dynamic mixing processes in spin triads of “breathing crystals” cu(hfac)2lr: a multifrequency...
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This paper is published as part of a PCCP Themed Issue on: Modern EPR Spectroscopy: Beyond the EPR Spectrum Guest Editor: Daniella Goldfarb
Editorial
Modern EPR spectroscopy: beyond the EPR spectrum Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b913085n
Perspective
Molecular nanomagnets and magnetic nanoparticles: the EMR contribution to a common approach M. Fittipaldi, L. Sorace, A.-L. Barra, C. Sangregorio, R. Sessoli and D. Gatteschi, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905880j
Communication
Radiofrequency polarization effects in zero-field electron paramagnetic resonance Christopher T. Rodgers, C. J. Wedge, Stuart A. Norman, Philipp Kukura, Karen Nelson, Neville Baker, Kiminori Maeda, Kevin B. Henbest, P. J. Hore and C. R. Timmel, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b906102a
Papers
Radiofrequency polarization effects in low-field electron paramagnetic resonance C. J. Wedge, Christopher T. Rodgers, Stuart A. Norman, Neville Baker, Kiminori Maeda, Kevin B. Henbest, C. R. Timmel and P. J. Hore, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b907915g
Three-spin correlations in double electron–electron resonance Gunnar Jeschke, Muhammad Sajid, Miriam Schulte and Adelheid Godt, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905724b 14N HYSCORE investigation of the H-cluster of [FeFe] hydrogenase: evidence for a nitrogen in the dithiol bridge Alexey Silakov, Brian Wenk, Eduard Reijerse and Wolfgang Lubitz, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905841a
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General and efficient simulation of pulse EPR spectra Stefan Stoll and R. David Britt, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b907277b
Dynamic nuclear polarization coupling factors calculated from molecular dynamics simulations of a nitroxide radical in water Deniz Sezer, M. J. Prandolini and Thomas F. Prisner, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905709a
Dynamic nuclear polarization of water by a nitroxide radical: rigorous treatment of the electron spin saturation and comparison with experiments at 9.2 Tesla Deniz Sezer, Marat Gafurov, M. J. Prandolini, Vasyl P. Denysenkov and Thomas F. Prisner, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b906719c
Dynamic mixing processes in spin triads of breathing crystals Cu(hfac)2LR: a multifrequency EPR study at 34, 122 and 244 GHz Matvey V. Fedin, Sergey L. Veber, Galina V. Romanenko, Victor I. Ovcharenko, Renad Z. Sagdeev, Gudrun Klihm, Edward Reijerse, Wolfgang Lubitz and Elena G. Bagryanskaya, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b906007c
Nitrogen oxide reaction with six-atom silver clusters supported on LTA zeolite Amgalanbaatar Baldansuren, Rüdiger-A. Eichel and Emil Roduner, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b903870a
Multifrequency ESR study of spin-labeled molecules in inclusion compounds with cyclodextrins Boris Dzikovski, Dmitriy Tipikin, Vsevolod Livshits, Keith Earle and Jack Freed, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b903490k
ESR imaging in solid phase down to sub-micron resolution: methodology and applications Aharon Blank, Ekaterina Suhovoy, Revital Halevy, Lazar Shtirberg and Wolfgang Harneit, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905943a
Multifrequency EPR study of the mobility of nitroxides in solid-state calixarene nanocapsules Elena G. Bagryanskaya, Dmitriy N. Polovyanenko, Matvey V. Fedin, Leonid Kulik, Alexander Schnegg, Anton Savitsky, Klaus Möbius, Anthony W. Coleman, Gennady S. Ananchenko and John A. Ripmeester, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b906827a
Ferro- and antiferromagnetic exchange coupling constants in PELDOR spectra D. Margraf, P. Cekan, T. F. Prisner, S. Th. Sigurdsson and O. Schiemann, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905524j
Electronic structure of the tyrosine D radical and the water-splitting complex from pulsed ENDOR spectroscopy on photosystem II single crystals Christian Teutloff, Susanne Pudollek, Sven Keßen, Matthias Broser, Athina Zouni and Robert Bittl, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b908093g
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A W-band pulsed EPR/ENDOR study of CoIIS4 coordination in the Co[(SPPh2)(SPiPr2)N]2 complex Silvia Sottini, Guinevere Mathies, Peter Gast, Dimitrios Maganas, Panayotis Kyritsis and Edgar J.J. Groenen, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905726a
Exchangeable oxygens in the vicinity of the molybdenum center of the high-pH form of sulfite oxidase and sulfite dehydrogenase Andrei V. Astashkin, Eric L. Klein, Dmitry Ganyushin, Kayunta Johnson-Winters, Frank Neese, Ulrike Kappler and John H. Enemark, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b907029j
Magnetic quantum tunneling: key insights from multi-dimensional high-field EPR J. Lawrence, E.-C. Yang, D. N. Hendrickson and S. Hill, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b908460f
Spin-dynamics of the spin-correlated radical pair in photosystem I. Pulsed time-resolved EPR at high magnetic field O. G. Poluektov, S. V. Paschenko and L. M. Utschig, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b906521k
Enantioselective binding of structural epoxide isomers by a chiral vanadyl salen complex: a pulsed EPR, cw-ENDOR and DFT investigation Damien M. Murphy, Ian A. Fallis, Emma Carter, David J. Willock, James Landon, Sabine Van Doorslaer and Evi Vinck, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b907807j
Topology of the amphipathic helices of the colicin A pore-forming domain in E. coli lipid membranes studied by pulse EPR Sabine Böhme, Pulagam V. L. Padmavathi, Julia Holterhues, Fatiha Ouchni, Johann P. Klare and Heinz-Jürgen Steinhoff, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b907117m
Structural characterization of a highly active superoxide-dismutase mimic Vimalkumar Balasubramanian, Maria Ezhevskaya, Hans Moons, Markus Neuburger, Carol Cristescu, Sabine Van Doorslaer and Cornelia Palivan, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905593b
Structure of the oxygen-evolving complex of photosystem II: information on the S2 state through quantum chemical calculation of its magnetic properties Dimitrios A. Pantazis, Maylis Orio, Taras Petrenko, Samir Zein, Wolfgang Lubitz, Johannes Messinger and Frank Neese, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b907038a
Population transfer for signal enhancement in pulsed EPR experiments on half integer high spin systems Ilia Kaminker, Alexey Potapov, Akiva Feintuch, Shimon Vega and Daniella Goldfarb, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b906177k
The reduced [2Fe-2S] clusters in adrenodoxin and Arthrospira platensis ferredoxin share spin density with protein nitrogens, probed using 2D ESEEM Sergei A. Dikanov, Rimma I. Samoilova, Reinhard Kappl, Antony R. Crofts and Jürgen Hüttermann, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b904597j
Frequency domain Fourier transform THz-EPR on single molecule magnets using coherent synchrotron radiation Alexander Schnegg, Jan Behrends, Klaus Lips, Robert Bittl and Karsten Holldack, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905745e
PELDOR study of conformations of double-spin-labeled single- and double-stranded DNA with non-nucleotide inserts Nikita A. Kuznetsov, Alexandr D. Milov, Vladimir V. Koval, Rimma I. Samoilova, Yuri A. Grishin, Dmitry G. Knorre, Yuri D. Tsvetkov, Olga S. Fedorova and Sergei A. Dzuba, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b904873a
Site-specific dynamic nuclear polarization of hydration water as a generally applicable approach to monitor protein aggregation Anna Pavlova, Evan R. McCarney, Dylan W. Peterson, Frederick W. Dahlquist, John Lew and Songi Han, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b906101k
Structural information from orientationally selective DEER spectroscopy J. E. Lovett, A. M. Bowen, C. R. Timmel, M. W. Jones, J. R. Dilworth, D. Caprotti, S. G. Bell, L. L. Wong and J. Harmer, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b907010a
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Local variations in defect polarization and covalent bonding in ferroelectric Cu2+-doped PZT and KNN functional ceramics at themorphotropic phase boundary Rüdiger-A. Eichel, Ebru Erünal, Michael D. Drahus, Donald M. Smyth, Johan van Tol, Jérôme Acker, Hans Kungl and Michael J. Hoffmann, Phys. Chem. Chem. Phys., 2009 DOI: 10.1039/b905642d
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Dynamic mixing processes in spin triads of ‘‘breathing crystals’’
Cu(hfac)2LR: a multifrequency EPR study at 34, 122 and 244 GHzw
Matvey V. Fedin,*a Sergey L. Veber,ab Galina V. Romanenko,a
Victor I. Ovcharenko,aRenad Z. Sagdeev,
aGudrun Klihm,
cEdward Reijerse,
c
Wolfgang Lubitzcand Elena G. Bagryanskaya
a
Received 26th March 2009, Accepted 4th June 2009
First published as an Advance Article on the web 8th July 2009
DOI: 10.1039/b906007c
Spin triads of copper(II) with two nitroxides are responsible for the magnetic anomalies in a new
family of molecular-magnetic compounds called ‘‘breathing crystals’’. We have shown previously
that electron paramagnetic resonance (EPR) spectroscopy allows one to investigate the
peculiarities of these systems and obtain valuable information on exchange interactions governing
the magnetic anomalies. One of the key processes revealed is the dynamic mixing between
different spin multiplets that leads to a coalescence of individual EPR lines at high temperatures.
The rates of the mixing were found to be fast at EPR frequencies between 9 and 94 GHz. In the
present work, we expose the spin triads to higher microwave frequencies of up to 244 GHz in
order to reach the conditions of intermediate or slow mixing rates. Three representatives of the
family of breathing crystals have been studied. Based on the simulations of EPR data at 34, 122
and 244 GHz, the rates of the mixing processes have been estimated and conclusions on their
character and temperature dependence have been drawn. The insights from high-field EPR clarify
previously obtained results and aid in the further development of EPR approaches for studying
these and similar systems. It is suggested that the static and dynamic Jahn–Teller effects may play
an important role in the mechanisms governing the observed spin exchange effects.
Introduction
Exchange-coupled heterospin systems have accumulated
significant interest from researchers during the last few
decades. Such systems of two or more coupled spins are often
found in inorganic and metal–organic complexes, including
those of biological relevance and those used in the design of
advanced magnetic materials.1–7 Three-spin nitroxide–copper(II)–
nitroxide clusters (see structure in Fig. 2a) were found to be
responsible for the magnetic anomalies in a new family of
molecular-magnetic compounds called ‘‘breathing crystals’’.8–16
A key characteristic of breathing crystals is their ability to
undergo reversible, thermally-induced structural rearrangements,
accompanied by changes in magnetic susceptibility similar to a
classical spin crossover. We have found recently that this
magnetic switching can also be induced by light.17 In both
cases of thermal and optical initiation, the switching of the
magnetic properties is attributed to a significant change of
the exchange interaction within the spin triads.16 Therefore,
a detailed understanding of the electronic structure and
dynamics of spin triads in breathing crystals is essential from
both a fundamental and applied point of view.
Electron paramagnetic resonance (EPR) spectroscopy is
widely used in the studies of exchange-coupled systems.18–24
We have shown previously that the EPR of strongly-coupled
spin triads is specific and informative.13–16 First, the ground
multiplet state of a triad (Fig. 1) becomes predominately
populated at relatively high temperatures (ca. 100–200 K for
breathing crystals) due to the large values of the exchange
interaction |J| 4 kT. This results in the observation of
‘‘enhanced’’ signals of the ground state with characteristic
g-values less than 2, whereas the EPR signals of the other
multiplet states are ‘‘suppressed’’ and therefore not observed.13
The effective g-tensors of the spin multiplets are given by
eqn (1), where gCu is the g tensor of the copper ion, and gR is
the isotropic g factor of the nitroxide radical.
gA = (4gR1 � gCu)/3
gB = gCu
gC = (2gR1 + gCu)/3. (1)
Second, at higher temperatures, where kT E |J| and kT 4 |J|,
the dynamic mixing processes operate between the three
multiplets of a triad and lead to a coalescence of individual
EPR lines and the actual observation of one averaged signal.14
By their manifestation, these mixing processes are very similar
to the well-known electron spin exchange (or electron
a International Tomography Center SB RAS, 630090, Novosibirsk,Russia. E-mail: [email protected]
bNovosibirsk State University, 630090, Novosibirsk, RussiacMax-Planck-Institut fur Bioanorganische Chemie, 45470,Mulheim/Ruhr, Germanyw Electronic supplementary information (ESI) available: Calculationsand simulations; crystal data and experimental details forCu(hfac)2L
Bu�0.5C8H10. CCDC reference numbers 725423–725428.For ESI and crystallographic data in CIF or other electronic formatsee DOI: 10.1039/b906007c
6654 | Phys. Chem. Chem. Phys., 2009, 11, 6654–6663 This journal is �c the Owner Societies 2009
PAPER www.rsc.org/pccp | Physical Chemistry Chemical Physics
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‘‘hopping’’) processes that might cause a coalescence of
spectral lines in liquid state EPR or NMR.
In our previous work14 we reported the first experimental
evidence for the existence of dynamic mixing processes
between the multiplets of spin triads of breathing crystals.
The observation of a single EPR line of a triad at kT 4 |J|,
instead of three lines of multiplets A, B and C, was explained
by the assumption that the dynamic mixing processes are very
fast at the time scale of the microwave frequencies used in this
work (34 and 94 GHz). The temperature-dependent position
of the EPR line of a triad was then explained by the change of
the relative Boltzman populations of multiplets A, B and C
versus temperature, leading to a shift of the ‘‘gravity center’’ of
the spectrum. As a possible mechanism that induces these
mixing processes, we have proposed a modulation of exchange
interactions between copper and nitroxide spins by lattice
vibrations. The transitions between doublets A 2 B can be
induced by an isotropic exchange interaction, whereas the
other two transitions (A 2 C and B 2 C) are only allowed
if one assumes anisotropy of the exchange interaction
(Fig. 1b). The estimations show that, for large values of |J|
(B100 cm�1), the rates of these transitions can indeed be as
high as 1010–1012 s�1. Model calculations have shown a good
qualitative agreement with the experimental data.
Fast dynamic mixing between multiplets was found to be a
useful characteristic of the processes observed in spin triads of
breathing crystals. It strongly simplifies both analytical
and numerical calculations, as well as the interpretation of
experimental data. The fast mixing condition allows one
to find a clear correlation between EPR and magnetic
susceptibility data.15 Moreover, when the mixing is fast, the
position of a coalesced EPR line of a triad becomes a good
spectroscopic probe of the exchange interaction. This relies on
the fact that we succeeded in developing an elegant approach
for the measurement of the temperature dependence of the
exchange interaction in breathing crystals.16 However, we
have also observed that for some compounds of the family
of breathing crystals the mixing processes at the W-band are
insufficiently fast for this simple theory to apply.14 Because of
that, some compromises between the spectral resolution
and mixing regime must be chosen. This has motivated us in
the present study to expand the EPR frequency range of
investigation to 122 and 244 GHz. It was expected that the
condition of slow or intermediate exchange could be reached
at higher frequencies, yielding the actual rates of the
mixing processes and providing insights into the mechanism.
In the following sections we describe and discuss the obtained
results.
Experimental
Synthesis, magnetic susceptibility and X-ray data of the breathing
crystals of composition Cu(hfac)2LPr, Cu(hfac)2L
Bu�0.5C8H18
(C8H18 = octane) and Cu(hfac)2LBu�0.5C8H10 (C8H10 =
orthoxylene) have been described previously,8–10,12,15 except for
the X-ray data for Cu(hfac)2LBu�0.5C8H10 that is given in the ESI
to this paper (structures in the CIF file are at T = 60, 100, 150,
180, 240 and 295 K).w In all experiments single crystals of these
compounds have been used.
A Bruker ER200D continuous wave Q-band EPR spectro-
meter equipped with a home-built resonator (TE011) and
Oxford CF935 flow cryostat has been used for the experiments
at 34 GHz. A home-built high-field EPR spectrometer25
equipped with an ICE-Oxford cryogenic system has been used
for the experiments at 122 and 244 GHz. These high-field EPR
experiments have been carried out without a resonator and
using induction mode detection.
Fig. 1 (a) Energy levels of a strongly exchange-coupled spin triad
(antiferromagnetic coupling). (b) Transitions induced by the modulation
of isotropic (—) and anisotropic (����) exchange interactions.
Fig. 2 (a) Polymer-chain structure of Cu(hfac)2LPr complexes (spin
triads are circled). (b) Temperature dependence of the effective
magnetic moment meff(T) of the three studied compounds: Cu(hfac)2LPr
(red circles), Cu(hfac)2LBu�0.5C8H10 (blue squares), Cu(hfac)2L
Bu�0.5C8H18 (green triangles). The results are taken from ref. 15.
This journal is �c the Owner Societies 2009 Phys. Chem. Chem. Phys., 2009, 11, 6654–6663 | 6655
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Results and discussion
Choice of the systems
We have selected three compounds of the expanding family of
breathing crystals for the multifrequency EPR study at 34, 122
and 244 GHz. All these compounds—Cu(hfac)2LPr,
Cu(hfac)2LBu�0.5C8H10 and Cu(hfac)2L
Bu�0.5C8H18—have
been previously studied by us using 9, 34 and 94 GHz EPR,
mainly in the form of polycrystalline powders.13–16 In order to
examine the frequency dependence of their EPR spectra at
slow/intermediate rates of the mixing process, we performed a
series of measurements of the temperature-dependent EPR for
each compound at each frequency band. The polycrystalline
powder spectra at high microwave (mw) frequencies (122 and
244 GHz) become very broad, especially at high enough
temperatures, where kT B |J|, where the mixing processes
become efficient, and therefore, are not very informative.
Because of that, single crystals were used in all cases; the
crystal orientation with respect to the magnetic field was
similar in all frequency bands for each compound. The
orientations used were chosen to approximately correspond
to the parallel component of the g-tensor of the one-spin
copper unit. These orientations ensured that no overlap of
the signals of the one-spin copper unit and the spin triad
occurs at high temperatures at any mw band and therefore
were the most convenient.
All three compounds under study experience gradual spin
transitions, i.e. the magnetic susceptibility changes smoothly
with temperature (Fig. 2b). The steepest dependence, meff(T), isobserved for Cu(hfac)2L
Bu�0.5C8H18. The curves of meff(T) forCu(hfac)2L
Pr and Cu(hfac)2LBu�0.5C8H10 are very close.
However, their shapes are somewhat different and the
maximum inclination (dmeff/dT) for Cu(hfac)2LBu�0.5C8H10 is
shifted by ca. 60 K to lower temperatures. We have chosen
these three cases of gradual dependences, meff(T), in order to be
able to trace the dynamics of spin transitions in detail, which
would hardly be possible for abrupt spin transitions occurring
within a few Kelvin.
Overview of the experimental results and general trends
Fig. 3 shows the 34, 122 and 244 GHz EPR data for the
breathing crystal Cu(hfac)2LPr. This compound has been most
Fig. 3 Temperature-dependent EPR spectra of Cu(hfac)2LPr. (a) nmw E 33.97 GHz; (b) nmw E 121.46 GHz; (c) nmw E 243.10 GHz. The spectra
in (a) and spectra on the left in (b) and (c) are normalized to the signal of the one-spin copper ion (low-field part of the spectrum). Plots on the right
in (b) and (c) represent the magnified signals of spin triads normalized to their maxima. Red lines show the simulations.
6656 | Phys. Chem. Chem. Phys., 2009, 11, 6654–6663 This journal is �c the Owner Societies 2009
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exhaustively studied by us previously (but never in single
crystal form, nor at microwave frequencies of nmw 4 95 GHz),
therefore it is an appropriate compound to start with. X-Ray
data show that this crystal consists of alternating planes in
which the polymer chains are not collinear with respect to each
other; however, in the direction of the principal axis of
symmetry, both the spin triads and one-spin copper(II) units
belonging to different chains are magnetically equivalent.
Therefore, the crystal was oriented with this principal axis
along the magnetic field. The spectrum of the spin triad at
Q-band shows a single EPR line at all temperatures. Its width
increases monotonically with T, and its position shifts from
the effective g-values of geff o 2 at low T to geff 4 2 at high T.
These observations at 34 GHz are characteristic for the case
of a fast mixing process between the spin multiplets of the
triad. However, at higher frequencies of 122 and 244 GHz, a
principally different behavior was observed. At intermediate
temperatures (T= 130–180 K), two lines corresponding to the
spin triad are readily detected, and a transfer of the intensity of
one line into the other occurs with increasing temperature.
This implies that the mixing processes at 122 and 244 GHz
become comparable to or slower than the frequency difference
between the two observed lines. One also observes that the
mixing process is generally slower at 244 GHz compared to
122 GHz, because, e.g. at T = 170 K, the two lines are nearly
coalesced at 122 GHz, whereas at 244 GHz they never do but
just transfer intensity from one to the other. Thus, a clear
qualitative conclusion can be drawn that the mixing processes
in spin triads of Cu(hfac)2LPr pass from fast to intermediate to
slow rates when the mw frequency is changed from 34 to 122
to 244 GHz.
The rates of the dynamic mixing processes are expected to
depend on temperature; therefore the above conclusion is only
valid for the temperature range where two resolved lines
of a triad are observed, i.e. at T = 130–180 K. At higher
temperatures, the observation of a single EPR line of the triad
shows that the mixing processes are fast at all mw bands. At
low temperatures (T o 100–120 K), one also observes a single
EPR line of the triad, although not necessarily due to fast
mixing, but rather because of a predominant population of the
ground state multiplet A and negligible populations of the two
higher multiplets.
Fig. 4 shows the 34, 122 and 244 GHz EPR data for the
breathing crystal Cu(hfac)2LBu�0.5C8H10.
In general, all the trends observed for this compound are
very similar to the case of the breathing crystal Cu(hfac)2LPr.
Again, the low-frequency (34 GHz, Fig. 4a) data show that the
EPR spectrum of the spin triad consists of a single line in the
temperature range of 50–250 K. The shape and the width of
this line does not change dramatically with temperature (as
compared to 122 and 244 GHz), with the exception of the
range of 100–130 K, where the line broadens and becomes
asymmetric. Thus, at 34 GHz the rate of the mixing process is
always fast as compared to the frequency difference between
the EPR lines of multiplets A, B and C. At the same time, it is
not as fast at T = 100–130 K, otherwise the averaged
(coalesced) line would have been symmetric. In contrast, at
higher frequencies (122 and 244 GHz) two resolved lines of the
spin triad are observed, and the intensity of one line is
gradually transferred to the other with increasing temperature.
Therefore, a similar qualitative conclusion can be drawn for
the breathing crystal Cu(hfac)2LBu�0.5C8H10, as was done for
Cu(hfac)2LPr above: the mixing process rates pass from the
situation of moderately fast mixing at 34 GHz to the situation
of slow mixing at 244 GHz.
Our third example, the compound of composition
Cu(hfac)2LBu�0.5C8H18, represents the other extreme case.
The EPR spectra of the triad show a single line at all frequency
bands (34, 122 and 244 GHz), which implies the slow mixing
regime cannot be reached even at 244 GHz (Fig. 5).
However, the evolution of the linewidth with temperature is
different at each frequency band, as shown in Fig. 6a.
The linewidth at 34 GHz increases monotonically with
temperature, which can be attributed to the increase of the
electron spin relaxation rate. The dependence of the linewidth
(half width at half maximum) on temperature, G(T), at 122 GHz,
however, has a pronounced maximum at ca. 110 K; then the
line narrows with increasing temperature until 170 K, where
relaxation takes over and the line starts to broaden again.
The G(T) dependence at 244 GHz displays an even more
pronounced maximum at ca. 110 K. All these observations
imply that the rates of the mixing processes are not extremely
fast at 122 and 244 GHz, but are still fast enough to lead to a
complete coalescence of the individual EPR lines of different
multiplets and an observation of a single line from the
spin triad. The shapes of the G(T) curves at 34, 122, and
244 GHz can be understood uniformly as superpositions of a
monotonically increasing function related to the homogeneous
linewidth with a ‘‘bell’’-like function arising from spin
exchange. The amplitudes of the ‘‘bell curves’’ for G(T) at
122 and 244 GHz differ roughly by a factor of 4. This is
consistent with the theoretical expectation that the linewidth in
the fast exchange limit is proportional to (oi � oj)2, where oi,j
are the frequencies of the exchanged lines that differ by a
factor of two between 122 and 244 GHz.
A qualitative comparison of the mixing rates of all three
studied compounds can be done using the G(T) dependenciesat low mw frequency (34 GHz) where a single line of the triad
is always observed for all compounds (Fig. 6b). The G(T)dependence of Cu(hfac)2L
Bu�0.5C8H18 shows virtually no
observable bell-like shape, meaning that the mixing rates lay
always in the fast exchange limit, as discussed above. The G(T)dependence of Cu(hfac)2L
Pr shows a quite shallow, but still
clearly detectable, bell-like shape, meaning that the mixing
rate for this compound is slower. Finally, the G(T) dependenceof Cu(hfac)2L
Bu�0.5C8H10 clearly shows a pronounced
bell-like shape indicating that the mixing processes are slowest
for this compound among the three studied. Consequently, the
mixing rate increases in the series of the three compounds as
Cu(hfac)2LBu�0.5C8H10 - Cu(hfac)2L
Pr - Cu(hfac)2LBu�
0.5C8H18.
In the case of the slow mixing process, which seems to occur
for the compounds of composition Cu(hfac)2LBu�0.5C8H10
and Cu(hfac)2LPr at 244 GHz, we observe a spectrum of the
spin triad, consisting of two lines that pass the intensity from
one to the other with increasing temperature. The question is
why can only these two EPR lines be detected, even though
there are three multiplets, A, B and C, with their three
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individual (and clearly different) g-tensors [see eqn (1)]? In our
previous work we proposed that the dynamic mixing process
could be caused by the modulation of the exchange interaction
through lattice vibrations.14 We have remarked that the
transitions between the multiplets A and B are much faster
than all other transitions involving multiplet C, because the
A2 B mixing is induced by the isotropic part of the exchange
interaction, whereas the other transitions are only weakly
allowed due to the anisotropic exchange and other smaller
contributions. Therefore, the rates of mixing between
multiplets A and B should be much faster than the ones for
A,B 2 C. It seems that our high-field study confirms these
expectations. First, the region where the signal of multiplet B
should be observed, with g= gCu, is absolutely ‘‘clean’’ within
our experimental accuracy at all temperatures. Note that the
g-tensors of the magnetically isolated copper ion and the
copper ion within a spin triad are not collinear, and that no
overlap of their signals is expected for the chosen orientations.
Second, the position of the high-field line of the triad shifts
slightly towards higher g-factors even before and during the
transfer of its intensity to the low-field line (Fig. 3c and 4c).
These two observations are fully consistent with the assumption
of fast mixing between multiplets A and B for all studied
systems at all mw bands. The lower limit for the A 2 B
exchange rate at high temperatures can be estimated from the
difference of g-factors, gA and gB, and the mw frequency,
244 GHz, as kexA2B 4 3 � 1010 s�1.
Now, having understood the basic trends and differences of
the EPR spectra of these three selected compounds, we would
like to investigate the mixing processes in more detail, with the
aim of understanding what quantitative information can be
obtained using simulations, as well as what information on the
mechanism and character of the mixing processes can be
derived.
Simulations and quantitative study
In order to verify the agreement of the experimental data with
our theoretical model, we have performed ‘‘2-D’’ simulations
Fig. 4 Temperature-dependent EPR spectra of Cu(hfac)2LBu�0.5C8H10. (a) nmw E 33.97 GHz; (b) nmw E 121.48 GHz; (c) nmw E 243.07 GHz.
The spectra in (a) and the spectra on the left in (b) and (c) are normalized to the signal of the one-spin copper ion (low-field part of the spectrum).
Plots on the right in (b) and (c) represent the magnified signals of spin triads normalized to their maxima. Red lines show the simulations.
At T = 130–160 K, an agreement between experiment and simulation cannot be found, as exemplified by red dotted lines in (c).
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of the experimental spectra vs. temperature and vs. mw
frequency. The theoretical approach was described in our
previous work.14 Briefly, (i) the multiplets, A, B and C, of a
spin triad are modeled by three paramagnetic centers, with the
corresponding g-tensors given by eqn (1); (ii) the intensities
of their lines take into account the probabilities of the
corresponding EPR transitions and the Boltzmann population
factors corresponding to the exchange interaction J; (iii) the
dynamic mixing process between given multiplets, M and N, is
introduced as a reversible, monomolecular reaction, M 2 N,
with the rate constants coupled by an expression, kM-N =
kN-Mexp[(EM � EN)/kT], where EM,N are the energies of the
corresponding multiplets. The characteristic rate of the mixing
(exchange) process is then defined as kexMN = kM-N + kN-M,
as is usual for exchange rates. The solution of the modified
Bloch equations is numerically performed and the arrays of
the resulting spectra are simultaneously calculated for the
three mw bands at each temperature. The input parameters
of the spin triad at a certain temperature are: g-factors of the
copper ion, gCu, and nitroxide, gR; the exchange coupling
constant, J; the transverse relaxation times, TA,B,C2 , of each
multiplet, A, B and C, associated with the widths of
corresponding lines; and the mixing process rate constants,
kexMN = kM-N + kN-M. The exchange coupling constant is a
function of temperature, J = J(T), and was estimated by
fitting the magnetic susceptibility data of Cu(hfac)2LBu�
0.5C8H10 and Cu(hfac)2LPr, or taken directly as obtained
previously by EPR16 of Cu(hfac)2LBu�0.5C8H18 (details in
the ESIw). The g-tensor of the nitroxide was taken to be
isotropic, with gR = 2.007. The relaxation times, TA,B,C2 ,
influence mainly the linewidth of the signals and were adjusted
for each spectrum. The main difficulty in the interpretation of
the temperature dependence of the single crystal EPR of the
breathing crystals is the fact that the g-tensor of the copper ion
also evolves with temperature [gCu = gCu(T)], and thus the
Fig. 5 Temperature-dependent EPR spectra of Cu(hfac)2LBu�0.5C8H18. (a) nmw E 33.96 GHz; (b) nmw E 122.00 GHz; (c) nmw E 243.80 GHz. All
spectra are normalized to the signal of the one-spin copper ion (low-field part of the spectrum). Red lines show the simulations.
Fig. 6 Linewidth (HWHM) analysis for the studied compounds
vs. temperature and mw frequency. (a) Temperature dependence of
the linewidth of the compound Cu(hfac)2LBu�0.5C8H18 in three mw
bands (corresponding frequencies are indicated on the plot). (b)
Comparison of the temperature dependence of the linewidth for the
three studied compounds in the Q-band (34 GHz): Cu(hfac)2LPr
(red circles), Cu(hfac)2LBu�0.5C8H10 (blue squares), Cu(hfac)2L
Bu�0.5C8H18 (green triangles). The points are connected using spline
functions.
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g-value at each temperature has to be adjusted experimentally.
Finally, the last variables are the exchange rates between
corresponding multiplets (kexMN), which, of course, are constant,
vs. mw frequency at each particular temperature. This, despite
many variable parameters in the simulation, allowed us to
obtain rather strict estimates for the mixing rate constants. As
was discussed above, we assume that the mixing rates of
A,B 2 C are much slower than A 2 B because the former
two transitions are only weakly allowed due to the small
anisotropy of the exchange coupling. Therefore, following
our previous work,14 the mixing rates depend on the energy
splitting between corresponding multiplets and temperature
according to:
kexMN ¼ KMNcothEM � ENj j
2kT
� �; ð2Þ
and KA2C E KB2C = aKA2B, with ao 1 being the measure
of exchange anisotropy in the system. Because there are too
many unknown adjustable variables, our main focus was to
test the agreement of experiment and theory for a reasonable
set of parameters and to obtain estimates for the mixing rate
constants.
For the compound Cu(hfac)2LPr, we succeeded in obtaining
a satisfactory agreement with the experimental data for all mw
bands and temperatures (Fig. 3) using a reasonable set of
parameters (given in the ESIw). Indeed, with a couple
of exceptions, the relative line intensities and shapes are
fairly well described; both of them are very sensitive to the
mixing process rates, kexMN. The obtained values vary in the
temperature range from T = 90 to T = 250 K as follows:
kexAB= (2� 1010)–(2� 1012) s�1, kexAC= (1� 109)–(8� 1010) s�1,
kexBC = (1 � 109)–(2 � 1011) s�1.
Good agreement with the experiment was also obtained for
the compound of composition Cu(hfac)2LBu�0.5C8H18. For
this compound the condition of fast exchange is met and a
single EPR line has to be simulated without a resolved
structure. The dependence of the linewidth on temperature
allowed us to obtain a good estimate for the lower limit of the
mixing rate constants that vary in a temperature range from
T=50 toT=220K as follows: kexAB4 (2� 1011)–(1� 1013) s�1,
kexAC4 (1� 1010)–(4� 1011) s�1, kexBC4 (1� 1010)–(1� 1012) s�1.
However, for the compound Cu(hfac)2LBu�0.5C8H10, we did
not succeed in obtaining a reasonable agreement between
experiment and model calculations at 122 and 244 GHz at
intermediate temperatures. We have found that, although
qualitatively all the trends are very similar for Cu(hfac)2LPr
and Cu(hfac)2LBu�0.5C8H10, the positions of the two observed
lines can be well simulated in the former case, but cannot in
the latter (exemplified in Fig. 4c for T = 130–160 K). In fact,
this is a fundamental disagreement, because, theoretically, the
positions of EPR lines of multiplets A and C are inter-
connected by the relations in eqn (1). Therefore the adjustment
of the position of one line should automatically result in the
correct position of the second line. The zero-field splitting
could possibly result in a shift of the line of multiplet C
(S = 3/2 state). However, the separation of two EPR lines
of a triad is virtually the same in the units of g-factor at 122
and 244 GHz, and the effective g-values corresponding to the
observed signals are very close in both bands. This excludes a
contribution from the zero-field splitting to the positions of the
lines of the spin triad. A closer consideration shows that the
assignment of the low-field line of the triad to the line of
multiplet C is even more problematic. On the one hand, the
observation of two lines that pass the intensity from one to
the other implies the slow mixing (exchange) limit, and thus
the low-field line should be observed at gC = (2gR + gCu)/3.
However, the observed g-factor was equal to 2.007, which
would lead to an unrealistic value of gCu E gR E 2.007, which
is unusual for copper(II) ions in general, and outside the range
of the g-tensor of copper for these compounds, whose powders
were studied by us previously (principal values of
gCu = [2.063, 2.078, 2.314] were found at T = 80 K).14,15
Thus, the low-field line of the triad cannot be assigned to the
multiplet C (nor B, for the same reason, nor their mixture).
The evolution of this line at higher temperatures of T4 160 K
resembles the evolution of the fast dynamically-averaged line
of the spin triad that, finally at kT c |J|, should coincide with
the EPR line of multiplet C. Indeed, a single line is observed
that shifts with the temperature towards higher g-values. The
simulations of low temperature and high temperature spectra
allowed us to set the limits for the values of the mixing
rates that vary in a temperature range from T = 70 and
T = 250 K as follows: kexAB = 2 � 1010–3 � 1011 s�1,
kexAC = 1 � 109–1 � 1010 s�1, kexBC = 1 � 109–4 � 1010 s�1,
respectively. The questions still to be answered are (i) what is
happening at intermediate temperatures when the two resolved
lines are clearly observed, and (ii) what difference between the
two compounds Cu(hfac)2LPr and Cu(hfac)2L
Bu�0.5C8H10
could be the reason for the agreement or disagreement of
the experiment with theory?
As was mentioned above, the single crystal EPR spectra of
the spin triads and their temperature dependence are affected
by the evolution of the g-tensor of the copper ion. At high
temperatures, the elongated axis of the octahedron (and thus gCu8 )
is oriented along the OL–Cu–OL bond, where OL is the
oxygen atom of the nitroxide. At low temperatures,
the elongated axis of the octahedron (and gCu8 ) is flipped to
the perpendicular plane along the Ohfac–Cu–Ohfac bond, where
Ohfac is the oxygen atom of hexafluoroacetylacetonate.
At some intermediate temperature, the octahedrons pass
the situation of equal bond lengths between l(OL–Cu)
and l(Ohfac–Cu), where l indicates bond length. Perhaps,
due to the Jahn–Teller nature of copper, this situation
corresponds to an instability point of the octahedron,
and two vibronically-coupled states with slightly different
bond lengths, l(OL–Cu) o l(Ohfac–Cu) and l(OL–Cu) 4l(Ohfac–Cu), may coexist. Because the exchange interaction
is a function of bond length, the positions of these two states
(effective g-factors) will be different. The temperature change
will affect the probability of the system being found in one of
the vibronically-coupled states, and thus will lead to the
passing of intensity from one EPR line to the other. Following
this hypothesis, we should assign the high-field EPR line
of the triad of Cu(hfac)2LBu�0.5C8H10 to the structural state
where l(OL–Cu) o l(Ohfac–Cu), and the low-field line to the
structural state where l(OL–Cu) 4 l(Ohfac–Cu). This dualism
is clearly observed only in a relatively narrow range of
temperatures (T = 120–160 K). Outside this region, the
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behavior of the EPR spectrum is consistent with the
expectations of our previously developed model. When
discussing the rates of the mixing process in this situation,
we should discriminate between the mixing between multiplets
A, B and C of each triad (kexMN), and the mixing between two
geometrically different structural states of each triad. The
former mixing should be fast enough to average the individual
lines of multiplets A, B and C. The latter mixing between two
geometrically different states, on the other hand, should be
slow at 122 and 244 GHz for two separate (not coalesced) lines
to be detected.
The questions arise: why should the same concept not be
used for the interpretation of the very similar behavior of
Cu(hfac)2LPr? For Cu(hfac)2L
Pr, are we really observing the
lines of the different multiplets of the triad in the slow
exchange limit, or, alternatively, could the two lines result
from two geometrically different vibronically-coupled states,
like in case of Cu(hfac)2LBu�0.5C8H10? At the moment we
cannot confidently distinguish between these two alternative
explanations; however, the following arguments support the
assignments made. In case of Cu(hfac)2LPr, the simpler model
(without any dualism around the instability point) allows for a
good agreement with the experiment and provides the correct
positions of the EPR lines. The temperature-induced shift of
the dynamically-averaged line at temperatures above the range
where two lines are observed (T = 180 - 260 K for
Cu(hfac)2LPr and T = 150 - 280 K for Cu(hfac)2L
Bu�0.5C8H10) is much larger in case of Cu(hfac)2L
Bu�0.5C8H10
(ca. 0.15 T; cf. 0.06 T for Cu(hfac)2LPr). This implies that the
low-field line of the triad in the case of Cu(hfac)2LBu�0.5C8H10
is more likely to be assigned to the fast dynamically averaged
state of the triad, rather than to the line of multiplet C in the
slow exchange regime. It also makes sense to compare the
structural data on bond lengths for all three investigated
compounds. Fig. 7 shows the dependences of l(OL–Cu) and
l(Ohfac–Cu) on temperature. For Cu(hfac)2LBu�0.5C8H18, the
instability point [l(OL–Cu) = l(Ohfac–Cu)] is located at the
lower temperature end of the spin transition (T E 120 K),
where the multiplet A is still predominately populated. For
Cu(hfac)2LPr, it is, on the other hand, located at the upper
temperature end (T E 205 K), where |J| o kT and all three
spin multiplets are populated. For our complicated case of
Cu(hfac)2LBu�0.5C8H10, the instability point is located closer
to the center of the spin transition (T E 175 K), i.e. the
pronounced redistribution of populations between spin
multiplets occurs more or less around the instability point.
We suppose that this might be the reason for the peculiar
dualism observed for Cu(hfac)2LBu�0.5C8H10. Apparently, the
following conditions must be fulfilled for the dualism to be
observed: (i) the temperature evolution of the bond lengths in
the octahedrons must allow for the slow passing through of
the instability point, and (ii) the temperature of the instability
point must be close to the center of the spin transition.
Discussion of the dynamic mixing mechanism
Finally, we would like to discuss some novel aspects of the
mixing process mechanism arising from our present and some
other recent studies. In our first report on the observation of
the dynamic mixing processes we proposed that the mixing
could be induced by a modulation of the exchange interaction
due to lattice vibrations.14 We showed that for large enough
values of J the rate of mixing due to this mechanism can be
fast enough to average the lines of individual multiplets at mw
frequencies up to 94 GHz. An estimated value of the mixing
rate constant, kexMN, of up to 1012 s�1 was obtained assuming
|J|B 100 cm�1. However, in our later work,16 we showed that
the exchange interaction in breathing crystals is strongly
temperature-dependent: the J value decreases by one order
of magnitude (as for Cu(hfac)2LBu�0.5C8H18) at high T. The
expected dependence, kexMN(J), due to the modulation
of the exchange interaction is very steep (approximately,
kexMN p J4 for kT c J), and thus kexMN(J) is expected to drop
down to B108 s�1 at high T. Hence, the modulation of the
exchange interaction does not provide for sufficiently high
mixing rates at high temperatures and we have to look for an
additional mechanism.
It is well known that many octahedral complexes of Cu(II)
exhibit a static and/or dynamic Jahn–Teller effect. The static
effect results in the distortion of regular octahedrons and
observation of elongated or compressed geometries. The
dynamic Jahn–Teller effect is a more complicated phenomenon
and usually shows interesting manifestations in single-crystal
EPR spectra. For example, if several orientations of the
elongated octahedral axis are allowed by the structure, the
low temperature EPR spectrum would show a superposition
of signals corresponding to each orientation. At higher
temperatures, however, the fast jumps (exchanges) between
these orientations average these signals and a coalesced line
with an average g-value is observed instead. The transition
temperature from a ‘‘static’’ to a ‘‘dynamic’’ spectrum
(often called the ‘‘anisotropic’’ - ‘‘isotropic’’ transition) is
determined by the magnitudes of potential barriers between
the local energy minima in each orientation. The structure of
Fig. 7 Temperature-dependent bond length changes for the three
studied compounds as observed by X-ray crystallography (ESIw and
ref. 15): Cu(hfac)2LPr (blue), Cu(hfac)2L
Bu�0.5C8H10 (red),
Cu(hfac)2LBu�0.5C8H18 (green). For each compound, Cu–Ohfac and
Cu–OL bond lengths, that ‘‘cross’’ with temperature, are shown. Note
that the Cu–OL bond lengths increase with temperature, whereas the
Cu–Ohfac bond lengths decrease with increasing temperature.
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breathing crystals (and thus the potential energy surface) are
temperature dependent, thus the dynamic Jahn–Teller effect
may not simply lead to a collapse of the ‘‘static’’ spectrum into
a single line at high temperatures, but may also lead
to additional peculiarities at intermediate temperatures.
Moreover, because we studied the spin triad and not a single
copper ion, the manifestations of the dynamic Jahn–Teller
effect in the EPR should also be different. In fact, they should
be very similar to the manifestations of mixing due to the
modulation of J, as discussed by us in ref. 14 and also in this
work. Both mechanisms—the modulation of J coupling and
the dynamic Jahn–Teller effect—may cause the mixing of spin
multiplets of a triad. In the first case it is a direct process
induced by magnetic interactions; in the second case it might
occur due to the relaxation-assisted redistribution of thermal
populations of multiplets following the sudden changes in J
coupling. It is noteworthy that our recent studies also witness
that the excited state, characterized by a different Jahn–Teller
axis, is not structurally forbidden and can be accessed and
trapped using light excitation at low temperatures.17
To estimate the magnitudes of the mixing rates due to the
dynamic Jahn–Teller effect, we can employ the literature data
for copper(II) ions. Of course, this approach is not fully correct
since we have an additional magnetic (exchange) interaction in
the spin triad, but, for a rough order-of-magnitude estimate, it
should be valid. In many known cases of copper(II) ions, the
transition from an anisotropic to an isotropic spectrum begins
at around 100 K, and then, as the temperature increases, the
spectrum is continuously transformed into the isotropic shape.
Ref. 26 reports the Q-band (34 GHz) spectra of
[(HC(Ph2PO)3)2Cu](ClO4)2�2H2O powder, which are not
influenced by the dynamic Jahn–Teller effect at T = 9.1 K,
but display the averaged components of the g-tensor at 292 K.
According to a theoretical extrapolation, the complete aver-
aging occurs at ca. 340 K. Ref. 27 reports an extensive
reinvestigation of complex Cu(im)6 in Zn(im)6Cl2�4H2O,
which exhibits a strong Jahn–Teller effect, which is static
below 100 K. At higher temperatures the dynamic Jahn–Teller
effect operates, leading to a transition to an isotropic
(liquid-like) spectrum; however, up to room temperature the
transformation remains incomplete. The detailed study of the
vibronic dynamics of Cu(H2O)6 complexes allowed the same
authors to estimate the rate of jumps between the two sites of
Cu2+ complexes, yielding values as high as 109 s�1 at room
temperature.28 Typically, for copper(II) ions doped in a
diamagnetic lattice, the energy gap between the ground state
and the first excited vibronic level corresponds to kT at a
temperature of a few hundred Kelvin (which determines that
the transition from the anisotropic to the isotropic spectrum
shape usually occurs at ca. 100 K). In the breathing crystals
studied by us, the bond lengths change gradually with
temperature, passing slowly through the ‘‘instability’’ point
of two equal bond lengths. Therefore, it is reasonable to expect
a significant lowering of the potential energy barrier at
temperatures around this point and significantly higher jump
rates than B109 s�1 (obtained for a barrier of B100 cm�1)
between the ground and low-lying excited states.
Thus, both the modulation of the exchange interaction
and the dynamic Jahn–Teller effect may contribute to the
mechanism of dynamic mixing processes in breathing crystals.
In fact, these two processes are coupled in an exchange-
coupled spin triad. Indeed, in the presence of exchange inter-
actions between copper and oxygen spins, the jumps between
situations with different Cu–O bond lengths are conjugated
with the changes in the exchange interaction. Therefore, the
dynamic Jahn–Teller jumps can be considered as some kind of
large-amplitude modulation of the exchange interaction, i.e.
our previously proposed mechanism.14 From the other point
of view, when discussing the jump rates due to the dynamic
Jahn–Teller effect in breathing crystals, we must account for
the perturbations induced by sudden changes of J and their
influence on the spin system. Thus, these two mechanisms are
interdependent. Of course, a detailed theoretical description of
the Jahn–Teller effect coupled to the exchange interaction in
spin triads has yet to be developed. Our experimental data
could then be analyzed on the basis of such a treatment, and
definite conclusions on the mechanism could be drawn.
Conclusions
In this work, we have studied the dynamic mixing processes in
strongly-coupled spin triads of breathing crystals, Cu(hfac)2LR,
using high-field multifrequency EPR at 34, 122, and 244 GHz.
We could, for the first time, observe the resolved structure of the
multiplets of the spin triad at 122 and 244 GHz by reaching the
limit of slow mixing rates compared to the frequency difference
between the EPR lines. The multifrequency EPR study and
simulations allowed us to estimate the characteristic rates of the
exchange processes: they typically range from 109 to 1012 s�1
and higher. Based on these values and the comparison
of simulation and experiment, we have proposed that the
contribution of the dynamic Jahn–Teller effect in breathing
crystals is important and should be studied theoretically in the
future. As one of the consequences of the present study, the
applicability of the previously developed method of measuring
the temperature dependence of the exchange interaction, J(T),
has been substantiated.16 The first high-frequency (122 and
244 GHz) EPR study of breathing crystals has confirmed our
previously developed theoretical model, but has also revealed
new characteristics to be addressed in the future.
Acknowledgements
We thank Dr Ksenia Yu. Maryunina (ITC Novosibirsk) for
providing us with the compounds. This work was supported
by the Alexander von Humboldt Foundation (M.F.), the Max
Planck Society; the RFBR (08-03-00326); the Council at the
RF president (MK-60.2008.3); the Grant for the Leading
Scientific Schools (NSh-3604.2008.3); the Russian Science
Support Foundation; and the Program of Presidium RAS
No. 18.13.
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