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Network for Computational Nanotechnology - Engineered nanoBIO Node Network for Computational Nanotechnology - Engineered nanoBIO Node (NCN 1720625) (NCN 1720625) Vikram Jadhao, Paul Macklin, Andy Somogyi, James Glazier, Trevor Douglas, Marlon Pierce, Geoffrey Fox Vikram Jadhao, Paul Macklin, Andy Somogyi, James Glazier, Trevor Douglas, Marlon Pierce, Geoffrey Fox Intelligent Systems Engineering, Pervasive Technology Institute, and Department of Chemistry, Indiana University Intelligent Systems Engineering, Pervasive Technology Institute, and Department of Chemistry, Indiana University PhysiCell:nanoBIO NP Characterizaon Lab Extract NP Properties in Bioenvironments NP Shape Lab Design Application- specific NP Shapes NP Self-Assembly Lab Engineer NP Clusters to Interface with Cells NP-Cell Simulator Predict NP-mediated Cellular Response Physics-based Agent Model for 10 6 + Cells 10 – 50 nm 0.5 – 20 nm 50 – 1000 nm 1 – 100 m 10 – >1000 m Multiscale and Integrated Computational Tools Rationale and Goals Community Involvement and Outreach o User-Informed Spiral Development o Developer Support via Frameworks o nanoBIO Hackathons o Open-sourced on GitHub o XSEDE Integration for Scalability o Interaction with SGCI to Target MSI o Summer and All-year REUs o Use in Courses; Online Education o Annual Engineered nanoBIO Workshop

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Page 1: Network for Computational Nanotechnology - Engineered ......Network for Computational Nanotechnology - Engineered nanoBIO Node (NCN 1720625) Vikram Jadhao, Paul Macklin, Andy Somogyi,

Network for Computational Nanotechnology - Engineered nanoBIO NodeNetwork for Computational Nanotechnology - Engineered nanoBIO Node(NCN 1720625)(NCN 1720625)

Vikram Jadhao, Paul Macklin, Andy Somogyi, James Glazier, Trevor Douglas, Marlon Pierce, Geoffrey FoxVikram Jadhao, Paul Macklin, Andy Somogyi, James Glazier, Trevor Douglas, Marlon Pierce, Geoffrey Fox

Intelligent Systems Engineering, Pervasive Technology Institute, and Department of Chemistry, Indiana University Intelligent Systems Engineering, Pervasive Technology Institute, and Department of Chemistry, Indiana University

PhysiCell:nanoBIONP Characterization Lab

Extract NP Properties in Bioenvironments

NP Shape Lab

Design Application-specific NP Shapes

NP Self-Assembly Lab

Engineer NP Clusters to Interface with Cells

NP-Cell Simulator

Predict NP-mediated Cellular Response

Physics-based Agent Model for 106 + Cells

10 – 50 nm0.5 – 20 nm 50 – 1000 nm 1– 100 m 10– >1000 m

Multiscale and Integrated Computational Tools

Rationale and Goals

Community Involvement and Outreacho User-Informed Spiral Developmento Developer Support via Frameworkso nanoBIO Hackathons

o Open-sourced on GitHubo XSEDE Integration for Scalabilityo Interaction with SGCI to Target MSI

o Summer and All-year REUso Use in Courses; Online Educationo Annual Engineered nanoBIO Workshop

PREDICTIVE THEORETICAL AND COMPUTATIONAL … · 2019. 7. 3. · predictive theoretical and computational approaches for characterizing engineered bioswale systems performance a dissertation

Why is Nanotechnology Multidisciplinary? A perspective of ...home.ufam.edu.br/berti/nanomateriais/aulas pptx e... · Network for Computational Nanotechnology 13 Simulation is Essential

A Framework for Integrating Computational Simulations into ... · ing contexts. She is currently a member of the educational team for the Network for Computational Nanotechnology

NANOTECHNOLOGY: THE NEXT CHALLENGE FOR ORGANICS · Abstract Nanotechnology is the fast growing science of the ultra small; it is creating engineered particles in the size range 1

NanoHUB.org online simulations and more Network for Computational Nanotechnology 1 Autonomic Live Adaptation of Virtual Computational Environments in a

FAQ's - Nanotechnology and Engineered · PDF fileFrequently asked questions Nanotechnology and Engineered Nanomaterials A Primer authors: Andrew W. Salamon, Patrick Courtney and Ian

Computational issues in nanotechnology and stochastic computing

A Network for Computational Nanotechnology

Review of Safety Practices in the Nanotechnology Industry · Introduction Nanotechnology is the understanding and control of engineered materials at dimensions of 1 to 100 nanometers,

Integrated nanotechnology platform for tumor-targeted … · 87545; jOncothyreon, Seattle, WA 98121; kCenter for Micro-Engineered Materials, University of New Mexico, Albuquerque,

growth and metastasis in genetically engineered mouse ... · growth and metastasis in genetically engineered mouse models of pancreatic cancer ... Using our established computational

Network for Computational Nanotechnology (NCN) Ben Haley Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP Network for Computational

Network for Computational Nanotechnology Hub-based Simulation and Graphics Hardware Accelerated Visualization for Nanotechnology Applications Wei Qiao

Sunhee Lee Network for Computational Nanotechnology Electrical and Computer Engineering

Nanotechnology( یروافونان یاهباتک لماک عومجمeng.iauctb.ac.ir/Files/72/Content/Nanotechnology E-Books.pdf · Computational Finite Element Methods in Nanotechnology

Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP Success

Tutorial3: NEMO5 Models Jean Michel D. Sellier, Tillmann Kubis, Michael Povolotskyi, Jim Fonseca, Gerhard Klimeck Network for Computational Nanotechnology

1 LEGO Scanning Probe Microscope Project Partners: Mark Lundstrom, NSF Network for Computational Nanotechnology Supriyo Datta, NASA Institute on Nanotechnology

Network for Computational Nanotechnology (NCN) Gerhard Klimeck Berkeley, Univ. of Florida, Univ.of Illinois, Norfolk State, Northwestern, Purdue, Stanford,

Computational Nanotechnology of Molecular …In the following, we discus how the basic computational techniques in materials physics and chemistry (e.g., classical molecular dynamics,

Network for Computational Nanotechnology (NCN) NanoElectronic Modeling with the NEMO toolkit on nanoHUB Jim Fonseca Network for Computational Nanotechnology

Network for Computational Nanotechnology (NCN)Supporting the Next Phase of NCN … · 2017. 3. 15. · Network for Computational Nanotechnology (NCN)Supporting the Next Phase of NCN

Network for Computational Nanotechnology (NCN) · because the computational stencil extends by two nodes past the tile boundary in each direction. These specific dimensions are chosen

NanoHUB.org: Cyberinfrastructure for Research and Education Michael McLennan Software Architect Network for Computational Nanotechnology Purdue University

CREATE Computational Modeling Support for the Engineered … · 2017-05-17 · Approved for Public Release. Distribution is unlimited. ITL-16-16. CREATE Computational Modeling Support

Strategic Plan for NIOSH Nanotechnology Research · 2018-12-19 · ongoing research on the safety and health implications of engineered nanomaterials . The NIOSH Nanotechnology Research

NANOTECHNOLOGY: THE NEXT CHALLENGE FOR ORGANICSorgprints.org/13569/01/13569.pdf · Nanotechnology is the fast growing science of the ultra small; it is creating engineered particles

A. Arun Goud Network for Computational Nanotechnology (NCN) Electrical and Computer Engineering

Synthetic cooperation in engineered yeast populations ... · Synthetic cooperation in engineered yeast populations Wenying Shou*†‡, Sri Ram†, and Jose M. G. Vilar* *Computational

Computational Materials Science - ICT · 2019-06-14 · Materials for Nanotechnology Computational Materials Science SMMs, SIMs and graphone represent some of the best candidates

Modeling thermoelectric properties of TI materials: a Landauer approach Jesse Maassen and Mark Lundstrom Network for Computational Nanotechnology, Electrical

HUBBUB 2013 September 5-6, 2013 The nanoHUB-U Initiative Mark Lundstrom and Supriyo Datta Network for Computational Nanotechnology Birck Nanotechnology

LOCATION IV European Conference on Computational Mechanics · Computational methods for nanotechnology, MEMS/NEMS devices • Computational methods for non-smooth and multibody problems

Health effects of free engineered nanoparticles: an ...€¦ · 06/09/2008 · [email protected]. Nanotechnology Many potential benefits • Targeted pharmaceuticals • Water

Basis Sets and Performance (Lecture 3) NSF Computational Nanotechnology and Molecular Engineering Pan-American Advanced Studies Institutes (PASI) Workshop