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Jeffrey C Grossman

Showing results (1-10 of 160) with videos related to

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The Journal of Physical Chemistry Letters|August 21, 2015
Photoswitchable Molecular Rings for Solar-Thermal Energy StorageE Durgun, Jeffrey C Grossman
Physical Review Letters|April 26, 2018
Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material PropertiesTian Xie, Jeffrey C Grossman
The Journal of Chemical Physics|November 10, 2018
Hierarchical visualization of materials space with graph convolutional neural networksTian Xie, Jeffrey C Grossman
Nano Letters|August 14, 2008
Prediction of ultra-high aspect ratio nanowires from self-assemblyZhigang Wu, Jeffrey C Grossman
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 31, 2017
Graphene Nanoribbon Based Thermoelectrics: Controllable Self- Doping and Long-Range DisorderHuashan Li, Jeffrey C Grossman
ACS Applied Materials & Interfaces|September 10, 2016
Conformal Electroplating of Azobenzene-Based Solar Thermal Fuels onto Large-Area and Fiber GeometriesDavid Zhitomirsky, Jeffrey C Grossman
Nano Letters|June 6, 2007
Insights on interfacial charge transfer across P3HT/fullerene photovoltaic heterojunction from Ab initio calculationsYosuke Kanai, Jeffrey C Grossman
Physical Review Letters|March 24, 2005
Efficient quantum monte carlo energies for molecular dynamics simulationsJeffrey C Grossman, Lubos Mitas
Nano Letters|February 23, 2008
Role of semiconducting and metallic tubes in P3HT/carbon-nanotube photovoltaic heterojunctions: density functional theory calculationsYosuke Kanai, Jeffrey C Grossman
Nano Letters|November 6, 2014
Accelerating the design of solar thermal fuel materials through high throughput simulationsYun Liu, Jeffrey C Grossman
Pageof 16

Showing results (1-10 of 160) with videos related to

Sort By:
Pageof 16
The Journal of Physical Chemistry Letters|August 21, 2015
Photoswitchable Molecular Rings for Solar-Thermal Energy StorageE Durgun, Jeffrey C Grossman
Physical Review Letters|April 26, 2018
Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material PropertiesTian Xie, Jeffrey C Grossman
The Journal of Chemical Physics|November 10, 2018
Hierarchical visualization of materials space with graph convolutional neural networksTian Xie, Jeffrey C Grossman
Nano Letters|August 14, 2008
Prediction of ultra-high aspect ratio nanowires from self-assemblyZhigang Wu, Jeffrey C Grossman
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 31, 2017
Graphene Nanoribbon Based Thermoelectrics: Controllable Self- Doping and Long-Range DisorderHuashan Li, Jeffrey C Grossman
ACS Applied Materials & Interfaces|September 10, 2016
Conformal Electroplating of Azobenzene-Based Solar Thermal Fuels onto Large-Area and Fiber GeometriesDavid Zhitomirsky, Jeffrey C Grossman
Nano Letters|June 6, 2007
Insights on interfacial charge transfer across P3HT/fullerene photovoltaic heterojunction from Ab initio calculationsYosuke Kanai, Jeffrey C Grossman
Physical Review Letters|March 24, 2005
Efficient quantum monte carlo energies for molecular dynamics simulationsJeffrey C Grossman, Lubos Mitas
Nano Letters|February 23, 2008
Role of semiconducting and metallic tubes in P3HT/carbon-nanotube photovoltaic heterojunctions: density functional theory calculationsYosuke Kanai, Jeffrey C Grossman
Nano Letters|November 6, 2014
Accelerating the design of solar thermal fuel materials through high throughput simulationsYun Liu, Jeffrey C Grossman
Pageof 16