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Irene Yarovsky

Showing results (31-40 of 104) with videos related to

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The Journal of Physical Chemistry. B|August 14, 2008
Systematic comparison of empirical forcefields for molecular dynamic simulation of insulinNevena Todorova, F Sue Legge, Herbert Treutlein, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|August 21, 2014
Nanoscale wetting and fouling resistance of functionalized surfaces: a computational approachGeorge Yiapanis, Shane Maclaughlin, Evan J Evans, et al.
The Journal of Physical Chemistry. B|June 10, 2008
Comparative study of insulin chain-B in isolated and monomeric environments under external stressAkin Budi, F Sue Legge, Herbert Treutlein, et al.
The Journal of Physical Chemistry. B|September 29, 2006
Density functional theory study of hydrogen bonding in ionic molecular materialsNicole A Benedek, Kay Latham, Ian K Snook, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 10, 2011
Comparison of embedded atom method potentials for small aluminium cluster simulationsAkin Budi, David J Henry, Julian D Gale, et al.
The Journal of Physical Chemistry. B|March 23, 2011
Comparative study of commonly used molecular dynamics force fields for modeling organic monolayers on waterMichael B Plazzer, David J Henry, George Yiapanis, et al.
The Journal of Chemical Physics|November 23, 2017
Long-range dipolar order and dispersion forces in polar liquidsQuinn Alexander Besford, Andrew Joseph Christofferson, Maoyuan Liu, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 21, 2012
Surface defects on ZnO nanowires: implications for design of sensorsMichelle J S Spencer, Kester W J Wong, Irene Yarovsky
The Journal of Chemical Physics|July 23, 2004
"Exact" surface free energies of iron surfaces using a modified embedded atom method potential and lambda integrationGregory Grochola, Salvy P Russo, Irene Yarovsky, et al.
Scientific Reports|January 24, 2019
Quantitative design rules for protein-resistant surface coatings using machine learningTu C Le, Matthew Penna, David A Winkler, et al.
Pageof 11

Showing results (31-40 of 104) with videos related to

Sort By:
Pageof 11
The Journal of Physical Chemistry. B|August 14, 2008
Systematic comparison of empirical forcefields for molecular dynamic simulation of insulinNevena Todorova, F Sue Legge, Herbert Treutlein, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|August 21, 2014
Nanoscale wetting and fouling resistance of functionalized surfaces: a computational approachGeorge Yiapanis, Shane Maclaughlin, Evan J Evans, et al.
The Journal of Physical Chemistry. B|June 10, 2008
Comparative study of insulin chain-B in isolated and monomeric environments under external stressAkin Budi, F Sue Legge, Herbert Treutlein, et al.
The Journal of Physical Chemistry. B|September 29, 2006
Density functional theory study of hydrogen bonding in ionic molecular materialsNicole A Benedek, Kay Latham, Ian K Snook, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 10, 2011
Comparison of embedded atom method potentials for small aluminium cluster simulationsAkin Budi, David J Henry, Julian D Gale, et al.
The Journal of Physical Chemistry. B|March 23, 2011
Comparative study of commonly used molecular dynamics force fields for modeling organic monolayers on waterMichael B Plazzer, David J Henry, George Yiapanis, et al.
The Journal of Chemical Physics|November 23, 2017
Long-range dipolar order and dispersion forces in polar liquidsQuinn Alexander Besford, Andrew Joseph Christofferson, Maoyuan Liu, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 21, 2012
Surface defects on ZnO nanowires: implications for design of sensorsMichelle J S Spencer, Kester W J Wong, Irene Yarovsky
The Journal of Chemical Physics|July 23, 2004
"Exact" surface free energies of iron surfaces using a modified embedded atom method potential and lambda integrationGregory Grochola, Salvy P Russo, Irene Yarovsky, et al.
Scientific Reports|January 24, 2019
Quantitative design rules for protein-resistant surface coatings using machine learningTu C Le, Matthew Penna, David A Winkler, et al.
Pageof 11