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Isaac Tamblyn

Showing results (11-20 of 31) with videos related to

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Journal of Chemical Theory and Computation|November 1, 2022
Machine Learning Diffusion Monte Carlo EnergiesKevin Ryczko, Jaron T Krogel, Isaac Tamblyn
Physical Review Letters|September 4, 2008
Tetrahedral clustering in molten lithium under pressureIsaac Tamblyn, Jean-Yves Raty, Stanimir A Bonev
Physical Review Letters|October 1, 2021
Dynamical Large Deviations of Two-Dimensional Kinetically Constrained Models Using a Neural-Network State AnsatzCorneel Casert, Tom Vieijra, Stephen Whitelam, et al.
The Journal of Chemical Physics|November 4, 2011
Electronic level alignment at a metal-molecule interface from a short-range hybrid functionalAriel Biller, Isaac Tamblyn, Jeffrey B Neaton, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|July 17, 2024
Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approachOlivier Malenfant-Thuot, Kevin Ryczko, Isaac Tamblyn, et al.
The Journal of Physical Chemistry Letters|August 19, 2015
Theory of Covalent Adsorbate Frontier Orbital Energies on Functionalized Light-Absorbing Semiconductor SurfacesMin Yu, Peter Doak, Isaac Tamblyn, et al.
Nature Communications|November 3, 2021
Correspondence between neuroevolution and gradient descentStephen Whitelam, Viktor Selin, Sang-Won Park, et al.
Physical Review Letters|April 4, 2015
Emergent rhombus tilings from molecular interactions with M-fold rotational symmetryStephen Whitelam, Isaac Tamblyn, Juan P Garrahan, et al.
Physical Review Letters|March 10, 2012
Random and ordered phases of off-lattice rhombus tilesStephen Whitelam, Isaac Tamblyn, Peter H Beton, et al.
Physical Chemistry Chemical Physics : PCCP|July 13, 2023
Themed collection on Insightful Machine Learning for Physical ChemistryAurora E Clark, Pavlo O Dral, Isaac Tamblyn, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Journal of Chemical Theory and Computation|November 1, 2022
Machine Learning Diffusion Monte Carlo EnergiesKevin Ryczko, Jaron T Krogel, Isaac Tamblyn
Physical Review Letters|September 4, 2008
Tetrahedral clustering in molten lithium under pressureIsaac Tamblyn, Jean-Yves Raty, Stanimir A Bonev
Physical Review Letters|October 1, 2021
Dynamical Large Deviations of Two-Dimensional Kinetically Constrained Models Using a Neural-Network State AnsatzCorneel Casert, Tom Vieijra, Stephen Whitelam, et al.
The Journal of Chemical Physics|November 4, 2011
Electronic level alignment at a metal-molecule interface from a short-range hybrid functionalAriel Biller, Isaac Tamblyn, Jeffrey B Neaton, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|July 17, 2024
Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approachOlivier Malenfant-Thuot, Kevin Ryczko, Isaac Tamblyn, et al.
The Journal of Physical Chemistry Letters|August 19, 2015
Theory of Covalent Adsorbate Frontier Orbital Energies on Functionalized Light-Absorbing Semiconductor SurfacesMin Yu, Peter Doak, Isaac Tamblyn, et al.
Nature Communications|November 3, 2021
Correspondence between neuroevolution and gradient descentStephen Whitelam, Viktor Selin, Sang-Won Park, et al.
Physical Review Letters|April 4, 2015
Emergent rhombus tilings from molecular interactions with M-fold rotational symmetryStephen Whitelam, Isaac Tamblyn, Juan P Garrahan, et al.
Physical Review Letters|March 10, 2012
Random and ordered phases of off-lattice rhombus tilesStephen Whitelam, Isaac Tamblyn, Peter H Beton, et al.
Physical Chemistry Chemical Physics : PCCP|July 13, 2023
Themed collection on Insightful Machine Learning for Physical ChemistryAurora E Clark, Pavlo O Dral, Isaac Tamblyn, et al.
Pageof 4