Neural network molecular dynamics simulations of solid-liquid interfaces: water at low-index copper surfaces.
about
Accurate Neural Network Description of Surface Phonons in Reactive Gas-Surface Dynamics: N2 + Ru(0001).First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems.Perspective: Machine learning potentials for atomistic simulations.Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods.High-dimensional neural network potentials for solvation: The case of protonated water clusters in helium.
P2860
Neural network molecular dynamics simulations of solid-liquid interfaces: water at low-index copper surfaces.
description
2016 nî lūn-bûn
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2016年の論文
@ja
2016年学术文章
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2016年学术文章
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2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
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2016年學術文章
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name
Neural network molecular dynam ...... at low-index copper surfaces.
@en
Neural network molecular dynam ...... at low-index copper surfaces.
@nl
type
label
Neural network molecular dynam ...... at low-index copper surfaces.
@en
Neural network molecular dynam ...... at low-index copper surfaces.
@nl
prefLabel
Neural network molecular dynam ...... at low-index copper surfaces.
@en
Neural network molecular dynam ...... at low-index copper surfaces.
@nl
P2860
P356
P1476
Neural network molecular dynam ...... r at low-index copper surfaces
@en
P2093
Jörg Behler
Suresh Kondati Natarajan
P2860
P304
28704-28725
P356
10.1039/C6CP05711J
P407
P577
2016-10-01T00:00:00Z