Crossref journal-article
Royal Society of Chemistry (RSC)
Physical Chemistry Chemical Physics (292)
Abstract

Molecular dynamics simulation of the water–copper interface have been carried out using high-dimensional neural network potential based on density functional theory.

Bibliography

Natarajan, S. K., & Behler, J. (2016). Neural network molecular dynamics simulations of solid–liquid interfaces: water at low-index copper surfaces. Physical Chemistry Chemical Physics, 18(41), 28704–28725.

Authors 2
  1. Suresh Kondati Natarajan (first)
  2. Jörg Behler (additional)
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Dates
Type When
Created 8 years, 10 months ago (Sept. 30, 2016, 5:12 a.m.)
Deposited 1 year, 4 months ago (April 17, 2024, 6:15 p.m.)
Indexed 5 days, 19 hours ago (Aug. 23, 2025, 1:13 a.m.)
Issued 9 years, 7 months ago (Jan. 1, 2016)
Published 9 years, 7 months ago (Jan. 1, 2016)
Published Online 9 years, 7 months ago (Jan. 1, 2016)
Funders 1
  1. Deutsche Forschungsgemeinschaft 10.13039/501100001659

    Region: Europe

    gov (National government)

    Labels3
    1. German Research Association
    2. German Research Foundation
    3. DFG
    Awards3
    1. RESOLV (EXC 1069)
    2. Be3264/6-1
    3. Be3264/5-1

@article{Natarajan_2016, title={Neural network molecular dynamics simulations of solid–liquid interfaces: water at low-index copper surfaces}, volume={18}, ISSN={1463-9084}, url={http://dx.doi.org/10.1039/c6cp05711j}, DOI={10.1039/c6cp05711j}, number={41}, journal={Physical Chemistry Chemical Physics}, publisher={Royal Society of Chemistry (RSC)}, author={Natarajan, Suresh Kondati and Behler, Jörg}, year={2016}, pages={28704–28725} }