Viscosity of liquid gallium: Neural network potential molecular dynamics and experimental study

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Viscosity of liquid gallium: Neural network potential molecular dynamics and experimental study. / Balyakin, I. A.; Yuryev, A. A.; Filippov, V. V. et al.
In: Computational Materials Science, Vol. 215, 111802, 12.2022.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{604e60ce4bee48719d982c071ecc2019,

title = "Viscosity of liquid gallium: Neural network potential molecular dynamics and experimental study",

keywords = "Ab initio molecular dynamics, DeePMD-potential, Liquid gallium, Structure, Viscosity",

author = "Balyakin, {I. A.} and Yuryev, {A. A.} and Filippov, {V. V.} and Gelchinski, {B. R.}",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2022",

month = dec,

doi = "10.1016/j.commatsci.2022.111802",

language = "English",

volume = "215",

journal = "Computational Materials Science",

issn = "0927-0256",

publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Viscosity of liquid gallium: Neural network potential molecular dynamics and experimental study

AU - Balyakin, I. A.

AU - Yuryev, A. A.

AU - Filippov, V. V.

AU - Gelchinski, B. R.

PY - 2022/12

Y1 - 2022/12

KW - Ab initio molecular dynamics

KW - DeePMD-potential

KW - Liquid gallium

KW - Structure

KW - Viscosity

UR - http://www.scopus.com/inward/record.url?scp=85138483978&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000870259700004

U2 - 10.1016/j.commatsci.2022.111802

DO - 10.1016/j.commatsci.2022.111802

M3 - Article

AN - SCOPUS:85138483978

VL - 215

JO - Computational Materials Science

JF - Computational Materials Science

SN - 0927-0256

M1 - 111802

ER -

ID: 30979591