Loading…

Accurate description of high-order phonon anharmonicity and lattice thermal conductivity from molecular dynamics simulations with machine learning potential

Saved in:
Bibliographic Details
Published in:Physical review. B 2022-03, Vol.105 (11), Article 115202
Main Authors: Ouyang, Yulou, Yu, Cuiqian, He, Jia, Jiang, Pengfei, Ren, Weijun, Chen, Jie
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c299t-7604391b5f96c9d0d55d2782b05536d4763e0d13b4938b3ba95f066ee2ba700e3
cites cdi_FETCH-LOGICAL-c299t-7604391b5f96c9d0d55d2782b05536d4763e0d13b4938b3ba95f066ee2ba700e3
container_end_page
container_issue 11
container_start_page
container_title Physical review. B
container_volume 105
creator Ouyang, Yulou
Yu, Cuiqian
He, Jia
Jiang, Pengfei
Ren, Weijun
Chen, Jie
description
doi_str_mv 10.1103/PhysRevB.105.115202
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1103_PhysRevB_105_115202</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1103_PhysRevB_105_115202</sourcerecordid><originalsourceid>FETCH-LOGICAL-c299t-7604391b5f96c9d0d55d2782b05536d4763e0d13b4938b3ba95f066ee2ba700e3</originalsourceid><addsrcrecordid>eNo9kN9KwzAUh4MoOHRP4E1eoPO0adLlcg7_wUARvS5pki6RJhlJNum7-LB2TL0653wcfj_4ELopYVGWQG5fzZje9OFuUQKdCK2gOkOzqma84Jzx8_-dwiWap_QJACUD3gCfoe-VlPsossZKJxntLtvgceixsVtThKh0xDsT_ASFNyK64K20eZwuhQeRs5UaZ6OjEwOWwau9zPZwfOhjcNiFQcv9ICJWoxfOyoSTdRM41iT8ZbPBTkhjvcaDFtFbv8W7kLXPVgzX6KIXQ9Lz33mFPh7u39dPxebl8Xm92hSy4jwXDYOa8LKjPWeSK1CUqqpZVh1QSpiqG0Y0qJJ0NSfLjnSC0x4Y07rqRAOgyRUip1wZQ0pR9-0uWifi2JbQHh23f44nQNuTY_IDfdV2Yw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Accurate description of high-order phonon anharmonicity and lattice thermal conductivity from molecular dynamics simulations with machine learning potential</title><source>American Physical Society:Jisc Collections:APS Read and Publish 2023-2025 (reading list)</source><creator>Ouyang, Yulou ; Yu, Cuiqian ; He, Jia ; Jiang, Pengfei ; Ren, Weijun ; Chen, Jie</creator><creatorcontrib>Ouyang, Yulou ; Yu, Cuiqian ; He, Jia ; Jiang, Pengfei ; Ren, Weijun ; Chen, Jie</creatorcontrib><identifier>ISSN: 2469-9950</identifier><identifier>EISSN: 2469-9969</identifier><identifier>DOI: 10.1103/PhysRevB.105.115202</identifier><language>eng</language><ispartof>Physical review. B, 2022-03, Vol.105 (11), Article 115202</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c299t-7604391b5f96c9d0d55d2782b05536d4763e0d13b4938b3ba95f066ee2ba700e3</citedby><cites>FETCH-LOGICAL-c299t-7604391b5f96c9d0d55d2782b05536d4763e0d13b4938b3ba95f066ee2ba700e3</cites><orcidid>0000-0003-4599-3600 ; 0000-0002-9867-4817</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ouyang, Yulou</creatorcontrib><creatorcontrib>Yu, Cuiqian</creatorcontrib><creatorcontrib>He, Jia</creatorcontrib><creatorcontrib>Jiang, Pengfei</creatorcontrib><creatorcontrib>Ren, Weijun</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><title>Accurate description of high-order phonon anharmonicity and lattice thermal conductivity from molecular dynamics simulations with machine learning potential</title><title>Physical review. B</title><issn>2469-9950</issn><issn>2469-9969</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNo9kN9KwzAUh4MoOHRP4E1eoPO0adLlcg7_wUARvS5pki6RJhlJNum7-LB2TL0653wcfj_4ELopYVGWQG5fzZje9OFuUQKdCK2gOkOzqma84Jzx8_-dwiWap_QJACUD3gCfoe-VlPsossZKJxntLtvgceixsVtThKh0xDsT_ASFNyK64K20eZwuhQeRs5UaZ6OjEwOWwau9zPZwfOhjcNiFQcv9ICJWoxfOyoSTdRM41iT8ZbPBTkhjvcaDFtFbv8W7kLXPVgzX6KIXQ9Lz33mFPh7u39dPxebl8Xm92hSy4jwXDYOa8LKjPWeSK1CUqqpZVh1QSpiqG0Y0qJJ0NSfLjnSC0x4Y07rqRAOgyRUip1wZQ0pR9-0uWifi2JbQHh23f44nQNuTY_IDfdV2Yw</recordid><startdate>20220315</startdate><enddate>20220315</enddate><creator>Ouyang, Yulou</creator><creator>Yu, Cuiqian</creator><creator>He, Jia</creator><creator>Jiang, Pengfei</creator><creator>Ren, Weijun</creator><creator>Chen, Jie</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-4599-3600</orcidid><orcidid>https://orcid.org/0000-0002-9867-4817</orcidid></search><sort><creationdate>20220315</creationdate><title>Accurate description of high-order phonon anharmonicity and lattice thermal conductivity from molecular dynamics simulations with machine learning potential</title><author>Ouyang, Yulou ; Yu, Cuiqian ; He, Jia ; Jiang, Pengfei ; Ren, Weijun ; Chen, Jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c299t-7604391b5f96c9d0d55d2782b05536d4763e0d13b4938b3ba95f066ee2ba700e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ouyang, Yulou</creatorcontrib><creatorcontrib>Yu, Cuiqian</creatorcontrib><creatorcontrib>He, Jia</creatorcontrib><creatorcontrib>Jiang, Pengfei</creatorcontrib><creatorcontrib>Ren, Weijun</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><collection>CrossRef</collection><jtitle>Physical review. B</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ouyang, Yulou</au><au>Yu, Cuiqian</au><au>He, Jia</au><au>Jiang, Pengfei</au><au>Ren, Weijun</au><au>Chen, Jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accurate description of high-order phonon anharmonicity and lattice thermal conductivity from molecular dynamics simulations with machine learning potential</atitle><jtitle>Physical review. B</jtitle><date>2022-03-15</date><risdate>2022</risdate><volume>105</volume><issue>11</issue><artnum>115202</artnum><issn>2469-9950</issn><eissn>2469-9969</eissn><doi>10.1103/PhysRevB.105.115202</doi><orcidid>https://orcid.org/0000-0003-4599-3600</orcidid><orcidid>https://orcid.org/0000-0002-9867-4817</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2469-9950
ispartof Physical review. B, 2022-03, Vol.105 (11), Article 115202
issn 2469-9950
2469-9969
language eng
recordid cdi_crossref_primary_10_1103_PhysRevB_105_115202
source American Physical Society:Jisc Collections:APS Read and Publish 2023-2025 (reading list)
title Accurate description of high-order phonon anharmonicity and lattice thermal conductivity from molecular dynamics simulations with machine learning potential
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T20%3A51%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accurate%20description%20of%20high-order%20phonon%20anharmonicity%20and%20lattice%20thermal%20conductivity%20from%20molecular%20dynamics%20simulations%20with%20machine%20learning%20potential&rft.jtitle=Physical%20review.%20B&rft.au=Ouyang,%20Yulou&rft.date=2022-03-15&rft.volume=105&rft.issue=11&rft.artnum=115202&rft.issn=2469-9950&rft.eissn=2469-9969&rft_id=info:doi/10.1103/PhysRevB.105.115202&rft_dat=%3Ccrossref%3E10_1103_PhysRevB_105_115202%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c299t-7604391b5f96c9d0d55d2782b05536d4763e0d13b4938b3ba95f066ee2ba700e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true