No Cover Image

Journal article 161 views

Heat transport exploration through the GaN/diamond interfaces using machine learning potential

Zhanpeng Sun, Yunfei Song, Zijun Qi, Xiang Sun, Meiyong Liao, Rui Li, Qijun Wang Orcid Logo, Lijie Li Orcid Logo, Gai Wu Orcid Logo, Wei Shen, Sheng Liu

International Journal of Heat and Mass Transfer, Volume: 241, Start page: 126724

Swansea University Author: Lijie Li Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1016/j.ijheatmasstransfer.2025.126724

Published in: International Journal of Heat and Mass Transfer
ISSN: 0017-9310
Published: Elsevier BV 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa70617
first_indexed 2025-10-09T08:28:40Z
last_indexed 2025-12-13T05:30:01Z
id cronfa70617
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-12-12T13:10:44.6613292</datestamp><bib-version>v2</bib-version><id>70617</id><entry>2025-10-09</entry><title>Heat transport exploration through the GaN/diamond interfaces using machine learning potential</title><swanseaauthors><author><sid>ed2c658b77679a28e4c1dcf95af06bd6</sid><ORCID>0000-0003-4630-7692</ORCID><firstname>Lijie</firstname><surname>Li</surname><name>Lijie Li</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-10-09</date><deptcode>ACEM</deptcode><abstract/><type>Journal Article</type><journal>International Journal of Heat and Mass Transfer</journal><volume>241</volume><journalNumber/><paginationStart>126724</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0017-9310</issnPrint><issnElectronic/><keywords>GaN/diamond heterostructures; Machine learning potential; Molecular dynamics; Thermal boundary resistance</keywords><publishedDay>15</publishedDay><publishedMonth>5</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-05-15</publishedDate><doi>10.1016/j.ijheatmasstransfer.2025.126724</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><funders>This work was funded by the Knowledge Innovation Program of Wuhan-Shuguang (Grant Nos. 2023010201020243, 2023010201020255), the National Natural Science Foundation of China (Grant Nos. 52202045, 62004141, 92473102), the Shenzhen Science and Technology Program (Grant No. JCYJ20240813175906008), the Fundamental Research Funds for the Central Universities (Grant Nos. 2042023kf0112, 2042022kf1028), the Open Fund of Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration (Wuhan University) (Grant Nos. EMPI2024014, EMPI2024021, EMPI2023027), and the China Scholarship Council (Grant No. 202206275005).</funders><projectreference/><lastEdited>2025-12-12T13:10:44.6613292</lastEdited><Created>2025-10-09T09:25:28.4160794</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering</level></path><authors><author><firstname>Zhanpeng</firstname><surname>Sun</surname><order>1</order></author><author><firstname>Yunfei</firstname><surname>Song</surname><order>2</order></author><author><firstname>Zijun</firstname><surname>Qi</surname><order>3</order></author><author><firstname>Xiang</firstname><surname>Sun</surname><order>4</order></author><author><firstname>Meiyong</firstname><surname>Liao</surname><order>5</order></author><author><firstname>Rui</firstname><surname>Li</surname><order>6</order></author><author><firstname>Qijun</firstname><surname>Wang</surname><orcid>0000-0002-4299-3798</orcid><order>7</order></author><author><firstname>Lijie</firstname><surname>Li</surname><orcid>0000-0003-4630-7692</orcid><order>8</order></author><author><firstname>Gai</firstname><surname>Wu</surname><orcid>0000-0002-9726-6328</orcid><order>9</order></author><author><firstname>Wei</firstname><surname>Shen</surname><order>10</order></author><author><firstname>Sheng</firstname><surname>Liu</surname><order>11</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2025-12-12T13:10:44.6613292 v2 70617 2025-10-09 Heat transport exploration through the GaN/diamond interfaces using machine learning potential ed2c658b77679a28e4c1dcf95af06bd6 0000-0003-4630-7692 Lijie Li Lijie Li true false 2025-10-09 ACEM Journal Article International Journal of Heat and Mass Transfer 241 126724 Elsevier BV 0017-9310 GaN/diamond heterostructures; Machine learning potential; Molecular dynamics; Thermal boundary resistance 15 5 2025 2025-05-15 10.1016/j.ijheatmasstransfer.2025.126724 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University Not Required This work was funded by the Knowledge Innovation Program of Wuhan-Shuguang (Grant Nos. 2023010201020243, 2023010201020255), the National Natural Science Foundation of China (Grant Nos. 52202045, 62004141, 92473102), the Shenzhen Science and Technology Program (Grant No. JCYJ20240813175906008), the Fundamental Research Funds for the Central Universities (Grant Nos. 2042023kf0112, 2042022kf1028), the Open Fund of Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration (Wuhan University) (Grant Nos. EMPI2024014, EMPI2024021, EMPI2023027), and the China Scholarship Council (Grant No. 202206275005). 2025-12-12T13:10:44.6613292 2025-10-09T09:25:28.4160794 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Zhanpeng Sun 1 Yunfei Song 2 Zijun Qi 3 Xiang Sun 4 Meiyong Liao 5 Rui Li 6 Qijun Wang 0000-0002-4299-3798 7 Lijie Li 0000-0003-4630-7692 8 Gai Wu 0000-0002-9726-6328 9 Wei Shen 10 Sheng Liu 11
title Heat transport exploration through the GaN/diamond interfaces using machine learning potential
spellingShingle Heat transport exploration through the GaN/diamond interfaces using machine learning potential
Lijie Li
title_short Heat transport exploration through the GaN/diamond interfaces using machine learning potential
title_full Heat transport exploration through the GaN/diamond interfaces using machine learning potential
title_fullStr Heat transport exploration through the GaN/diamond interfaces using machine learning potential
title_full_unstemmed Heat transport exploration through the GaN/diamond interfaces using machine learning potential
title_sort Heat transport exploration through the GaN/diamond interfaces using machine learning potential
author_id_str_mv ed2c658b77679a28e4c1dcf95af06bd6
author_id_fullname_str_mv ed2c658b77679a28e4c1dcf95af06bd6_***_Lijie Li
author Lijie Li
author2 Zhanpeng Sun
Yunfei Song
Zijun Qi
Xiang Sun
Meiyong Liao
Rui Li
Qijun Wang
Lijie Li
Gai Wu
Wei Shen
Sheng Liu
format Journal article
container_title International Journal of Heat and Mass Transfer
container_volume 241
container_start_page 126724
publishDate 2025
institution Swansea University
issn 0017-9310
doi_str_mv 10.1016/j.ijheatmasstransfer.2025.126724
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 0
active_str 0
published_date 2025-05-15T05:31:54Z
_version_ 1856805708072222720
score 11.09611

Similar Items