Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Iman Peivaste"'
Autor:
Iman Peivaste, Saba Ramezani, Ghasem Alahyarizadeh, Reza Ghaderi, Ahmed Makradi, Salim Belouettar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This article introduces an innovative approach that utilizes machine learning (ML) to address the computational challenges of accurate atomistic simulations in materials science. Focusing on the field of molecular dynamics (MD), which offers
Externí odkaz:
https://doaj.org/article/03fd05adaf8a4663a430b56bc846c309
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-21 (2023)
Abstract High-entropy alloys (HEAs) represent a promising class of materials with exceptional structural and functional properties. However, their design and optimization pose challenges due to the large composition-phase space coupled with the compl
Externí odkaz:
https://doaj.org/article/7442309df69b41a9b502032b9f8d5c8a
Autor:
Iman Peivaste, Nima H. Siboni, Ghasem Alahyarizadeh, Reza Ghaderi, Bob Svendsen, Dierk Raabe, Jaber Rezaei Mianroodi
Publikováno v:
Computational Materials Science. 214:111750
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c261d9c9a974a5381d8f24fc12e458
https://doi.org/10.1016/j.commatsci.2022.111750
https://doi.org/10.1016/j.commatsci.2022.111750