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H

Hossein Tahmasbi

center for advanced systems understanding (casus)

7H指数
19论文数
214被引数
收录论文 6
发表时间
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Benchmarking universal machine learning interatomic potentials on elemental systems在元素体系中对通用机器学习原子间势能进行基准测试
errnpj Computational Materials
IF11.9
err2026-07-28
err0
errOAAI
errHossein Tahmasbi; Andreas Knüpfer; Thomas D. Kühne; Hossein Mirhosseini
err分享
err收藏
Machine learning-driven structure prediction for iron hydrides
errPHYSICAL REVIEW MATERIALS
IF3.4
err2024-03-21
err1
errOAAI
errTahmasbi, Hossein; Ramakrishna, Kushal; Lokamani, Mani; Cangi, Attila
err分享
err收藏
An automated approach for developing neural network interatomic potentials with FLAME用火焰开发神经网络原子间势的自动方法
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2021-09-01
err9
errOAAI
errMirhosseini, Hossein; Tahmasbi, Hossein; Kuchana, Sai Ram; Ghasemi, S. Alireza; Kuehne, Thomas D.
err分享
err收藏
Large-scale structure prediction of near-stoichiometric magnesium oxide based on a machine-learned interatomic potential: Crystalline phases and oxygen-vacancy ordering
errPHYSICAL REVIEW MATERIALS
IF3.4
err2021-08-30
err8
errOAAI
errTahmasbi, Hossein; Goedecker, Stefan; Ghasemi, S. Alireza
err分享
err收藏
FLAME: A library of atomistic modeling environments
errCOMPUTER PHYSICS COMMUNICATIONS
IF3.4
err2020-11-01
err26
errOAAI
errAmsler, Maximilian; Rostami, Samare; Tahmasbi, Hossein; Khajehpasha, Ehsan Rahmatizad; Faraji, Somayeh; Rasoulkhani, Robabe; Ghasemi, S. Alireza
err分享
err收藏
Energy landscape of ZnO clusters and low-density polymorphs
errPHYSICAL REVIEW B
IF3.7
err2017-08-14
err30
errOAAI
errRasoulkhani, Robabe; Tahmasbi, Hossein; Ghasemi, S. Alireza; Faraji, Somayeh; Rostami, Samare; Amsler, Maximilian
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
S
Stefan Goedecker
H 指数: 61 · 论文数: 273
T
Thomas D. Kühne
H 指数: 49 · 论文数: 373
M
Maximilian Amsler
H 指数: 33 · 论文数: 112
H
Hossein Mirhosseini
H 指数: 23 · 论文数: 86
A
Attila Cangi
H 指数: 20 · 论文数: 146
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