Machine-learning and high-throughput studies for high-entropy materials

EW Huang, WJ Lee, SS Singh, P Kumar, CY Lee… - Materials Science and …, 2022 - Elsevier
The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …

Machine-learning and high-throughput studies for high-entropy materials

EW Huang, WJ Lee, SS Singh, P Kumar… - Materials Science and …, 2022 - par.nsf.gov
The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …

[引用][C] Machine-learning and high-throughput studies for high-entropy materials

EW Huang, WJ Lee, SS Singh, P Kumar… - Materials Science and …, 2022 - cir.nii.ac.jp
Machine-learning and high-throughput studies for high-entropy materials | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …

[PDF][PDF] Machine-Learning and High-Throughput Studies for High-Entropy Materials

EW Huang, WJ Lee, SS Singh, P Kumar, CY Lee… - researchgate.net
The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …

Machine-learning and high-throughput studies for high-entropy materials

EW Huang, WJ Lee, SS Singh, P Kumar… - … and Engineering R …, 2022 - scholar.nycu.edu.tw
The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …

[PDF][PDF] Machine-Learning and High-Throughput Studies for High-Entropy Materials

EW Huang, WJ Lee, SS Singh, P Kumar, CY Lee… - researchgate.net
The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …