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pro vyhledávání: '"Pattamatta, A. S. L. Subrahmanyam"'
Autor:
Li, Zhuoyuan, Wen, Tongqi, Zhang, Yuzhi, Liu, Xinzijian, Zhang, Chengqian, Pattamatta, A. S. L. Subrahmanyam, Gong, Xiaoguo, Ye, Beilin, Wang, Han, Zhang, Linfeng, Srolovitz, David J.
The ability to rapidly evaluate materials properties through atomistic simulation approaches is the foundation of many new artificial intelligence-based approaches to materials identification and design. This depends on the availability of accurate d
Externí odkaz:
http://arxiv.org/abs/2404.17330
Large language models (LLMs) have demonstrated rapid progress across a wide array of domains. Owing to the very large number of parameters and training data in LLMs, these models inherently encompass an expansive and comprehensive materials knowledge
Externí odkaz:
http://arxiv.org/abs/2401.17788
Autor:
Gong, Xiaoguo, Li, Zhuoyuan, Pattamatta, A. S. L. Subrahmanyam, Wen, Tongqi, Srolovitz, David J.
Nickel (Ni) is a magnetic transition metal with two allotropic phases, stable face-centered cubic (FCC) and metastable hexagonal close-packed (HCP), widely used in structural applications. Magnetism affects many mechanical and defect properties, but
Externí odkaz:
http://arxiv.org/abs/2312.17596
Akademický článek
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Akademický článek
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Autor:
Wang Z; Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR 999077, China., Pattamatta ASLS; Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China., Han J; Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong SAR 999077, China., Srolovitz DJ; Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China.; Greater Bay Joint Division, Shenyang National Laboratory for Materials Science, Hong Kong SAR 999077, China.
Publikováno v:
PNAS nexus [PNAS Nexus] 2024 Mar 18; Vol. 3 (4), pp. pgae117. Date of Electronic Publication: 2024 Mar 18 (Print Publication: 2024).