Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Haotong Liang"'
Autor:
Logan Saar, Haotong Liang, Alex Wang, Austin McDannald, Efrain Rodriguez, Ichiro Takeuchi, A. Gilad Kusne
Publikováno v:
MRS Bulletin. 47:881-885
Publikováno v:
Journal of Applied Crystallography. 55:882-889
The structural solution problem can be a daunting and time-consuming task. Especially in the presence of impurity phases, current methods, such as indexing, become more unstable. In this work, the novel approach of semi-supervised learning is applied
Autor:
Haotong Liang, Valentin Stanev, Aaron Gilad Kusne, Yuto Tsukahara, Kaito Ito, Ryota Takahashi, Mikk Lippmaa, Ichiro Takeuchi
Publikováno v:
Physical Review Materials. 6
Autonomous physical science is revolutionizing materials science. In these systems, machine learning (ML) controls experiment design, execution and analysis in a closed loop. Active learning, the ML field of optimal experiment design, selects each su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb769c772b859653dea0d1fbf1a11350
http://arxiv.org/abs/2204.05838
http://arxiv.org/abs/2204.05838
Publikováno v:
Applied Catalysis A: General. 644:118808
Structure is the most basic and important property of crystalline solids; it determines directly or indirectly most materials characteristics. However, predicting crystal structure of solids remains a formidable and not fully solved problem. Standard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e884626c5dbf55d4d7cd1845f509c21
http://arxiv.org/abs/2003.14328
http://arxiv.org/abs/2003.14328
Publikováno v:
Oxford Open Materials Science; 2022, Vol. 2 Issue 1, p1-6, 6p