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pro vyhledávání: '"Li, Conrad"'
In this paper, we present a novel reinforcement learning framework designed to optimize molecular dynamics by focusing on the entire trajectory rather than just the final molecular configuration. Leveraging a stochastic version of Pontryagin's Maximu
Externí odkaz:
http://arxiv.org/abs/2212.03320
Autor:
Hsieh, Ju-Chun, He, Weilong, Venkatraghavan, Dhivya, Koptelova, Victoria B., Ahmad, Zoya J., Pyatnitskiy, Ilya, Wang, Wenliang, Jeong, Jinmo, Tang, Kevin Kai Wing, Harmeier, Cody, Li, Conrad, Rana, Manini, Iyer, Sruti, Nayak, Eesha, Ding, Hong, Modur, Pradeep, Mysliwiec, Vincent, Schnyer, David M., Baird, Benjamin, Wang, Huiliang
Publikováno v:
In Device 16 February 2024 2(2)
Protein structure prediction is a fundamental problem in computational molecular biology. Classical algorithms such as ab-initio or threading as well as many learning methods have been proposed to solve this challenging problem. However, most reinfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a384d50103e07fab63152d73e18052a
http://arxiv.org/abs/2212.03320
http://arxiv.org/abs/2212.03320
Akademický článek
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Autor:
Conrad LI; Wellcome Institute.
Publikováno v:
Medical history [Med Hist] 1994 Jan; Vol. 38 (1), pp. 105-6.
Autor:
Conrad LI
Publikováno v:
The Society for the Social History of Medicine bulletin [Soc Soc Hist Med Bull (Lond)] 1985 Dec; Vol. 37, pp. 11-5.