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pro vyhledávání: '"van Hoesel, Clint"'
Autor:
Reiser, Patrick, Neubert, Marlen, Eberhard, André, Torresi, Luca, Zhou, Chen, Shao, Chen, Metni, Houssam, van Hoesel, Clint, Schopmans, Henrik, Sommer, Timo, Friederich, Pascal
Machine learning plays an increasingly important role in many areas of chemistry and materials science, e.g. to predict materials properties, to accelerate simulations, to design new materials, and to predict synthesis routes of new materials. Graph
Externí odkaz:
http://arxiv.org/abs/2208.09481
Autor:
Chew, Alex K.1 (AUTHOR), Sender, Matthew2 (AUTHOR), Kaplan, Zachary1 (AUTHOR), Chandrasekaran, Anand1 (AUTHOR), Chief Elk, Jackson2 (AUTHOR), Browning, Andrea R.2 (AUTHOR), Kwak, H. Shaun2 (AUTHOR), Halls, Mathew D.3 (AUTHOR), Afzal, Mohammad Atif Faiz2 (AUTHOR) atif.afzal@schrodinger.com
Publikováno v:
Journal of Cheminformatics. 3/14/2024, Vol. 16 Issue 1, p1-14. 14p.
