SELFIES: A 100% robust molecular string representation for Machine Learning in Chemistry, M. Krenn
"SELFIES: A 100% robust molecular string representation for Machine Learning in Chemistry" by Mario Krenn (https://mariokrenn.wordpress.com/)
in Scientific Machine Learning Webinar Series at Carnegie Mellon University, 04.March 2021 (https://www.cmu.edu/aced/sciML.html).
Organized by Dilip Krishnamurthy and Venkat Viswanathan, Chair: Rafael Gómez-Bombarelli
Paper: https://iopscience.iop.org/article/10.1088/2632-2153/aba947
GitHub: https://github.com/aspuru-guzik-group/selfies
Blog: https://aspuru.substack.com/p/molecular-graph-representations-and
Deep Molecular Dreaming: https://arxiv.org/abs/2012.09712
Видео SELFIES: A 100% robust molecular string representation for Machine Learning in Chemistry, M. Krenn канала Mario Krenn
in Scientific Machine Learning Webinar Series at Carnegie Mellon University, 04.March 2021 (https://www.cmu.edu/aced/sciML.html).
Organized by Dilip Krishnamurthy and Venkat Viswanathan, Chair: Rafael Gómez-Bombarelli
Paper: https://iopscience.iop.org/article/10.1088/2632-2153/aba947
GitHub: https://github.com/aspuru-guzik-group/selfies
Blog: https://aspuru.substack.com/p/molecular-graph-representations-and
Deep Molecular Dreaming: https://arxiv.org/abs/2012.09712
Видео SELFIES: A 100% robust molecular string representation for Machine Learning in Chemistry, M. Krenn канала Mario Krenn
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