How do we model catalysts? | Open Catalyst Intro Series | Ep. 3

Why are catalysts important, what are they, and how do we model them computationally? We’ll answer all those questions in this video and how discovering new catalysts could have a meaningful impact on climate change.
This video series is aimed at machine learning and AI researchers interested in gaining a better understanding of how to explore machine learning problems in chemistry and material science.
Additional materials:
Intro paper on ML for renewable energy storage - An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage: arxiv.org/abs/2010.09435.
A book on the benefits of hydrogen for a green future: a.co/d/aq3KriJ
#opencatalyst #ai4science #climatechange

[@UsmanHaiderWahla]

Good explanation, are you guys working with Atomic Tessellator? This video reminds me of their catalyst workflow.

[@Heilinbogu]

Most importantly, when do we get the next video :)?