Machine learning methods for chemical and material discovery
Sékou-Oumar Kaba
Mila - Institut Québécois d'Intelligence Artificielle
The presentation will be given in English.
Videoconference: Zoom #: 930 2643 2919 (link)
Lorsque demandé, indiquer 'un trois sept' en chiffre.
Machine learning methods are taking a growing place in scientific research. Chemical and material discovery are examples of fields in which they have seen a recent surge in popularity. Current large scale projects in this line of research include for example the search for a cure to COVID-19 or efficient materials for solar cells.
In this talk, I will aim to give a friendly introduction to some popular machine learning methods used in chemistry and material science. This will include 'classical' machine learning and deep learning. I will also talk about the so-called generative methods that could prove useful in discovery applications.
