Digital Chemist: Reinforcement Learning for Inverse Molecular Design

19.03. | 11:45 - 12:15 | data.stage

Inverse molecular design is the process of optimizing a target molecule given a number of physical properties. Given the advent of modern reinforcement learning it is now possible to train agents to solve this tasks and supporting chemist in their daily work.

Speaker:

Immanuel Schweizer (Merck KGaA)