Clyde Fare

MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery

AI-driven materials discovery is evolving rapidly with new approaches and pipelines for experimentation and design. However, the pipelines are often designed in isolation. We introduce a modular reinforcement learning framework for inter-operable experimentation and design of tailored, novel molecul…