Autonomous exploration of materials design space is hindered by its high dimensionality and the scarcity of data. In this work, we present AlphaFlow, a self-driven lab guided by reinforcement learning that enables accelerated discovery and optimization of multi-step chemistries.
- Amanda A. Volk
- Robert W. Epps
- Milad Abolhasani
