Identifying novel functional materials either manually or by using algorithm-based analytics is a complex and resource demanding task. Here, the authors present an autonomous search system which combines Monte Carlo tree search and molecular dynamic simulations in order to successfully identify organic molecules based on their viscosity for use as industrial lubricants.
