The development of a materials synthesis route is usually based on heuristics and experience. A possible new approach would be to apply data-driven approaches to learn the patterns of synthesis from ...

To close the gap between the rates of computational screening and experimental realization of novel materials 1,2, we introduce the A-Lab, an autonomous laboratory for the solid-state synthesis of ...

The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert ...