PEPR project
Accelerated exploration of a chemical system to discover new materials for photovoltaics and low-energy lighting.
Dates:
Start 2022
Project coordinator:
Romain GAUTIER, IMN, MIOPS team
Traditional methods of discovering new materials are often time-consuming and repetitive. Recent advances in the application of off-the-shelf optimization algorithms within closed synthesis-characterization-prediction cycles have accelerated the discovery process. However, the chemical systems studied are predefined by the scientists and must be limited to a low dimension. Thus, machine learning methods, commonly used today in closed loops, are suitable for optimization but not for the discovery of exceptional new materials, as these optimization algorithms do not “think outside the box” created by scientists and, for this reason, cannot make revolutionary discoveries.
