This machine learning-based experimental design method, which can successfully predict the peak performance of organic thermoelectric devices while minimizing repeated experiments, is expected to ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...