Recently, autonomous material search methods combining machine learning and experiments/simulations have become indispensable for explori...

Autonomous material search systems that combine ab initio calculations and Bayesian optimization are very promising for exploring huge ma...

We implemented an active learning pipeline assisted by machine learning and Bayesian optimization (ALMLBO) for predicting magnetic proper...

Machine learning is emerging as a powerful tool for the discovery of novel high-performance functional materials. However, experimental d...

In materials design and discovery processes, optimal experimental design (OED) algorithms are getting more popular. OED is often modeled ...