In the scope of "AI for Science", solving inverse problems is a longstan...
Data-driven machine learning methods have the potential to dramatically
...
Bayesian experimental design (BED) aims at designing an experiment to
ma...
Bayesian experimental design (BED) is to answer the question that how to...
Topology optimization (TO) is a popular and powerful computational appro...
High entropy alloys (HEAs) have been increasingly attractive as promisin...