Topics

Small data driven modeling for materials and chemical informatics: Sparse regression, Symbolic regression, Active learning, Physics-based AI. From recurrent neural networks and variational autoencoders to generative AI (diffusion and transformers); application to materials/chemical informatics and language models for literature harvesting.