- Staff Scientist, Energy Storage & Distributed Resources, LBNL
Anubhav Jain leads a research group studying new materials design using a mix of theory, computing, and artificial intelligence. Jain develops, evaluates, and applies models for predicting materials properties to applications such as electrocatalysis, thermoelectrics, solar photovoltaics, energy storage, and more. He is involved in robotic synthesis of new materials at LBNL's "A-lab", is the Associate Director of LBNL's Materials Project(link is external) initiative, and is part of the leadership team of DOE's Durable Module Materials consortium(link is external).
CONNECT:
Website(link is external), Twitter(link is external), GitHub(link is external), Google Scholar(link is external)
Deep Learning, Graph Neural Networks, Natural Language Processing, Interpretable Machine Learning, Materials Discovery and Design
