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Anubhav Jain

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A Career at a U.S. National Lab: Perspective from a Mid-Career Scientist
byAnubhav Jain
 
Research opportunities in materials design using AI/ML
byAnubhav Jain
 
Accelerating materials discovery with big data and machine learning
byAnubhav Jain
 
Predicting the Synthesizability of Inorganic Materials: Convex Hulls, Literature Analysis, and Experimental Mapping
byAnubhav Jain
 
Discovering advanced materials for energy applications: theory, high-throughput calculations, and automated experiments
byAnubhav Jain
 
Applications of Large Language Models in Materials Discovery and Design
byAnubhav Jain
 
An AI-driven closed-loop facility for materials synthesis
byAnubhav Jain
 
Best practices for DuraMat software dissemination
byAnubhav Jain
 
Best practices for DuraMat software dissemination
byAnubhav Jain
 
Available methods for predicting materials synthesizability using computational and machine learning approaches
byAnubhav Jain
 
Efficient methods for accurately calculating thermoelectric properties – electronic and thermal transport
byAnubhav Jain
 
Natural Language Processing for Data Extraction and Synthesizability Prediction from the Energy Materials Literature
byAnubhav Jain
 
Machine Learning for Catalyst Design
byAnubhav Jain
 
Discovering new functional materials for clean energy and beyond using high-throughput computing and machine learning
byAnubhav Jain
 
Natural language processing for extracting synthesis recipes and applications to autonomous laboratories
byAnubhav Jain