Anubhav Jain

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis

Voltage, stability and diffusion barrier differences between sodium-ion and lithium-ion intercalation materials

Formation enthalpies by mixing GGA and GGA<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mo>+</mml:mo></mml:mrow></mml:math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>U</mml:mi></mml:mrow></mml:math>calculations

Unsupervised word embeddings capture latent knowledge from materials science literature

A high-throughput infrastructure for density functional theory calculations

Recent advances and applications of deep learning methods in materials science

Charting the complete elastic properties of inorganic crystalline compounds

Matminer: An open source toolkit for materials data mining

The thermodynamic scale of inorganic crystalline metastability

Computational predictions of energy materials using density functional theory

An autonomous laboratory for the accelerated synthesis of inorganic materials