Moving closer to experimental level materials property prediction using AI

por Jha, Dipendra, Gupta, Vishu, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit
Publicado 2022

ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition

por Jha, Dipendra, Ward, Logan, Paul, Arindam, Liao, Wei-keng, Choudhary, Alok, Wolverton, Chris, Agrawal, Ankit
Publicado 2018

Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

por Jha, Dipendra, Choudhary, Kamal, Tavazza, Francesca, Liao, Wei-keng, Choudhary, Alok, Campbell, Carelyn, Agrawal, Ankit
Publicado 2019

Author Correction: Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

por Jha, Dipendra, Choudhary, Kamal, Tavazza, Francesca, Liao, Wei-keng, Choudhary, Alok, Campbell, Carelyn, Agrawal, Ankit
Publicado 2020

Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design

por Mao, Yuwei, Yang, Zijiang, Jha, Dipendra, Paul, Arindam, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit
Publicado 2022

Enabling deeper learning on big data for materials informatics applications

por Jha, Dipendra, Gupta, Vishu, Ward, Logan, Yang, Zijiang, Wolverton, Christopher, Foster, Ian, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit
Publicado 2021