Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project. - Dan Gunter; Shreyas Cholia; Anubhav Jain 001; Michael Kocher; Kristin A. Persson; Lavanya Ramakrishnan; Shyue Ping Ong; Gerbrand Ceder (SC Companion, 2012)

A Community Contribution Framework for Sharing Materials Data with Materials Project. - Patrick Huck; Anubhav Jain 001; Dan Gunter; Donald Winston; Kristin A. Persson (e-Science, 2015)

FireWorks: a dynamic workflow system designed for high-throughput applications. - Anubhav Jain 001; Shyue Ping Ong; Wei Chen 043; Bharat Medasani; Xiaohui Qu; Michael Kocher; Miriam Brafman; Guido Petretto; Gian-Marco Rignanese; Geoffroy Hautier; Daniel K. Gunter; Kristin A. Persson (Concurr. Comput. Pract. Exp., 2015)

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature. - Leigh Weston; Vahe Tshitoyan; John Dagdelen; Olga Kononova; Amalie Trewartha; Kristin A. Persson; Gerbrand Ceder; Anubhav Jain 001 (J. Chem. Inf. Model., 2019)

Unsupervised word embeddings capture latent knowledge from materials science literature. - Vahe Tshitoyan; John Dagdelen; Leigh Weston; Alexander Dunn; Ziqin Rong; Olga Kononova; Kristin A. Persson; Gerbrand Ceder; Anubhav Jain 001 (Nat., 2019)

Aqueous Diels-Alder reactions for thermochemical storage and heat transfer fluids identified using density functional theory. - Evan Walter Clark Spotte-Smith; Peiyuan Yu; Samuel M. Blau; Ravi S. Prasher; Anubhav Jain 001 (J. Comput. Chem., 2020)

IFermi: A python library for Fermi surface generation and analysis. - Alex M. Ganose; Amy Searle; Anubhav Jain 001; Sinéad M. Griffin (J. Open Source Softw., 2021)

Structured information extraction from complex scientific text with fine-tuned large language models. - Alexander Dunn; John Dagdelen; Nicholas Walker; Sanghoon Lee; Andrew S. Rosen; Gerbrand Ceder; Kristin A. Persson; Anubhav Jain 001 (CoRR, 2022)

Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science. - Amalie Trewartha; Nicholas Walker; Haoyan Huo; Sanghoon Lee; Kevin Cruse; John Dagdelen; Alexander Dunn; Kristin A. Persson; Gerbrand Ceder; Anubhav Jain 001 (Patterns, 2022)

Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3. - Nicholas Walker; John Dagdelen; Kevin Cruse; Sanghoon Lee; Samuel Gleason; Alexander Dunn; Gerbrand Ceder; A. Paul Alivisatos; Kristin A. Persson; Anubhav Jain 001 (CoRR, 2023)

Matbench Discovery - An evaluation framework for machine learning crystal stability prediction. - Janosh Riebesell; Rhys E. A. Goodall; Anubhav Jain 001; Philipp Benner; Kristin A. Persson; Alpha A. Lee (CoRR, 2023)

Enhancing Power Prediction of Photovoltaic Systems: Leveraging Dynamic Physical Model for Irradiance-to-Power Conversion. - Baojie Li; Xin Chen; Anubhav Jain 001 (CoRR, 2024)

AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories. - Yuxing Fei; Bernardus Rendy; Rishi Kumar; Olympia Dartsi; Hrushikesh P. Sahasrabuddhe; Matthew J. McDermott; Zheren Wang; Nathan J. Szymanski; Lauren N. Walters; David Milsted; Yan Zeng; Anubhav Jain 001; et al. (CoRR, 2024)

Jobflow: Computational Workflows Made Simple. - Andrew S. Rosen; Max C. Gallant; Janine George; Janosh Riebesell; Hrushikesh Sahasrabuddhe; Jimmy-Xuan Shen; Mingjian Wen; Matthew L. Evans; Guido Petretto; David Waroquiers; Gian-Marco Rignanese; Kristin A. Persson; et al. (J. Open Source Softw., 2024)