Kristin A. Persson

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 17

Top Topics

Materials Science

Top Venues

J. Chem. Inf. Model.

Concurr. Comput. Pract. Exp.

Publications

Maxwell C. Venetos, Masha Elkin, Connor Delaney, John F. Hartwig, Kristin A. Persson
H NMR Spectra of Crude Reaction Mixtures. J. Chem. Inf. Model. 64 (8) (2024)
Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand, Zhuohan Li, KyuJung Jun, Kristin A. Persson, Gerbrand Ceder
Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning. CoRR (2024)
Andrew S. Rosen, Max 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, Anubhav Jain, Alex M. Ganose
Jobflow: Computational Workflows Made Simple. J. Open Source Softw. 9 (93) (2024)
Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson
A method to computationally screen for tunable properties of crystalline alloys. Patterns 4 (5) (2023)
Janosh Riebesell, Rhys E. A. Goodall, Anubhav Jain, Philipp Benner, Kristin A. Persson, Alpha A. Lee
Matbench Discovery - An evaluation framework for machine learning crystal stability prediction. CoRR (2023)
Orion Archer Cohen, Hugo Macdermott-Opeskin, Lauren Lee, Tingzheng Hou, Kara D. Fong, Ryan Kingsbury, Jingyang Wang, Kristin A. Persson
SolvationAnalysis: A Python toolkit for understanding liquid solvation structure in classical molecular dynamics simulations. J. Open Source Softw. 8 (83) (2023)
Mingjian Wen, Evan Walter Clark Spotte-Smith, Samuel M. Blau, Matthew J. McDermott, Aditi S. Krishnapriyan, Kristin A. Persson
Chemical reaction networks and opportunities for machine learning. Nat. Comput. Sci. 3 (1) (2023)
Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson
A method to computationally screen for tunable properties of crystalline alloys. Patterns 4 (8) (2023)
Nicholas Walker, John Dagdelen, Kevin Cruse, Sanghoon Lee, Samuel Gleason, Alexander Dunn, Gerbrand Ceder, A. Paul Alivisatos, Kristin A. Persson, Anubhav Jain
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3. CoRR (2023)
Alexander Dunn, John Dagdelen, Nicholas Walker, Sanghoon Lee, Andrew S. Rosen, Gerbrand Ceder, Kristin A. Persson, Anubhav Jain
Structured information extraction from complex scientific text with fine-tuned large language models. CoRR (2022)
Amalie Trewartha, Nicholas Walker, Haoyan Huo, Sanghoon Lee, Kevin Cruse, John Dagdelen, Alexander Dunn, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science. Patterns 3 (4) (2022)
Oxana Andriuc, Martin Siron, Joseph H. Montoya, Matthew Horton, Kristin A. Persson
Automated Adsorption Workflow for Semiconductor Surfaces and the Application to Zinc Telluride. J. Chem. Inf. Model. 61 (8) (2021)
Matthew K. Horton, Shyam Dwaraknath, Kristin A. Persson
Promises and perils of computational materials databases. Nat. Comput. Sci. 1 (1) (2021)
Amalie Trewartha, John Dagdelen, Haoyan Huo, Kevin Cruse, Zheren Wang, Tanjin He, Akshay Subramanian, Yuxing Fei, Benjamin Justus, Kristin A. Persson, Gerbrand Ceder
COVIDScholar: An automated COVID-19 research aggregation and analysis platform. CoRR (2020)
Vahe Tshitoyan, John Dagdelen, Leigh Weston, Alexander Dunn, Ziqin Rong, Olga Kononova, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain
Unsupervised word embeddings capture latent knowledge from materials science literature. Nat. 571 (7763) (2019)
Leigh Weston, Vahe Tshitoyan, John Dagdelen, Olga Kononova, Amalie Trewartha, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain
Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature. J. Chem. Inf. Model. 59 (9) (2019)
Patrick Huck, Dan Gunter, Shreyas Cholia, Donald Winston, Alpha T. N'Diaye, Kristin A. Persson
User applications driven by the community contribution framework MPContribs in the Materials Project. Concurr. Comput. Pract. Exp. 28 (7) (2016)
Patrick Huck, Dan Gunter, Shreyas Cholia, Donald Winston, Alpha T. N'Diaye, Kristin A. Persson
User Applications Driven by the Community Contribution Framework MPContribs in the Materials Project. CoRR (2015)
Anubhav Jain, Shyue Ping Ong, Wei Chen, Bharat Medasani, Xiaohui Qu, Michael Kocher, Miriam Brafman, Guido Petretto, Gian-Marco Rignanese, Geoffroy Hautier, Daniel K. Gunter, Kristin A. Persson
FireWorks: a dynamic workflow system designed for high-throughput applications. Concurr. Comput. Pract. Exp. 27 (17) (2015)
Patrick Huck, Anubhav Jain, Dan Gunter, Donald Winston, Kristin A. Persson
A Community Contribution Framework for Sharing Materials Data with Materials Project. CoRR (2015)
Patrick Huck, Anubhav Jain, Dan Gunter, Donald Winston, Kristin A. Persson
A Community Contribution Framework for Sharing Materials Data with Materials Project. e-Science (2015)
Hong Ding, Bharat Medasani, Wei Chen, Kristin A. Persson, Maciej Haranczyk, Mark Asta
PyDII: A python framework for computing equilibrium intrinsic point defect concentrations and extrinsic solute site preferences in intermetallic compounds. Comput. Phys. Commun. 193 (2015)
Dan Gunter, Shreyas Cholia, Anubhav Jain, Michael Kocher, Kristin A. Persson, Lavanya Ramakrishnan, Shyue Ping Ong, Gerbrand Ceder
Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project. SC Companion (2012)