Kristin A. Persson

According to our database, Kristin A. Persson authored at least 21 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Anubhav Jain, Alex M. Ganose

J. Open Source Softw., January, 2024

pylattica: a package for prototyping lattice models in chemistry and materials science.

Max C. Gallant, Kristin A. Persson

J. Open Source Softw., 2024

Deconvolution and Analysis of the ¹H NMR Spectra of Crude Reaction Mixtures.

Maxwell C. Venetos, Masha Elkin, Connor Delaney, John F. Hartwig, Kristin A. Persson

J. Chem. Inf. Model., 2024

Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning.

Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand, Zhuohan Li, KyuJung Jun, Kristin A. Persson, Gerbrand Ceder

CoRR, 2024

2023

A method to computationally screen for tunable properties of crystalline alloys.

Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson

Patterns, August, 2023

SolvationAnalysis: A Python toolkit for understanding liquid solvation structure in classical molecular dynamics simulations.

Orion Archer Cohen, Hugo MacDermott-Opeskin, Lauren Lee, Tingzheng Hou, Kara D. Fong, Ryan Kingsbury, Jingyang Wang, Kristin A. Persson

J. Open Source Softw., March, 2023

Chemical reaction networks and opportunities for machine learning.

Mingjian Wen, Evan Walter Clark Spotte-Smith, Samuel M. Blau, Matthew J. McDermott, Aditi S. Krishnapriyan, Kristin A. Persson

Nat. Comput. Sci., 2023

Matbench Discovery - An evaluation framework for machine learning crystal stability prediction.

Janosh Riebesell, Rhys E. A. Goodall, Anubhav Jain, Philipp Benner, Kristin A. Persson, Alpha A. Lee

CoRR, 2023

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

CoRR, 2023

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

Patterns, 2022

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

CoRR, 2022

2021

Promises and perils of computational materials databases.

Matthew K. Horton, Shyam Dwaraknath, Kristin A. Persson

Nat. Comput. Sci., 2021

Automated Adsorption Workflow for Semiconductor Surfaces and the Application to Zinc Telluride.

Oxana Andriuc, Martin Siron, Joseph H. Montoya, Matthew K. Horton, Kristin A. Persson

J. Chem. Inf. Model., 2021

2020

COVIDScholar: An automated COVID-19 research aggregation and analysis platform.

Amalie Trewartha, John Dagdelen, Haoyan Huo, Kevin Cruse, Zheren Wang, Tanjin He, Akshay Subramanian, Yuxing Fei, Benjamin Justus, Kristin A. Persson, Gerbrand Ceder

CoRR, 2020

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

Nat., 2019

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

J. Chem. Inf. Model., 2019

2016

User applications driven by the community contribution framework MPContribs in the Materials Project.

Patrick Huck, Dan Gunter, Shreyas Cholia, Donald Winston, Alpha T. N'Diaye, Kristin A. Persson

Concurr. Comput. Pract. Exp., 2016

2015

PyDII: A python framework for computing equilibrium intrinsic point defect concentrations and extrinsic solute site preferences in intermetallic compounds.

Hong Ding, Bharat Medasani, Wei Chen, Kristin A. Persson, Maciej Haranczyk, Mark Asta

Comput. Phys. Commun., 2015

FireWorks: a dynamic workflow system designed for high-throughput applications.

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

Concurr. Comput. Pract. Exp., 2015

A Community Contribution Framework for Sharing Materials Data with Materials Project.

Patrick Huck, Anubhav Jain, Dan Gunter, Donald Winston, Kristin A. Persson

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2012

Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project.

Dan Gunter, Shreyas Cholia, Anubhav Jain, Michael Kocher, Kristin A. Persson, Lavanya Ramakrishnan, Shyue Ping Ong, Gerbrand Ceder

Proceedings of the 2012 SC Companion: High Performance Computing, 2012