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2020 – today
- 2024
[j14]Maxwell C. Venetos
, Masha Elkin, Connor Delaney, John F. Hartwig, Kristin A. Persson:
Deconvolution and Analysis of the 1H NMR Spectra of Crude Reaction Mixtures. J. Chem. Inf. Model. 64(8): 3008-3020 (2024)- [j13]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:
Jobflow: Computational Workflows Made Simple. J. Open Source Softw. 9(93): 5995 (2024) - [i7]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 abs/2405.07105 (2024) - 2023
- [j12]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): 5183 (2023) - [j11]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): 12-24 (2023) - [j10]Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson:
A method to computationally screen for tunable properties of crystalline alloys. Patterns 4(5): 100723 (2023) - [j9]Rachel Woods-Robinson, Matthew K. Horton, Kristin A. Persson:
A method to computationally screen for tunable properties of crystalline alloys. Patterns 4(8): 100823 (2023) - [i6]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 abs/2304.13846 (2023) - [i5]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 abs/2308.14920 (2023) - 2022
- [j8]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): 100488 (2022) - [i4]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 abs/2212.05238 (2022) - 2021
- [j7]Oxana Andriuc, Martin Siron, Joseph H. Montoya, Matthew K. Horton, Kristin A. Persson:
Automated Adsorption Workflow for Semiconductor Surfaces and the Application to Zinc Telluride. J. Chem. Inf. Model. 61(8): 3908-3916 (2021) - [j6]Matthew K. Horton, Shyam Dwaraknath, Kristin A. Persson:
Promises and perils of computational materials databases. Nat. Comput. Sci. 1(1): 3-5 (2021) - 2020
- [i3]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 abs/2012.03891 (2020)
2010 – 2019
- 2019
- [j5]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): 3692-3702 (2019) - [j4]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): 95-98 (2019) - 2016
- [j3]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): 1982-1993 (2016) - 2015
- [j2]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): 5037-5059 (2015) - [j1]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: 118-123 (2015) - [c2]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: 535-541 - [i2]Patrick Huck, Anubhav Jain, Dan Gunter, Donald Winston, Kristin A. Persson:
A Community Contribution Framework for Sharing Materials Data with Materials Project. CoRR abs/1510.05024 (2015) - [i1]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 abs/1510.05727 (2015) - 2012
- [c1]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: 1244-1251
Coauthor Index
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last updated on 2024-08-14 23:18 CEST by the dblp team
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