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Alexander Dunn

Lawrence Berkeley National Laboratory

14H-index
23Paper Count
3.1KCitation Count
Published Papers 12
Publication Date
Accelerated data-driven materials science with the Materials Project
err2025-07-03
err0
PREAI
errMatthew K. Horton; Patrick Huck; Ruo Xi Yang; Jason M. Munro; Shyam Dwaraknath; Alex M. Ganose; Ryan S. Kingsbury; Mingjian Wen; Jimmy X. Shen; Tyler S. Mathis; Aaron D. Kaplan; Karlo Berket; Janosh Riebesell; Janine George; Andrew S. Rosen; Evan W. C. Spotte-Smith; Matthew J. McDermott; Orion A. Cohen; Alex Dunn; Matthew C. Kuner; Gian-Marco Rignanese; Guido Petretto; David Waroquiers; Sinead M. Griffin; Jeffrey B. Neaton; Daryl C. Chrzan; Mark Asta; Geoffroy Hautier; Shreyas Cholia; Gerbrand Ceder; Shyue Ping Ong; Anubhav Jain; Kristin A. Persson
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Structured information extraction from scientific text with large language models
err2024-02-15
err53
errOAAI
errDagdelen, John; Dunn, Alexander; Lee, Sanghoon; Walker, Nicholas; Rosen, Andrew S.; Ceder, Gerbrand; Persson, Kristin A.; Jain, Anubhav
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Extracting structured seed-mediated gold nanorod growth procedures from scientific text with LLMs
err2023-01-01
err9
errOAAI
errWalker, Nicholas; Lee, Sanghoon; Dagdelen, John; Cruse, Kevin; Gleason, Samuel; Dunn, Alexander; Ceder, Gerbrand; Alivisatos, A. Paul; Persson, Kristin A.; Jain, Anubhav
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Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions
err2022-08-05
err39
errOAAI
errHuo, Haoyan; Bartel, Christopher J.; He, Tanjin; Trewartha, Amalie; Dunn, Alexander; Ouyang, Bin; Jain, Anubhav; Ceder, Gerbrand
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Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science
err2022-04-01
err79
errOAAI
errTrewartha, Amalie; Walker, Nicholas; Huo, Haoyan; Lee, Sanghoon; Cruse, Kevin; Dagdelen, John; Dunn, Alexander; Persson, Kristin A.; Ceder, Gerbrand; Jain, Anubhav
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Experimental validation of high thermoelectric performance in RECuZnP2 predicted by high-throughput DFT calculations
err2021-01-01
err44
PREAI
errPohls, Jan-Hendrik; Chanakian, Sevan; Park, Junsoo; Ganose, Alex M.; Dunn, Alexander; Friesen, Nick; Bhattacharya, Amit; Hogan, Brea; Bux, Sabah; Jain, Anubhav; Mar, Arthur; Zevalkink, Alexandra
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A critical examination of compound stability predictions from machine-learned formation energies
err2020-07-10
err161
errOAAI
errBartel, Christopher J.; Trewartha, Amalie; Wang, Qi; Dunn, Alexander; Jain, Anubhav; Ceder, Gerbrand
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Machine Learning Chemical Guidelines for Engineering Electronic Structures in Half-Heusler Thermoelectric Materials
errRESEARCH
IF10.7
err2020-04-22
err45
errOAAI
errDylla, Maxwell T.; Dunn, Alexander; Anand, Shashwat; Jain, Anubhav; Snyder, G. Jeffrey
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Gapped metals as thermoelectric materials revealed by high-throughput screening
err2020-01-01
err24
PREAI
errRicci, Francesco; Dunn, Alexander; Jain, Anubhav; Rignanese, Gian-Marco; Hautier, Geoffroy
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Matminer: An open source toolkit for materials data mining
err2018-09-01
err675
errOAAI
errWard, Logan; Dunn, Alexander; Faghaninia, Alireza; Zimmermann, Nils E. R.; Bajaj, Saurabh; Wang, Qi; Montoya, Joseph; Chen, Jiming; Bystrom, Kyle; Dylla, Maxwell; Chard, Kyle; Asta, Mark; Persson, Kristin A.; Snyder, G. Jeffrey; Foster, Ian; Jain, Anubhav
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