Alex Dunn

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Anubhav JainLawrence Berkeley National LabVerified email at lbl.gov
Gerbrand CederProfessor of Materials Science and EngineeringVerified email at berkeley.edu
Kristin Aslaug Persson (nee Einarsdott...Department of Materials Science and Engineering, UC BerkeleyVerified email at berkeley.edu
John DagdelenGraduate Student, University of California, BerkeleyVerified email at berkeley.edu
Amalie TrewarthaSenior Research Scientist, Toyota Research InstituteVerified email at tri.global
G. Jeffrey SnyderNorthwestern UniversityVerified email at northwestern.edu
Maxwell DyllaNorthwestern UniversityVerified email at u.northwestern.edu
Vahe TshitoyanGoogle ATAPVerified email at google.com
Olga KononovaResearcher/DeveloperVerified email at syngenta.com
Ziqin RongMIT Computer Science Master, Materials Science PhDVerified email at mit.edu
Leigh WestonLawrence Berkeley National LaboratoryVerified email at engineering.ucsb.edu
Ian T. FosterUniversity of Chicago and Argonne National LaboratoryVerified email at anl.gov
Nils E. R. ZimmermannUniversity of StuttgartVerified email at tuhh.de
M. AstaUniversity of California, Sandia National Laboratories, Northwestern UniversityVerified email at berkeley.edu
Saurabh BajajMicron Technology IncVerified email at lbl.gov
Logan WardArgonne National Laboratory, Data Science and Learning DivisionVerified email at anl.gov
Alireza FaghaniniaMaterials Postdoctoral Fellow, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Joseph MontoyaToyota Research InstituteVerified email at tri.global
Kyle BystromApplied Physics PhD Student, Harvard UniversityVerified email at g.harvard.edu
Alex GanoseImperial College LondonVerified email at imperial.ac.uk

Alex Dunn

University of California, Berkeley

Verified email at lbl.gov - Homepage

machine learning computational materials science


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Unsupervised word embeddings capture latent knowledge from materials science literature V Tshitoyan, J Dagdelen, L Weston, A Dunn, Z Rong, O Kononova, ... Nature 571 (7763), 95-98, 2019	901	2019
Matminer: An open source toolkit for materials data mining L Ward, A Dunn, A Faghaninia, NER Zimmermann, S Bajaj, Q Wang, ... Computational Materials Science 152, 60-69, 2018	608	2018
Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm A Dunn, Q Wang, A Ganose, D Dopp, A Jain npj Computational Materials 6 (1), 138, 2020	195	2020
A critical examination of compound stability predictions from machine-learned formation energies CJ Bartel, A Trewartha, Q Wang, A Dunn, A Jain, G Ceder npj computational materials 6 (1), 97, 2020	140	2020
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science A Trewartha, N Walker, H Huo, S Lee, K Cruse, J Dagdelen, A Dunn, ... Patterns 3 (4), 2022	85	2022
Structured information extraction from complex scientific text with fine-tuned large language models A Dunn, J Dagdelen, N Walker, S Lee, AS Rosen, G Ceder, K Persson, ... arXiv preprint arXiv:2212.05238, 2022	79	2022
Electropneumatic Towing Stabilizer System AR Dunn US Patent App. 14/055,729, 2015	52	2015
Experimental validation of high thermoelectric performance in RECuZnP 2 predicted by high-throughput DFT calculations JH Pöhls, S Chanakian, J Park, AM Ganose, A Dunn, N Friesen, ... Materials Horizons 8 (1), 209-215, 2021	40	2021
Machine learning chemical guidelines for engineering electronic structures in half-heusler thermoelectric materials MT Dylla, A Dunn, S Anand, A Jain, GJ Snyder Research, 2020	40	2020
Machine-learning rationalization and prediction of solid-state synthesis conditions H Huo, CJ Bartel, T He, A Trewartha, A Dunn, B Ouyang, A Jain, G Ceder Chemistry of Materials 34 (16), 7323-7336, 2022	37	2022
Gapped metals as thermoelectric materials revealed by high-throughput screening F Ricci, A Dunn, A Jain, GM Rignanese, G Hautier Journal of Materials Chemistry A 8 (34), 17579-17594, 2020	26	2020
The impact of domain-specific pre-training on named entity recognition tasks in materials science N Walker, A Trewartha, H Huo, S Lee, K Cruse, J Dagdelen, A Dunn, ... Available at SSRN 3950755, 2021	20	2021
Rocketsled: a software library for optimizing high-throughput computational searches A Dunn, J Brenneck, A Jain Journal of Physics: Materials 2 (3), 034002, 2019	20	2019
5 Algorithms for materials discovery J Dagdelen, A Dunn Accelerated Materials Discovery: How to Use Artificial Intelligence to Speed …, 2022		2022

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