John Dagdelen

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Kristin Aslaug Persson (nee Einarsdott...UC Berkeley/Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Anubhav JainLawrence Berkeley National LabVerified email at lbl.gov
Gerbrand CederProfessor of Materials Science and EngineeringVerified email at berkeley.edu
Alex DunnUniversity of California, BerkeleyVerified email at lbl.gov
Joseph MontoyaToyota Research InstituteVerified email at tri.global
Vahe TshitoyanGoogle ATAPVerified email at google.com
Olga KononovaResearcher/DeveloperVerified email at syngenta.com
Leigh WestonLawrence Berkeley National LaboratoryVerified email at engineering.ucsb.edu
Shyue Ping OngUniversity of California San DiegoVerified email at eng.ucsd.edu
Matthew HortonLawrence Berkeley National Lab, University of California BerkeleyVerified email at lbl.gov
Ziqin RongMIT Computer Science Master, Materials Science PhDVerified email at mit.edu
Shreyas CholiaLawrence Berkeley National LaboratoryVerified email at lbl.gov
Muratahan AykolGoogle BrainVerified email at google.com
Kiran MathewVerified email at cornell.edu
Alireza FaghaniniaMaterials Postdoctoral Fellow, Lawrence Berkeley National LaboratoryVerified email at lbl.gov
Jeffrey B. NeatonUniversity of California, Berkeley & Lawrence Berkeley National LaboratoryVerified email at berkeley.edu
Tess SmidtMassachusetts Institute of TechnologyVerified email at mit.edu
Brandon WoodLawrence Berkeley National LaboratoryVerified email at berkeley.edu
Maarten de JongSpace Exploration TechnologiesVerified email at spacex.com
Patrick HuckLawrence Berkeley National LaboratoryVerified email at lbl.gov

John Dagdelen

Graduate Student, University of California, Berkeley

Verified email at berkeley.edu - Homepage

Computational Materials Science Materials Science Machine Learning


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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	645	2019
Atomate: A high-level interface to generate, execute, and analyze computational materials science workflows K Mathew, JH Montoya, A Faghaninia, S Dwarakanath, M Aykol, H Tang, ... Computational Materials Science 139, 140-152, 2017	223	2017
Named entity recognition and normalization applied to large-scale information extraction from the materials science literature L Weston, V Tshitoyan, J Dagdelen, O Kononova, A Trewartha, ... Journal of chemical information and modeling 59 (9), 3692-3702, 2019	115	2019
Computational prediction of new auxetic materials J Dagdelen, J Montoya, M De Jong, K Persson Nature communications 8 (1), 323, 2017	114	2017
Handbook of Materials Modeling A Jain, J Montoya, S Dwaraknath, NER Zimmermann, J Dagdelen, ... Springer International Publishing, 2018	52	2018
The materials project: Accelerating materials design through theory-driven data and tools A Jain, J Montoya, S Dwaraknath, NER Zimmermann, J Dagdelen, ... Handbook of Materials Modeling: Methods: Theory and Modeling, 1751-1784, 2020	31	2020
The materials research platform: defining the requirements from user stories M Aykol, JS Hummelshøj, A Anapolsky, K Aoyagi, MZ Bazant, T Bligaard, ... Matter 1 (6), 1433-1438, 2019	21	2019
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), 100488, 2022	14	2022
COVIDScholar: An automated COVID-19 research aggregation and analysis platform A Trewartha, J Dagdelen, H Huo, K Cruse, Z Wang, T He, A Subramanian, ... arXiv preprint arXiv:2012.03891, 2020	14	2020
Enumeration as a Tool for Structure Solution: A Materials Genomic Approach to Solving the Cation-Ordered Structure of Na₃V₂(PO₄)₂F₃ GS Mattei, JM Dagdelen, M Bianchini, AM Ganose, A Jain, E Suard, ... Chemistry of Materials 32 (20), 8981-8992, 2020	9	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	8	2021
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	2	2022
Online interactive platform for Covid-19 literature visual analytics: platform development study A Moran, S Hampton, S Dowson, J Dagdelen, A Trewartha, G Ceder, ... Journal of medical Internet research 23 (7), e26995, 2021	2	2021
Algorithms for materials discovery J Dagdelen, A Dunn Accelerated Materials Discovery: How to Use Artificial Intelligence to Speed …, 2022		2022
Nanocomposite coatings for perovskite solar cells and methods of making the same K Zhu, Z Ma, JM Dagdelen US Patent 10,847,738, 2020		2020
Application of Sol-Gel Method as a Protective Layer on a Specular Reflective Surface for Secondary Reflector in a Solar Receiver S Afrin, J Dagdelen, Z Ma, V Kumar Energy Sustainability 50220, V001T04A003, 2016		2016
Opening the Science Gateway: Lessons from the Materials Project Workshop J Dagdelen, J Montoya, S Dwaraknath, E Sivonxay, M Horton, P Huck, ...

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