John Dagdelen - Google Scholar Citations

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	All	Since 2014
Citations	109	109
h-index	4	4
i10-index	3	3

2017201820192 33 71

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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
Joseph MontoyaToyota Research InstituteVerified email at tri.global
Shyam DwaraknathLawrence Berkeley National LabVerified email at lbl.gov
Matthew HortonUniversity of California Berkeley, Lawrence Berkeley National LabVerified email at lbl.gov
Shyue Ping OngUniversity of California San DiegoVerified email at eng.ucsd.edu
Vahe TshitoyanGoogle ATAPVerified email at google.com
Gerbrand CederProfessor of Materials Science and EngineeringVerified email at berkeley.edu
Muratahan AykolToyota Research InstituteVerified email at tri.global
Kiran MathewLBL/UCBerkeleyVerified 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 lbl.gov
Brandon WoodUniversity of California BerkeleyVerified email at berkeley.edu
Tess SmidtLawrence Berkeley National LaboratoryVerified email at lbl.gov
Maarten de JongUniversity of California, BerkeleyVerified email at berkeley.edu
Shreyas CholiaLawrence Berkeley National LaboratoryVerified email at lbl.gov
Nils E. R. ZimmermannHome (Northern Germany)Verified email at tuhh.de
Patrick HuckLawrence Berkeley National LaboratoryVerified email at lbl.gov
Samia AfrinAsst. Professor, East Tennessee State UniversityVerified email at etsu.edu
Zhiwen MaNational Renewable Energy LaboratoryVerified email at nrel.gov

John Dagdelen

Graduate Student, University of California, Berkeley

Verified email at berkeley.edu - Homepage

Computational Materials Science Materials Science Machine Learning


Title	Cited by	Year
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	47	2017
Computational prediction of new auxetic materials J Dagdelen, J Montoya, M de Jong, K Persson Nature communications 8 (1), 323, 2017	32	2017
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	25	2019
The Materials Project: Accelerating Materials Design Through Theory-Driven Data and Tools A Jain, J Montoya, S Dwaraknath, NE Zimmermann, J Dagdelen, ... Handbook of Materials Modeling, 1-34, 2018	4	2018
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	1	2019
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 ASME 2016 10th International Conference on Energy Sustainability collocated …, 2016		2016

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