John Dagdelen

Citirano

	Sve	Od 2020.
Citati	2565	2414
H-indeks	13	13
i10-indeks	13	13

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Kristin Aslaug Persson (nee Einarsdott...Department of Materials Science and Engineering, UC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Anubhav JainLawrence Berkeley National LabPotvrđena adresa e-pošte na lbl.gov
Gerbrand CederProfessor of Materials Science and EngineeringPotvrđena adresa e-pošte na berkeley.edu
Alex DunnUniversity of California, BerkeleyPotvrđena adresa e-pošte na lbl.gov
Joseph MontoyaToyota Research InstitutePotvrđena adresa e-pošte na tri.global
Vahe TshitoyanGoogle ATAPPotvrđena adresa e-pošte na google.com
Olga KononovaResearcher/Software DeveloperPotvrđena adresa e-pošte na nvidia.com
Leigh WestonLawrence Berkeley National LaboratoryPotvrđena adresa e-pošte na engineering.ucsb.edu
Shyam DwaraknathNonePotvrđena adresa e-pošte na getcruise.com
Matthew HortonLawrence Berkeley National Lab, University of California BerkeleyPotvrđena adresa e-pošte na lbl.gov
Ziqin RongMIT Computer Science Master, Materials Science PhDPotvrđena adresa e-pošte na mit.edu
Shyue Ping OngUniversity of California San DiegoPotvrđena adresa e-pošte na ucsd.edu
Muratahan AykolGoogle DeepMindPotvrđena adresa e-pošte na google.com
Kiran MathewPotvrđena adresa e-pošte na cornell.edu
Alireza FaghaniniaMaterials Postdoctoral Fellow, Lawrence Berkeley National LaboratoryPotvrđena adresa e-pošte na lbl.gov
Jeffrey B. NeatonUniversity of California, Berkeley & Lawrence Berkeley National LaboratoryPotvrđena adresa e-pošte na berkeley.edu
Tess SmidtMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Brandon M. WoodFundamental AI Research at MetaPotvrđena adresa e-pošte na meta.com
Shreyas CholiaLawrence Berkeley National LaboratoryPotvrđena adresa e-pošte na lbl.gov
Patrick HuckLawrence Berkeley National LaboratoryPotvrđena adresa e-pošte na lbl.gov

Prati

John Dagdelen

Doctorate, University of California, Berkeley

Potvrđena adresa e-pošte na berkeley.edu - Početna stranica

Computational Materials Science Materials Science Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	1080	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	380	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	296	2019
Structured information extraction from scientific text with large language models J Dagdelen, A Dunn, S Lee, N Walker, AS Rosen, G Ceder, KA Persson, ... Nature Communications 15 (1), 1418, 2024	188	2024
Computational prediction of new auxetic materials J Dagdelen, J Montoya, M De Jong, K Persson Nature communications 8 (1), 323, 2017	155	2017
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	134	2022
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	129	2022
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	77	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	35	2021
COVIDScholar: An automated COVID-19 research aggregation and analysis platform J Dagdelen, A Trewartha, H Huo, Y Fei, T He, K Cruse, Z Wang, ... Plos one 18 (2), e0281147, 2023	27	2023
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	26	2019
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	18	2020
Extracting structured seed-mediated gold nanorod growth procedures from scientific text with LLMs N Walker, S Lee, J Dagdelen, K Cruse, S Gleason, A Dunn, G Ceder, ... Digital Discovery 2 (6), 1768-1782, 2023	14	2023
Extracting structured seed-mediated gold nanorod growth procedures from literature with GPT-3 N Walker, J Dagdelen, K Cruse, S Lee, S Gleason, A Dunn, G Ceder, ... arXiv preprint arXiv:2304.13846, 2023	4	2023
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
Data-driven acceleration of materials discovery and design JM Dagdelen UC Berkeley, 2023		2023
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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