Alexander Dunn - Concepedia

Author

Alexander Dunn

Lawrence Berkeley National Laboratory ORCID

Also Known As

A. R. Dunn, A.R. Dunn, Alex Dunn, Alexander Dunn, Dunn, Alexander

Publications

Citations

H-Index

Concepts

All Affiliations

Lawrence Berkeley National Laboratory University of California, Berkeley Huntington Hospital University College London Berkeley College

About

Alexander Dunn is an author at Lawrence Berkeley National Laboratory specializing in engineering, knowledge discovery, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	2.6K
2	Language Studies	3	3	1.6K
3	Applied Physics	2	2	48
4	Law	1	1	12
5	Natural Sciences	1	1	15

Alexander Dunn

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
Unsupervised word embeddings capture latent knowledge from materials science literature Vahe Tshitoyan, John Dagdelen, Leigh Weston, Nature Natural Language ProcessingEngineeringData ScienceComputational LinguisticsKnowledge Discovery	2019	1K
Matminer: An open source toolkit for materials data mining Logan Ward, Alexander Dunn, Alireza Faghaninia, Computational Materials Science Materials ScienceOpen Source ToolkitEngineeringMachine LearningData Science	2018	926
Structured information extraction from scientific text with large language models John Dagdelen, Alexander Dunn, Sang‐Hoon Lee, Nature Communications EngineeringKnowledge ExtractionSemantic WebMaterials ChemistryCorpus Linguistics	2024	466
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science Amalie Trewartha, Nicholas Walker, Haoyan Huo, Patterns	2022	140
Structured information extraction from complex scientific text with fine-tuned large language models Alexander Dunn, John Dagdelen, Nicholas Walker, arXiv (Cornell University) EngineeringKnowledge ExtractionComplex Scientific KnowledgeComplex Hierarchical InformationCorpus Linguistics	2022	65
Experimental validation of high thermoelectric performance in RECuZnP<sub>2</sub> predicted by high-throughput DFT calculations Jan‐Hendrik Pöhls, Sevan Chanakian, Junsoo Park, Materials Horizons	2020	63
Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions Haoyan Huo, Christopher J. Bartel, Tanjin He, Chemistry of Materials	2022	63
Machine Learning Chemical Guidelines for Engineering Electronic Structures in Half-Heusler Thermoelectric Materials Maxwell Dylla, Alexander Dunn, Shashwat Anand, Research	2020	50
Gapped metals as thermoelectric materials revealed by high-throughput screening Francesco Ricci, Alexander Dunn, Anubhav Jain, Journal of Materials Chemistry A Materials ScienceSemiconductorsIi-vi SemiconductorTransition Metal ChalcogenidesEngineering	2020	33
The Impact of Domain-Specific Pre-Training on Named Entity Recognition Tasks in Materials Science Nicholas Walker, Amalie Trewartha, Haoyan Huo, SSRN Electronic Journal	2021	29

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