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ORCIDAlexander Dunn 0001
Person information
- affiliation: Lawrence Berkeley National Laboratory, Energy Technologies Area, CA, USA
- affiliation (PhD 2023): University of California Berkeley (UCB), Department of Materials Science and Engineering, CA, USA
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2020 – today
- 2023
[b1]Alexander Dunn:
Machine Learning for Semiconducting Solids: Benchmarking, Thermoelectric Discovery, and Dopant Engineering. University of California Berkeley, USA, 2023- [i2]Nicholas Walker
, John Dagdelen, Kevin Cruse, Sanghoon Lee, Samuel Gleason, Alexander Dunn, Gerbrand Ceder, A. Paul Alivisatos, Kristin A. Persson, Anubhav Jain:
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3. CoRR abs/2304.13846 (2023) - 2022
- [j2]Amalie Trewartha, Nicholas Walker, Haoyan Huo, Sanghoon Lee, Kevin Cruse, John Dagdelen, Alexander Dunn, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain:
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science. Patterns 3(4): 100488 (2022) - [i1]Alexander Dunn, John Dagdelen, Nicholas Walker, Sanghoon Lee, Andrew S. Rosen, Gerbrand Ceder, Kristin A. Persson, Anubhav Jain:
Structured information extraction from complex scientific text with fine-tuned large language models. CoRR abs/2212.05238 (2022)
2010 – 2019
- 2019
- [j1]Vahe Tshitoyan, John Dagdelen, Leigh Weston, Alexander Dunn, Ziqin Rong, Olga Kononova, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain:
Unsupervised word embeddings capture latent knowledge from materials science literature. Nat. 571(7763): 95-98 (2019)
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