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John Dagdelen
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 6
Top Topics
Materials Science
Top Venues
CoRR
J. Chem. Inf. Model.
Patterns
Nat.
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Publications
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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
(2023)
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
(2022)
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) (2022)
Amalie Trewartha
,
John Dagdelen
,
Haoyan Huo
,
Kevin Cruse
,
Zheren Wang
,
Tanjin He
,
Akshay Subramanian
,
Yuxing Fei
,
Benjamin Justus
,
Kristin A. Persson
,
Gerbrand Ceder
COVIDScholar: An automated COVID-19 research aggregation and analysis platform.
CoRR
(2020)
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) (2019)
Leigh Weston
,
Vahe Tshitoyan
,
John Dagdelen
,
Olga Kononova
,
Amalie Trewartha
,
Kristin A. Persson
,
Gerbrand Ceder
,
Anubhav Jain
Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature.
J. Chem. Inf. Model.
59 (9) (2019)