John Dagdelen

According to our database, John Dagdelen authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3.

Nicholas Walker, John Dagdelen, Kevin Cruse, Sanghoon Lee, Samuel Gleason, Alexander Dunn, Gerbrand Ceder, A. Paul Alivisatos, Kristin A. Persson, Anubhav Jain

CoRR, 2023

2022

Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science.

Amalie Trewartha, Nicholas Walker, Haoyan Huo, Sanghoon Lee, Kevin Cruse, John Dagdelen, Alexander Dunn, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain

Patterns, 2022

Structured information extraction from complex scientific text with fine-tuned large language models.

Alexander Dunn, John Dagdelen, Nicholas Walker, Sanghoon Lee, Andrew S. Rosen, Gerbrand Ceder, Kristin A. Persson, Anubhav Jain

CoRR, 2022

2020

COVIDScholar: An automated COVID-19 research aggregation and analysis platform.

Amalie Trewartha, John Dagdelen, Haoyan Huo, Kevin Cruse, Zheren Wang, Tanjin He, Akshay Subramanian, Yuxing Fei, Benjamin Justus, Kristin A. Persson, Gerbrand Ceder

CoRR, 2020

2019

Unsupervised word embeddings capture latent knowledge from materials science literature.

Vahe Tshitoyan, John Dagdelen, Leigh Weston, Alexander Dunn, Ziqin Rong, Olga Kononova, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain

Nat., 2019

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature.

Leigh Weston, Vahe Tshitoyan, John Dagdelen, Olga Kononova, Amalie Trewartha, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain

J. Chem. Inf. Model., 2019