Gerbrand Ceder

According to our database, Gerbrand Ceder authored at least 14 papers between 2006 and 2023.

Collaborative distances:

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

2023

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling.

Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder

Nat. Mac. Intell., September, 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

CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling.

Bowen Deng, Peichen Zhong, KyuJung Jun, Kevin Han, Christopher J. Bartel, Gerbrand Ceder

CoRR, 2023

Inorganic synthesis recommendation by machine learning materials similarity from scientific literature.

Tanjin He, Haoyan Huo, Christopher J. Bartel, Zheren Wang, Kevin Cruse, Gerbrand Ceder

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

smol: A Python package for cluster expansions and beyond.

Luis Barroso-Luque, Julia H. Yang, Fengyu Xie, Tina Chen, Ronald L. Kam, Zinab Jadidi, Peichen Zhong, Gerbrand Ceder

J. Open Source Softw., 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

ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols.

Zheren Wang, Kevin Cruse, Yuxing Fei, Ann Chia, Yan Zeng, Haoyan Huo, Tanjin He, Bowen Deng, Olga Kononova, Gerbrand Ceder

CoRR, 2022

2021

A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra.

Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng, Qingsong Tu, Gerbrand Ceder

CoRR, 2021

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

2012

Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project.

Dan Gunter, Shreyas Cholia, Anubhav Jain, Michael Kocher, Kristin A. Persson, Lavanya Ramakrishnan, Shyue Ping Ong, Gerbrand Ceder

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2006

Ultra-Fast Evaluation of Protein Energies Directly from Sequence.

Gevorg Grigoryan, Fei Zhou, Steve R. Lustig, Gerbrand Ceder, Dane Morgan, Amy E. Keating

PLoS Comput. Biol., 2006