Gerbrand Ceder

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 14

Top Topics

Materials Science

Top Venues

Nat. Mac. Intell.

J. Chem. Inf. Model.

Publications

Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand, Zhuohan Li, KyuJung Jun, Kristin A. Persson, Gerbrand Ceder
Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning. CoRR (2024)
Yuxing Fei, Bernardus Rendy, Rishi Kumar, Olympia Dartsi, Hrushikesh P. Sahasrabuddhe, Matthew J. McDermott, Zheren Wang, Nathan J. Szymanski, Lauren N. Walters, David Milsted, Yan Zeng, Anubhav Jain, Gerbrand Ceder
AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories. CoRR (2024)
Bowen Deng, Peichen Zhong, KyuJung Jun, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling. CoRR (2023)
Tanjin He, Haoyan Huo, Christopher J. Bartel, Zheren Wang, Kevin Cruse, Gerbrand Ceder
Inorganic synthesis recommendation by machine learning materials similarity from scientific literature. CoRR (2023)
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)
Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling. Nat. Mac. Intell. 5 (9) (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)
Luis Barroso-Luque, Julia H. Yang, Fengyu Xie, Tina Chen, Ronald L. Kam, Zinab Jadidi, Peichen Zhong, Gerbrand Ceder
smol: A Python package for cluster expansions and beyond. J. Open Source Softw. 7 (78) (2022)
Zheren Wang, Kevin Cruse, Yuxing Fei, Ann Chia, Yan Zeng, Haoyan Huo, Tanjin He, Bowen Deng, Olga Kononova, Gerbrand Ceder
ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols. CoRR (2022)
Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng, Qingsong Tu, Gerbrand Ceder
A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra. CoRR (2021)
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)
Dan Gunter, Shreyas Cholia, Anubhav Jain, Michael Kocher, Kristin A. Persson, Lavanya Ramakrishnan, Shyue Ping Ong, Gerbrand Ceder
Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project. SC Companion (2012)
Gevorg Grigoryan, Fei Zhou, Steve R. Lustig, Gerbrand Ceder, Dane Morgan, Amy E. Keating
Ultra-Fast Evaluation of Protein Energies Directly from Sequence. PLoS Comput. Biol. 2 (6) (2006)