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Gerbrand Ceder
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Journal Articles
- 2023
- [j6]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): 1031-1041 (2023) - 2022
- [j5]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): 4504 (2022) - [j4]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) - 2019
- [j3]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): 3692-3702 (2019) - [j2]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) - 2006
- [j1]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)
Conference and Workshop Papers
- 2012
- [c1]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: 1244-1251
Informal and Other Publications
- 2024
- [i9]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 abs/2405.07105 (2024) - [i8]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 abs/2405.13930 (2024) - 2023
- [i7]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 abs/2302.02303 (2023) - [i6]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 abs/2302.14231 (2023) - [i5]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
- [i4]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 abs/2201.09329 (2022) - [i3]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) - 2021
- [i2]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 abs/2103.16664 (2021) - 2020
- [i1]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 abs/2012.03891 (2020)
Coauthor Index
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