Gerbrand Ceder

23 papers Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MATRIX: A Multimodal Benchmark and Post-Training Framework for Materials Science. CoRR Delia McGrath, Curtis Chong, Rohil Kulkarni, Gerbrand Ceder, Adeesh Kolluru
2025	J	`jnl`	A practical guide to machine learning interatomic potentials - Status and future. CoRR Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik, Gerbrand Ceder, Kamal Choudhary, Gábor Csányi, Ekin Dogus Cubuk, Bowen Deng, Ralf Drautz, Xiang Fu, Jonathan Godwin, Vasant G. Honavar, Olexandr Isayev, Anders Johansson, Boris Kozinsky, Stefano Martiniani, Shyue Ping Ong, Igor Poltavsky, K. J. Schmidt, So Takamoto, Aidan Thompson, Julia Westermayr, Brandon M. Wood
2025	J	`jnl`	CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and Evolution. CoRR Xu Huang, Junwu Chen, Yuxing Fei, Zhuohan Li, Philippe Schwaller, Gerbrand Ceder
2025	J	`jnl`	Cross-functional transferability in universal machine learning interatomic potentials. CoRR Xu Huang, Bowen Deng, Peichen Zhong, Aaron D. Kaplan, Kristin A. Persson, Gerbrand Ceder
2025	J	`jnl`	Dara: Automated multiple-hypothesis phase identification and refinement from powder X-ray diffraction. CoRR Yuxing Fei, Matthew J. McDermott, Christopher L. Rom, Shilong Wang, Gerbrand Ceder
2025	J	`jnl`	DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials. CoRR Kevin Han, Bowen Deng, Amir Barati Farimani, Gerbrand Ceder
2025	J	`jnl`	Generative models for crystalline materials. CoRR Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich
2024	J	`jnl`	AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories. CoRR 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
2024	J	`jnl`	Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning. CoRR Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand, Zhuohan Li, KyuJung Jun, Kristin A. Persson, Gerbrand Ceder
2023	J	`jnl`	CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling. Nat. Mac. Intell. Bowen Deng, Peichen Zhong, KyuJung Jun, Janosh Riebesell, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
2023	J	`jnl`	CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling. CoRR Bowen Deng, Peichen Zhong, KyuJung Jun, Kevin Han, Christopher J. Bartel, Gerbrand Ceder
2023	J	`jnl`	Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3. CoRR Nicholas Walker, John Dagdelen, Kevin Cruse, Sanghoon Lee, Samuel Gleason, Alexander Dunn, Gerbrand Ceder, A. Paul Alivisatos, Kristin A. Persson, Anubhav Jain
2023	J	`jnl`	Inorganic synthesis recommendation by machine learning materials similarity from scientific literature. CoRR Tanjin He, Haoyan Huo, Christopher J. Bartel, Zheren Wang, Kevin Cruse, Gerbrand Ceder
2022	J	`jnl`	Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science. Patterns Amalie Trewartha, Nicholas Walker, Haoyan Huo, Sanghoon Lee, Kevin Cruse, John Dagdelen, Alexander Dunn, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain
2022	J	`jnl`	Structured information extraction from complex scientific text with fine-tuned large language models. CoRR Alexander Dunn, John Dagdelen, Nicholas Walker, Sanghoon Lee, Andrew S. Rosen, Gerbrand Ceder, Kristin A. Persson, Anubhav Jain
2022	J	`jnl`	ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols. CoRR Zheren Wang, Kevin Cruse, Yuxing Fei, Ann Chia, Yan Zeng, Haoyan Huo, Tanjin He, Bowen Deng, Olga Kononova, Gerbrand Ceder
2022	J	`jnl`	smol: A Python package for cluster expansions and beyond. J. Open Source Softw. Luis Barroso-Luque, Julia H. Yang, Fengyu Xie, Tina Chen, Ronald L. Kam, Zinab Jadidi, Peichen Zhong, Gerbrand Ceder
2021	J	`jnl`	A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra. CoRR Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng, Qingsong Tu, Gerbrand Ceder
2020	J	`jnl`	COVIDScholar: An automated COVID-19 research aggregation and analysis platform. CoRR Amalie Trewartha, John Dagdelen, Haoyan Huo, Kevin Cruse, Zheren Wang, Tanjin He, Akshay Subramanian, Yuxing Fei, Benjamin Justus, Kristin A. Persson, Gerbrand Ceder
2019	J	`jnl`	Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature. J. Chem. Inf. Model. Leigh Weston, Vahe Tshitoyan, John Dagdelen, Olga Kononova, Amalie Trewartha, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain
2019	J	`jnl`	Unsupervised word embeddings capture latent knowledge from materials science literature. Nat. Vahe Tshitoyan, John Dagdelen, Leigh Weston, Alexander Dunn, Ziqin Rong, Olga Kononova, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain
2012	—	`conf`	Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project. SC Companion Dan Gunter, Shreyas Cholia, Anubhav Jain, Michael Kocher, Kristin A. Persson, Lavanya Ramakrishnan, Shyue Ping Ong, Gerbrand Ceder
2006	J	`jnl`	Ultra-Fast Evaluation of Protein Energies Directly from Sequence. PLoS Comput. Biol. Gevorg Grigoryan, Fei Zhou, Steve R. Lustig, Gerbrand Ceder, Dane Morgan, Amy E. Keating