Gerbrand Ceder

Lawrence Berkeley National Laboratory — United States

Engineering · Physical Sciences

166h-index122.2kcitations1.1kworks14.12yr avg
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Research Topics

Advancements in Battery Materials(489), Advanced Battery Materials and Technologies(350), Machine Learning in Materials Science(200), Advanced Battery Technologies Research(117), X-ray Diffraction in Crystallography(81)

Publications1.1k total

Dara: Automated Multiple-Hypothesis Phase Identification and Refinement from Powder X-ray Diffraction
Chemistry of Materials·2026Open Access
Text-mined dataset of solid-state syntheses with impurity phases using Large Language Model
Scientific Data·2025· 1 citedOpen Access
Hierarchical high-throughput screening of alkaline-stable lithium-ion conductors combining machine learning and first-principles calculations
arXiv (Cornell University)·2025Open Access
Calibrating Thermodynamic Models to Experimental Conditions for Accurate Solid State Synthesis Prediction
ECS Meeting Abstracts·2025
An Autonomous Laboratory for High-Throughput Air-Sensitive Material Discovery for All-Solid-State Batteries
ECS Meeting Abstracts·2025
Autonomous Solid-State Synthesis of NASICON -Type Na-Ion Conductor
ECS Meeting Abstracts·2025
Development of Next Generation DRX Cathodes through the Lenses of Electron Microscopes
ECS Meeting Abstracts·2025
Rightsizing AI Models and Datasets for Materials Design
ECS Meeting Abstracts·2025
Superionic Alkali Diffusion in Amorphous Oxyhalide Solid-State Conductors
ECS Meeting Abstracts·2025
Understanding the Cathode Electrochemistry of Humidified Solid‐State Lithium‐Oxygen Batteries
Advanced Energy Materials·2025
Microscopic Mechanisms of Superionic Na-ion Conductivity in Crystalline and Amorphous NaMOCl4 (M = Nb, Ta) Solid Electrolytes
2025· 1 cited
TorchSim: an efficient atomistic simulation engine in PyTorch
AI for Science·2025· 3 citedOpen Access
Cross-functional transferability in foundation machine learning interatomic potentials
npj Computational Materials·2025· 2 citedOpen Access
Harnessing Automated SEM-EDS and Machine Learning to Unlock High-Throughput Compositional Characterization of Powder Materials
2025Open Access
Modeling phase transformations in Mn-rich disordered rocksalt cathodes with machine-learning interatomic potentials
Physical Review Materials·2025· 1 cited
Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation
npj Computational Materials·2025· 1 citedOpen Access
Defect-Mediated Diffusion Pathways in Spodumene Accelerate Lithium Transport
ACS Materials Letters·2025Open Access
Author Correction: A framework to evaluate machine learning crystal stability predictions
Nature Machine Intelligence·2025· 1 citedOpen Access
Synthetic Accessibility and Sodium Ion Conductivity of the Na<sub>8–<i>x</i></sub>A<sup><i>x</i></sup>P<sub>2</sub>O<sub>9</sub> (NAP) High-Temperature Sodium Superionic Conductor Framework
Chemistry of Materials·2025· 1 cited
Investigating the Degradation of LATP Solid Electrolyte in High Alkaline Li-$O_2$ Batteries
arXiv (Cornell University)·2025· 1 citedOpen Access
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Frequent Co-authors

Anubhav Jain(13), Kristin A. Persson(13), Shyue Ping Ong(11), Geoffroy Hautier(10), William D. Richards(6), Rahul Malik(6), Dong‐Hwa Seo(4), Kisuk Kang(4), Lincoln J. Miara(4), Jae Chul Kim(4), Haegyeom Kim(4), Zhengyan Lun(4), Ziqin Rong(4), Charles Moore(4), Vincent Chevrier(3), Xiaohua Ma(3), Yan Wang(3), Jinhyuk Lee(3), Alexander Urban(3), Yifei Mo(3)