Gerbrand Ceder
Orcid: 0000-0001-9275-3605
According to our database1,
Gerbrand Ceder
authored at least 16 papers
between 2006 and 2024.
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Bibliography
2024
AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories.
CoRR, 2024
Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning.
CoRR, 2024
2023
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling.
Nat. Mac. Intell., September, 2023
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3.
CoRR, 2023
CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling.
CoRR, 2023
Inorganic synthesis recommendation by machine learning materials similarity from scientific literature.
CoRR, 2023
2022
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science.
Patterns, 2022
J. Open Source Softw., 2022
Structured information extraction from complex scientific text with fine-tuned large language models.
CoRR, 2022
ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols.
CoRR, 2022
2021
A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra.
CoRR, 2021
2020
CoRR, 2020
2019
Unsupervised word embeddings capture latent knowledge from materials science literature.
Nat., 2019
Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature.
J. Chem. Inf. Model., 2019
2012
Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
2006
PLoS Comput. Biol., 2006