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Gerbrand Ceder

1 articles · 9 co-authors · latest: 2025-03-05
1,404 citations · h-index 15 · 65 papersData: Semantic Scholar
Tsz Wai Ko · Bowen Deng · Marcel Nassar · Luis Barroso-Luque · Runze Liu · Ji Qi · Elliott Liu · Santiago Miret · Shyue Ping Ong

We have retold 1 papers by this author. 1 of them with a full read. most often about: Generative Adversarial Networks, graph_neural_network. 9 co-authors across our retellings.

dataset · deep learning in medical imaging · generative model · graph neural network · graphite · Graphs · Large Language Models · machine learned interatomic potential · machine learning materials · materials science · medical image to genomic mapping · molecular property prediction · neural network crystal imaging · neural network physics modeling · protein language model · Generative Adversarial Networks
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Materials2025-03-053 minarXiv:2503.03837
A Swiss Army Knife for Graph Neural Networks in Materials Science
A Swiss Army knife is simple: one handle, many blades, each for its own task. Grab what you need and get to work. In materials science, graph neural networks have long resembled a scattered set of tools: MEGNet sat in the TensorFlow drawer, M3GNet in the PyTorch drawer, and CHGNet in a separate box with its own scripts.
Tsz Wai Ko·Bowen Deng·Marcel Nassar·Luis Barroso-Luque·Runze Liu·Ji Qi·Elliott Liu·Gerbrand Ceder·Santiago Miret·Shyue Ping Ong
Generative Adversarial Networksgraph neural network
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