Sanggyu Chong

11PUBLICATIONS
112CO-AUTHORS
Theoretical quantum chemistryStatistical mechanics, physical combinatorics and mathematical aspects of condensed matterDeep learningComputational chemistryAdversarial machine learning
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Publications (11)

|Mar 12, 2026
A universal machine learning model for the electronic density of states.

Wei Bin How, Pol Febrer, Sanggyu Chong

|Feb 13, 2026
Resolving the body-order paradox of machine learning interatomic potentials.

Sanggyu Chong, Tong Jiang, Michelangelo Domina

|Feb 11, 2026
metatensor and metatomic: Foundational libraries for interoperable atomistic machine learning.

Filippo Bigi, Joseph W Abbott, Philip Loche

|Nov 13, 2025
A foundation model for atomistic materials chemistry.

Ilyes Batatia, Philipp Benner, Yuan Chiang

|Sep 15, 2025
Uncertainty in the era of machine learning for atomistic modeling.

Federico Grasselli, Sanggyu Chong, Venkat Kapil

|Sep 25, 2024
Prediction rigidities for data-driven chemistry.

Sanggyu Chong, Filippo Bigi, Federico Grasselli

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Frequent Collaborators

6 joint publications

Michele Ceriotti

5 joint publications

Filippo Bigi

3 joint publications

Jihan Kim

3 joint publications

Matthias Kellner