Portrait of Nayoung Kim

Nayoung Kim

Ph.D. Student · Graduate School of AI, KAIST

I am a Ph.D. student at the Graduate School of AI @ KAIST, advised by Sungsoo Ahn. I am interested in generative models for materials and biomolecules.

News

Feb 6, 2026 Three new preprints uploaded — stay tuned!
Sep 18, 2025 Two papers accepted to NeurIPS 2025, including one spotlight presentation.
Jan 23, 2025 One paper accepted to ICLR 2025.
Jan 13, 2025 One paper accepted to TMLR 2025.
Oct 11, 2024 One paper accepted to NeurIPS 2024 Workshop.

Publications

2026

CatFlow paper thumbnail
Preprint
CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching
Minkyu Kim, Nayoung Kim, Honghui Kim, Sungsoo Ahn
arXiv preprint, 2026
AtomMOF paper thumbnail
Preprint
AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction
Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seongsu Kim, Sungsoo Ahn
arXiv preprint, 2026
Machine Learning Hamiltonians paper thumbnail
Preprint
Machine Learning Hamiltonians are Accurate Energy-Force Predictors
Seongsu Kim, Chanhui Lee, Yoonho Kim, Seongjun Yun, Honghui Kim, Nayoung Kim, Changyoung Park, Sehui Han, Sungbin Lim, Sungsoo Ahn
arXiv preprint, 2026

2025

Flexible MOF paper thumbnail
Poster
Flexible MOF Generation with Torsion-Aware Flow Matching
Nayoung Kim, Seongsu Kim, Sungsoo Ahn
Neural Information Processing Systems (NeurIPS), 2025
@inproceedings{kim2025flexible, title={Flexible MOF Generation with Torsion-Aware Flow Matching}, author={Kim, Nayoung and Kim, Seongsu and Ahn, Sungsoo}, booktitle={Advances in Neural Information Processing Systems}, year={2025}, url={https://openreview.net/forum?id=cLJfumTWLI} }
QHFlow paper thumbnail
Spotlight
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn
Neural Information Processing Systems (NeurIPS), 2025
@inproceedings{kim2025high, title={High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction}, author={Kim, Seongsu and Kim, Nayoung and Kim, Dongwoo and Ahn, Sungsoo}, booktitle={Advances in Neural Information Processing Systems}, year={2025} }
MOFFlow paper thumbnail
Poster
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
International Conference on Learning Representations (ICLR), 2025
@inproceedings{kim2024mofflow, title={MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks}, author={Kim, Nayoung and Kim, Seongsu and Kim, Minsu and Park, Jinkyoo and Ahn, Sungsoo}, booktitle={The Thirteenth International Conference on Learning Representations}, year={2025}, url={https://openreview.net/forum?id=dNT3abOsLo} }
ASSD paper thumbnail
Poster
Decoupled Sequence and Structure Generation for Realistic Antibody Design
Nayoung Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park
Transactions on Machine Learning Research (TMLR), 2025
@article{kim2025decoupled, title={Decoupled Sequence and Structure Generation for Realistic Antibody Design}, author={Kim, Nayoung and Kim, Minsu and Ahn, Sungsoo and Park, Jinkyoo}, journal={Transactions on Machine Learning Research}, year={2025} }

Curriculum Vitae

🎓 Education

Feb 2025 – Present
Ph.D. in Artificial Intelligence
SPML @ KAIST
Feb 2022 – Aug 2024
M.S. in Artificial Intelligence
SILAB @ KAIST
Aug 2017 – Feb 2022
B.S. in Chemical and Biomolecular Engineering
KAIST

💼 Experience

Sep 2024 – Jan 2025
Researcher
ML Lab @ POSTECH
Dec 2019 – Feb 2020
Intern
SK Hynix
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