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.
@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}
}
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}
}
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}
}
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}
}