Tae-Geun Kim
Postdoctoral Researcher
Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Fudan University
RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS)
Dark matter phenomenology, AI for Science, and Science of AI
GitHub Scholar ORCID CV LinkedIn Email
7
Publications
27
Software
4
Posts
Recent Publications
Peroxide: A Batteries-Included Numerical Computing Library for Rust
2026
J. Open Source Softw.
Tae-Geun Kim, Giorgio Comitini, Jonas Grage, Benjamin Joens, Marc Schreiber, Soumya Sen, Russell R P Senthamarai, Johanna Sörngård
Scientific ComputingRustOpen Source Software
Abstract: Peroxide is a numerical computing library for Rust that provides linear algebra with BLAS/LAPACK backends, statistical distributions and special functions, numerical integration, ODE solvers, optimization, and a DataFrame with multiple I/O formats behind a single dependency.
@article{kim2026peroxide, title={Peroxide: A Batteries-Included Numerical Computing Library for Rust}, author={Kim, Tae-Geun and Comitini, Giorgio and Grage, Jonas and Joens, Benjamin and Schreiber, Marc and Sen, Soumya and Senthamarai, Russell R P and S{\"o}rng{\aa}rd, Johanna}, journal={Journal of Open Source Software}, volume={11}, number={124}, pages={10366}, year={2026}, doi={10.21105/joss.10366} }
DOI Code
Primordial Black Holes as a Factory of Axions: Extragalactic Photons from Axions
2026
Prog. Theor. Exp. Phys.
Tae-Geun Kim, Jong-Chul Park, Seong Chan Park, Yeji Park
Dark MatterPBHAxion
Abstract: We investigate the extragalactic photon signals produced by axion-like particles emitted from primordial black holes via Hawking radiation.
@article{kim2023primordial, title={Primordial Black Holes as a Factory of Axions: Extragalactic Photons from Axions}, author={Kim, Tae-Geun and Park, Jong-Chul and Park, Seong Chan and Park, Yeji}, journal={Progress of Theoretical and Experimental Physics}, pages={ptag011}, year={2026}, doi={10.1093/ptep/ptag011} }
DOI arXiv
Learning Hamiltonian Dynamics with Bayesian Data Assimilation
2025
arXiv preprint
Taehyeun Kim, Tae-Geun Kim, Anouk Girard, Ilya Kolmanovsky
Machine LearningHamiltonianBayesian
Abstract: We propose a framework combining Hamiltonian neural networks with Bayesian data assimilation for learning dynamical systems.
@article{kim2025learning, title={Learning Hamiltonian Dynamics with Bayesian Data Assimilation}, author={Kim, Taehyeun and Kim, Tae-Geun and Girard, Anouk and Kolmanovsky, Ilya}, journal={arXiv preprint arXiv:2501.18808}, year={2025} }
arXiv
Featured Software
Peroxide
Comprehensive Rust numerical computing library
Rust ★ 722 ↧ 1.3M
NumericLinear AlgebraStatisticsODE
Comprehensive numerical computing library for Rust, providing functionality comparable to NumPy/SciPy. Core infrastructure for scientific computing research. Published in the Journal of Open Source Software (JOSS), 11(124), 10366.
  • Linear algebra with BLAS/LAPACK integration
  • Optimization algorithms (Gradient Descent, Levenberg-Marquardt)
  • Numerical integration & ODE/PDE solvers
  • Statistical distributions & special functions
  • DataFrame with multiple I/O formats
GitHub Docs
Neural Hamilton
Operator learning for Hamiltonian mechanics
Python ★ 14
Operator LearningHamiltonianNeural ODE
Official implementation of operator learning for Hamiltonian mechanics. Explores whether AI can truly understand physical dynamics.
  • Four neural architectures (DeepONet, TraONet, VaRONet, MambONet)
  • Novel potential generation via Gaussian Random Fields
  • Multi-language (Python, Rust, Julia)
GitHub
Puruspe
Pure Rust special functions library
Rust ★ 29 ↧ 1.3M
Special FunctionsMathematics
Pure Rust implementation of mathematical special functions for scientific computing.
  • Gamma, Beta, Error functions
  • Regularized and inverse variants
  • No external dependencies
GitHub Docs
Honors & Fellowships
APS DCOMP Travel/Registration Award
2026
APS Division of Computational Physics, CCP2026
Shanghai Superpostdoc Fellowship
2025–2027
Shanghai Municipal Government
Fudan Superpostdoc Fellowship
2025–2027
Fudan University
Academy Research Fellowship
2022–2023
Yonsei University
Best Oral Presentation Award
2022
KPS 70th Anniversary and 2022 Fall Meeting