S. Choi, J. Sah, S. Ra, C. Yang, J.-H. Lee, T. Song*, M. Jo*, H. K. Choi* and S. An, Multiscale analysis of oxidized damage in hair fibers: From AFM nanomechanics to AI-based degradation modeling, VIEW 20250079 (2025)
W. S. Lee, T. Song, K.-M. Kim, Deep learning methods for Hamiltonian parameter estimation and magnetic domain image generation in twisted van der Waals magnets, Machine Learning: Science and Technology 5, 025073 (2024)
N. Myoung*, T. Song* and H. C. Park, Detecting strain effects due to nanobubbles in graphene Mach-Zehnder interferometers, Physica Status Solidi B, 2300379 (2024)
T. Song*, Y. Choi*, J.-H. Jeon and Y.-K. Cho, A machine learning approach to discover migration modes and transition dynamics of heterogeneous dendritic cells Frontiers in Immunology 14, 1321 (2023)
T. Song*, N. Myoung*, H. C. Park, and H. Lee, Machine learning approach to recognization of a nanobubble in graphene, Applied Physics Letters, 119, 193103 (2021)
G. Munoz-Gil, et. al., Objective comparison of methods to decode anomalous diffusion, Nature Communications, 12, 6253 (2021)
W. S. Lee, J. Jo, and T. Song, Machine learning for the diagnosis of early-stage diabetes using temporal glucose profile, Journal of the Korean Physical Society, 78, 373 (2021)
T. Song, H. Kim, S.-W. Son and J. Jo, Synchronization of active rotators interacting with environment, Physical Review E, 101, 022613 (2020)
J. Um*, T. Song*, and J.-H. Jeon, Langevin dynamics driven by a telegraphic active noise, Frontiers in Physics, 7, 143 (2019)
T. Song and H. Lee, Accelerated continuous-time quantum Monte Carlo method with machine learning, Physical Review B, 100, 045153 (2019)
T. Song and J. Jo, Tripatite cell network for glucose homeostasis, Physical Biology, 15, 051001 (2019)
E. Um, J. M. Oh, J. Park, T. Song, et. al., Immature dendritic cells navigate microscopic mase to find tumor cells, Lab on a Chip, 19, 1665 (2019)
D.-H. Park*, T. Song*, D.-T. Hoang, J. Xu, and J. Jo, A local counter-regulatory motif modulates the global phase of hormonal oscillations, Scientific Reports, 7, 1602 (2017)
B. Lee, T. Song, K. Lee, et. al., Insulin modulates the frequency of Ca2+ oscillations in mouse pancreatic islets, PLoS ONE, 12(8): e0183569 (2017)
B. Lee, T. Song, K. Lee, et. al., Phase modulation of insulin pulses enhances glucose regulation and enables inter-islet synchronization, PLoS ONE, 12(e):20172901 (2017)
T. Song*, W. S. Lee*, and K.-H. Ahn, Physical limits to auditory transduction of hair-cell bundles probed by a biomimetic system, Scientific Reports, 5, 11470 (2015)
T. Song, L. Y. Gorelik, R. I. Shekhter, M. N. Kiselev, and K. Kikoin, Shuttle-promoted nano-mechanical switch, Applied Physics Letters, 107, 123104 (2015)
T. Song, M. N. Kiselev, K. Kikoin, R. I. Shekhter, and L. Y. Gorelik, Self-sustained oscillations in nanoelectromechanical systems induced by Kondo resonance, New Journal of Physics, 16, 033043 (2014)
T. Song, and K.-H. Ahn, Ferromagnetically coupled magnetic impurities in a quantum point contact, Physical Review Letters, 106, 057203 (2011)
H. Kim, T. Song, and K.-H. Ahn, Sharply tuned small force measurement with a biomimetic sensor, Applied Physics Letters, 98, 013702 (2011)
T. Song, and K.-H. Ahn, Exact-diagonalization study of magnetic impurity states in a quantum point contact, AIP conference proceedings, 1399, 385 (2011)
T. Song, H. C. Park, and K.-H. Ahn, Proposal for high sensitivity force sensor inspired by auditory hair cells, Applied Physics Letters, 95, 013702 (2009)