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Sangyun Lee
Sangyun Lee
Research Fellow, School of physics, KIAS
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Learning entropy production via neural networks
DK Kim, Y Bae, S Lee, H Jeong
Physical Review Letters 125 (14), 140604, 2020
462020
Speed limit for a highly irreversible process and tight finite-time Landauer's bound
JS Lee, S Lee, H Kwon, H Park
Physical Review Letters 129 (12), 120603, 2022
342022
Finite-time quantum Otto engine: Surpassing the quasistatic efficiency due to friction
S Lee, M Ha, JM Park, H Jeong
Physical Review E 101 (2), 022127, 2020
292020
Inertial effects on the Brownian gyrator
Y Bae, S Lee, J Kim, H Jeong
Physical Review E 103 (3), 032148, 2021
192021
Quantumness and thermodynamic uncertainty relation of the finite-time Otto cycle
S Lee, M Ha, H Jeong
Physical Review E 103 (2), 022136, 2021
182021
Quantum mechanical bound for efficiency of quantum Otto heat engine
JM Park, S Lee, HM Chun, JD Noh
Physical Review E 100 (1), 012148, 2019
182019
Multidimensional entropic bound: Estimator of entropy production for Langevin dynamics with an arbitrary time-dependent protocol
S Lee, DK Kim, JM Park, WK Kim, H Park, JS Lee
Physical Review Research 5 (1), 013194, 2023
122023
Nonequilibrium driven by an external torque in the presence of a magnetic field
S Lee, C Kwon
Physical Review E 99 (5), 052142, 2019
82019
Estimating entropy production with odd-parity state variables via machine learning
DK Kim, S Lee, H Jeong
Physical Review Research 4 (2), 023051, 2022
62022
Estimating entanglement entropy via variational quantum circuits with classical neural networks
S Lee, H Kwon, JS Lee
Physical Review E 109 (4), 044117, 2024
22024
Discrete-time thermodynamic speed limit
S Lee, JS Lee, JM Park
arXiv preprint arXiv:2406.17966, 2024
2024
The tightest finite-time Landauer's principle: applications of speed limit
S Lee, JS Lee, H Park, H Kwon
APS March Meeting Abstracts 2023, S02. 007, 2023
2023
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Articles 1–12