1 citations · 1 across the 5 of their papers we have counts for
5 papers
Quantifying information flow along a stochastic trajectory
Yongjae Oh, Euijoon Kwon, Yongjoo Baek
Stochastic information flow (SIF) quantifies information flow at the trajectory level, overcoming the limitations of conventional symmetric, ensemble-averaged measures. However, co…
Thermodynamically consistent lattice Monte Carlo method for active particles
Ki-Won Kim, Euijoon Kwon, Yongjoo Baek
Recent years have seen a growing interest in the thermodynamic cost of dissipative structures formed by active particles. Given the strong finite-size effects of such systems, it i…
Phase separation of chemokinetic active particles
Euijoon Kwon, Yongjae Oh, Yongjoo Baek
Motility-induced phase separation (MIPS) is a well-studied nonequilibrium collective phenomenon observed in active particles. Recently, there has been growing interest in how coupl…
Unified Hierarchical Relationship Between Thermodynamic Tradeoff Relations
Euijoon Kwon, Jong-Min Park, Jae Sung Lee +1
Recent years have witnessed a surge of discoveries in the studies of thermodynamic inequalities: the thermodynamic uncertainty relation (TUR) and the entropic bound (EB) provide a…
-divergence Improves the Entropy Production Estimation via Machine Learning
Euijoon Kwon, Yongjoo Baek
Recent years have seen a surge of interest in the algorithmic estimation of stochastic entropy production (EP) from trajectory data via machine learning. A crucial element of such…