Phase separation of chemokinetic active particles

Autor: Kwon, Euijoon, Oh, Yongjae, Baek, Yongjoo

Motility-induced phase separation (MIPS) is a well-studied nonequilibrium collective phenomenon observed in active particles. Recently, there has been growing interest in how coupling the self-propulsion of active particles to chemical degrees of fre

Externí odkaz: http://arxiv.org/abs/2407.16676

$\alpha$-divergence Improves the Entropy Production Estimation via Machine Learning

Autor: Kwon, Euijoon, Baek, Yongjoo

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 algorithms is the identification of a loss function whose minimization

Externí odkaz: http://arxiv.org/abs/2303.02901

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α-divergence improves the entropy production estimation via machine learning.

Autor: Kwon E; Department of Physics and Astronomy & Center for Theoretical Physics, Seoul National University, Seoul 08826, Republic of Korea., Baek Y; Department of Physics and Astronomy & Center for Theoretical Physics, Seoul National University, Seoul 08826, Republic of Korea.

Publikováno v: Physical review. E [Phys Rev E] 2024 Jan; Vol. 109 (1-1), pp. 014143.