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pro vyhledávání: '"Park, Su Chan"'
Autor:
Park, Su-Chan
We seek for the physical implication of principal component analysis (PCA) applied to lattice systems with phase transitions, especially when the system is translationally invariant. We present a general approximate formula for a principal component
Externí odkaz:
http://arxiv.org/abs/2410.22682
Autor:
Park, Su-Chan, Park, Hyunggyu
Publikováno v:
Phys. Rev. E 110 (2024) 034216
The asymptotic scaling behavior of the Kuramoto model with finite populations has been notably elusive, despite comprehensive investigations employing both analytical and numerical methods. In this paper, we explore the Kuramoto model with ``determin
Externí odkaz:
http://arxiv.org/abs/2406.18904
We investigate two stochastic models of a growing population subject to selection and mutation. In our models each individual carries a fitness which determines its mean offspring number. Many of these offspring inherit their parent's fitness, but so
Externí odkaz:
http://arxiv.org/abs/2212.02631
Autor:
Park, Su-Chan
We study absorbing phase transitions in the one-dimensional branching annihilating random walk with long-range repulsion. The repulsion is implemented as hopping bias in such a way that a particle is more likely to hop away from its closest particle.
Externí odkaz:
http://arxiv.org/abs/2009.02920
Autor:
Park, Su-Chan
Publikováno v:
Phys. Rev. E 102, 042112 (2020)
We study the annihilating random walk with long-range interaction in one dimension. Each particle performs random walks on a one-dimensional ring in such a way that the probability of hopping toward the nearest particle is $W= [1 - \epsilon (x+\mu)^{
Externí odkaz:
http://arxiv.org/abs/2007.08748
Autor:
Park, Su-Chan
Publikováno v:
Phys. Rev. E 101, 052125 (2020)
We introduce and numerically study the branching annihilating random walks with long-range attraction (BAWL). The long-range attraction makes hopping biased in such a manner that particle's hopping along the direction to the nearest particle has larg
Externí odkaz:
http://arxiv.org/abs/2003.02434
Publikováno v:
J. Phys. A: Math. Theor. 53, 385601 (2020)
Fisher's geometric model describes biological fitness landscapes by combining a linear map from the discrete space of genotypes to an $n$-dimensional Euclidean phenotype space with a nonlinear, single-peaked phenotype-fitness map. Genotypes are repre
Externí odkaz:
http://arxiv.org/abs/2002.10849
Autor:
Park, Su-Chan
Publikováno v:
Phys. Rev. E 101, 052103 (2020)
We introduce branching annihilating attracting walk (BAAW) in one dimension. The attracting walk is implemented by a biased hopping in such a way that a particle prefers hopping to a nearest neighbor located on the side where the nearest particle is
Externí odkaz:
http://arxiv.org/abs/2002.03348
Autor:
Park, Su-Chan
Publikováno v:
Phys. Rev. E 101, 052114 (2020)
Via extensive Monte Carlo simulations along with systematic analyses of corrections to scaling, we estimate the order parameter critical exponent $\beta$ of absorbing phase transitions in systems with two symmetric absorbing states. The value of $\be
Externí odkaz:
http://arxiv.org/abs/2002.03143
Publikováno v:
PLoS Comput Biol 15(8): e1006884 (2019)
Mutational robustness quantifies the effect of random mutations on fitness. When mutational robustness is high, most mutations do not change fitness or have only a minor effect on it. From the point of view of fitness landscapes, robust genotypes for
Externí odkaz:
http://arxiv.org/abs/1902.07303