Zobrazeno 1 - 10
of 523
pro vyhledávání: '"GHOSH, PULAK"'
We numerically examine the driven transport of an overdamped self-propelled particle through a two-dimensional array of circular obstacles. A detailed analysis of transport quantifiers (mobility and diffusivity) has been performed for two types of ch
Externí odkaz:
http://arxiv.org/abs/2310.09272
Publikováno v:
J. Chem. Phys. 159, 031101 (2023)
We propose a generalization of the stochastic resetting mechanism for a Brownian particle diffusing in a one-dimensional periodic potential: randomly in time, the particle gets reset at the bottom of the potential well it was in. Numerical simulation
Externí odkaz:
http://arxiv.org/abs/2307.06202
Publikováno v:
J. Phys. Chem. C 2020, 124, 34, 18747
It is often desirable to know the controlling mechanism of survival probability of nano - or microscale particles in small cavities such as, e.g., confined submicron particles in fiber beds of high-efficiency filter media or ions/small molecules in c
Externí odkaz:
http://arxiv.org/abs/2303.16092
Publikováno v:
J. Phys. Chem. Lett. 2022, 13, 11413
Self-propelled Janus particles exhibit autonomous motion thanks to engines of their own. However, due to randomly changing direction of such motion they are of little use for emerging nano-technological and bio-medical applications. Here, we numerica
Externí odkaz:
http://arxiv.org/abs/2303.14698
Publikováno v:
J. Chem. Sci., 2023
We numerically study structure and dynamics of single files composed of active particles, as well as, active-passive binary mixtures. Our simulation results show that when the persistent length of self-propelled particles is much larger than the aver
Externí odkaz:
http://arxiv.org/abs/2303.07843
Autor:
Agarwal, Sumit1 (AUTHOR), Ghosh, Pulak2 (AUTHOR), Li, Jing3 (AUTHOR), Ruan, Tianyue1 (AUTHOR) tianyue.ruan@nus.edu.sg
Publikováno v:
Review of Financial Studies. Aug2024, Vol. 37 Issue 8, p2550-2585. 36p.
Machine learning has become more important in real-life decision-making but people are concerned about the ethical problems it may bring when used improperly. Recent work brings the discussion of machine learning fairness into the causal framework an
Externí odkaz:
http://arxiv.org/abs/2202.12440
Publikováno v:
J. Chem. Phys. (2021)
We numerically investigate the mean exit time of an inertial active Brownian particle from a circular cavity with single or multiple exit windows. Our simulation results witness distinct escape mechanisms depending upon the relative amplitudes of the
Externí odkaz:
http://arxiv.org/abs/2111.01324
Brownian particles suspended in disordered crowded environments often exhibit non-Gaussian normal diffusion (NGND), whereby their displacements grow with mean square proportional to the observation time and non-Gaussian statistics. Their distribution
Externí odkaz:
http://arxiv.org/abs/2101.06875
Publikováno v:
In Energy Economics March 2024 131