activity
20182020
most citedLévy walk dynamics in an external harmonic potential

23 citations · 33 across the 2 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech202010 cited

Lévy walk dynamics in mixed potentials from the perspective of random walk theory

Tian Zhou, Pengbo Xu, Weihua Deng

Lévy walk process is one of the most effective models to describe superdiffusion, which underlies some important movement patterns and has been widely observed in the micro and mac…

cond-mat.stat-mech202023 cited

Lévy walk dynamics in an external harmonic potential

Pengbo Xu, Tian Zhou, Ralf Metzler +1

Lévy walks (LWs) are spatiotemporally coupled random-walk processes describing superdiffusive heat conduction in solids, propagation of light in disordered optical materials, motio…

cond-mat.stat-mech2019

Continuous time random walks and Lévy walks with stochastic resetting

Tian Zhou, Pengbo Xu, Weihua Deng

Intermittent stochastic processes appear in a wide field, such as chemistry, biology, ecology, and computer science. This paper builds up the theory of intermittent continuous time…

cond-mat.stat-mech2019

Lévy walk revisited: Hermite polynomial expansion approach

Pengbo Xu, Weihua Deng, Trifce Sandev

Integral transform method (Fourier or Laplace transform, etc) is more often effective to do the theoretical analysis for the stochastic processes. However, for the time-space coupl…

cond-mat.stat-mech2018

Levy walk with multiple internal states

Pengbo Xu, Weihua Deng

Levy walk is a fundamental model with applications ranging from quantum physics to paths of animal foraging. Taking animal foraging as an example, a natural idea that comes to one'…

cond-mat.stat-mech2018

Models for characterizing the transition among anomalous diffusions with different diffusion exponents

Trifce Sandev, Weihua Deng, Pengbo Xu

Based on the theory of continuous time random walks (CTRW), we build the models of characterizing the transitions among anomalous diffusions with different diffusion exponents, oft…