activity
20182022
most citedInvestigating the integrate and fire model as the limit of a random discharge model: a stochastic analysis perspective

3 citations · 11 across the 7 of their papers we have counts for

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7 papers · 1 filter

math.NA2021

Fast Algorithms and Error Analysis of Caputo Derivatives with Small Factional Orders

Zihang Zhang, Qiwei Zhan, Zhennan Zhou

In this paper, we investigate fast algorithms in the small fraction order regime to approximate the Caputo derivative when is small. We focus on two fast algori…

math.NA2021

A novel spectral method for the semi-classical Schrödinger equation based on the Gaussian wave-packet transform

Borui Miao, Giovanni Russo, Zhennan Zhou

In this article, we develop and analyse a new spectral method to solve the semi-classical Schrödinger equation based on the Gaussian wave-packet transform (GWPT) and Hagedorn's sem…

math.NA2020

A unified structure preserving scheme for a multi-species model with a gradient flow structure and nonlocal interactions via singular kernels

Yong Zhang, Yu Zhao, Zhennan Zhou

In this paper, we consider a nonlinear and nonlocal parabolic model for multi-species ionic fluids and introduce a semi-implicit finite volume scheme, which is second order accurat…

math.NA2020

Multi-level Monte Carlo path integral molecular dynamics for thermal average calculation in the nonadiabatic regime

Xiaoyu Lei, Zhennan Zhou

With the path integral approach, the thermal average in a multi-electronic-state quantum systems can be approximated by the ring polymer representation on an extended configuration…

math.NA2019

A structure preserving numerical scheme for Fokker-Planck equations of neuron networks: numerical analysis and exploration

Jingwei Hu, Jian-Guo Liu, Yantong Xie +1

In this work, we are concerned with the Fokker-Planck equations associated with the Nonlinear Noisy Leaky Integrate-and-Fire model for neuron networks. Due to the jump mechanism at…

math.NA2019

The Bayesian Inversion Problem for Thermal Average Sampling of Quantum Systems

Ziheng Chen, Zhennan Zhou

In this article, we propose a novel method for sampling potential functions based on noisy observation data of a finite number of observables in quantum canonical ensembles, which…