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20122023
most citedData-driven parameterization of the generalized Langevin equation

152 citations · 506 across the 51 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

math.NA2016★ 6 cited

A Parameter Estimation Method Using Linear Response Statistics

John Harlim, Xiantao Li, He Zhang

This paper presents a new parameter estimation method for Itô diffusions such that the resulting model predicts the equilibrium statistics as well as the sensitivities of the under…

physics.comp-ph2016★ 152 cited

Data-driven parameterization of the generalized Langevin equation

Huan Lei, Nathan Baker, Xiantao Li

We present a data-driven approach to determine the memory kernel and random noise in generalized Langevin equations. To facilitate practical implementations, we parameterize the ke…

math.NA2016★ 12 cited

From Generalized Langevin Equations to Brownian Dynamics and Embedded Brownian Dynamics

Lina Ma, Xiantao Li, Chun Liu

We present the reduction of generalized Langevin equations to a coordinate-only stochastic model, which in its exact form, involves a forcing term with memory and a general Gaussia…

physics.comp-ph2016★ 1 cited

PEXSI-: A Green's function embedding method for Kohn-Sham density functional theory

Xiantao Li, Lin Lin, Jianfeng Lu

In this paper, we propose a new Green's function embedding method called PEXSI- for describing complex systems within the Kohn-Sham density functional theory (KSDFT) framework,…

math.NA2016★ 43 cited

The Derivation and Approximation of Coarse-grained Dynamics from Langevin Dynamics

Lina Ma, Xiantao Li, Chun Liu

We present a derivation of a coarse-grained model from the Langevin dynamics. The focus is placed on the memory kernel function and the fluctuation-dissipation theorem. Also presen…