journal article·2018-04-13

Accelerating rare events and building kinetic Monte Carlo models using temperature programmed molecular dynamics

Abhijit Chatterjee

Journal of Materials Research· Volume 33· Issue 7
Publisher page

Abstract

The temperature programmed molecular dynamics (TPMD) method is a recent addition to the list of rare-event simulation techniques for materials. Study of thermally-activated events that are rare at molecular dynamics (MD) timescales is possible with TPMD by employing a temperature program that raises the temperature in stages to a point where the transitions happen frequently. Analysis of the observed waiting time distribution yields a wealth of information including kinetic mechanisms in the material, their rate constants and Arrhenius parameters. The first part of this review covers the foundations of the TPMD method. Recent applications of TPMD are discussed to highlight its main advantages. These advantages offer the possibility for rapid construction of kinetic Monte Carlo (KMC) models of a chosen accuracy using TPMD. In this regards, the second part focuses on the latest developments on uncertainty measures for KMC models. The third part focuses on current challenges for the TPMD method and ways of resolving them.
Source: expertdata · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Chemical Physics Studies · Machine Learning in Materials Science · Protein Structure and Dynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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