Litcius/Paper detail

Pushing Forward Simulation Techniques of Ion Transport in Ion Conductors for Energy Materials

Pieremanuele Canepa

2022ACS Materials Au11 citationsDOIOpen Access PDF

Abstract

Simulation techniques are crucial to establish a firm link between phenomena occurring at the atomic scale and macroscopic observations of functional materials. Importantly, extensive sampling of space and time scales is paramount to ensure good convergence of physically relevant quantities to describe ion transport in energy materials. Here, a number of simulation methods to address ion transport in energy materials are discussed, with the pros and cons of each methodology put forward. Emphasis is given to the stochastic nature of results produced by kinetic Monte Carlo, which can adequately account for compositional disorder across multiple sublattices in solids.

Topics & Concepts

Statistical physicsMonte Carlo methodConvergence (economics)IonScale (ratio)Kinetic energyKinetic Monte CarloIon transporterEnergy (signal processing)Sampling (signal processing)Computer scienceNanotechnologyPhysicsMaterials scienceClassical mechanicsMathematicsStatisticsComputer visionEconomic growthFilter (signal processing)EconomicsQuantum mechanicsMachine Learning in Materials ScienceAdvancements in Battery MaterialsFuel Cells and Related Materials