MS Reactive Interface Simulator

Generate physically relevant electrode-electrolyte interface morphologies for batteries

MS Reactive Interface Simulator

Overview

MS Reactive Interface Simulator enables rapid modeling of solid electrolyte interphase (SEI) nucleation and growth in batteries using a template-based reaction approach, and offers atomistic insights into the composition and morphology of this complex battery component. Coupled with Desmond, Schrödinger’s high-speed GPU-based molecular dynamics (MD) engine, and the OPLS force field, MS Reactive Interface Simulator facilitates efficient analysis of electrolyte chemistries by generation of realistic SEI morphologies.

Key Capabilities

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Accelerate physically realistic SEI formation with GPU-accelerated MD
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Execute reactions using predetermined templates
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Enable exploration of multiple chemistries under varying conditions with SMARTS based reaction templates
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Employ advanced analysis tools to characterize morphology and understand the properties of the SEI layer

Related Resources

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Broad applications across
materials science research areas

Get more from your ideas by harnessing the power of large-scale chemical exploration
and accurate in silico molecular prediction.

Polymeric Materials
Catalysis & Reactivity
Energy Capture & Storage

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Materials Science
Machine learning force field ranking of candidate solid electrolyte interphase structures in Li-ion batteries
Materials Science
Chemical reaction networks explain gas evolution mechanisms in Mg-Ion batteries
Life Science
Accurate quantum chemical reaction energies for lithium-mediated electrolyte decomposition and evaluation of density functional approximations
Materials Science
Elementary Decomposition Mechanisms of Lithium Hexafluorophosphate in Battery Electrolytes and Interphases

Training & Resources

Online certification courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.