background pattern

MS Mobility

Atomistic simulation and analysis of charge mobility in solid-state films of organic semiconductors

Materials Science: Mobility

Overview

MS Mobility utilizes Marcus rate theory and kinetic Monte Carlo (KMC) approach to analyze factors affecting charge mobility in amorphous and crystalline solids. The module automatically analyzes provided solid morphology and calculates all necessary quantum mechanical parameters. The calculated parameters are passed into the KMC calculations or stored for further calculations and analysis.

Key Capabilities

Check mark icon
Predict charge carrier mobility for molecular semiconductors
Check mark icon
Calculate electron and hole hopping rates based on Marcus theory
Check mark icon
Analyze how critical theory parameters such as site and reorganization energies and coupling integrals are affected by molecular film morphology
Check mark icon
Analyze mobility as function of field direction, temperature, and charge carrier concentration
Check mark icon
Allow visualization of most probable charge trajectories and trap sites and their relation to a local morphology

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.

Organic Electronics
Catalysis & Reactivity
Energy Capture & Storage
Thin Film Processing
dark theme background

Related Products

Learn more about the related computational technologies available to progress your research projects.

Jaguar

Quantum mechanics solution for rapid and accurate prediction of molecular structures and properties

MS Maestro

Complete modeling environment for your materials discovery

MS Dielectric

Automatic workflow to calculate dielectric properties and refractive index

MS Penetrant Loading

Molecular dynamics (MD) modeling for predicting water loading and small molecule gas adsorption capacity of a condensed system

MS Morph

Efficient modeling tool for organic crystal habit prediction

QSite

High-performance QM/MM program

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.