GA Optoelectronics
Design solution for novel molecular materials in optoelectronic applications based on a generative algorithm
Overview
GA Optoelectronics enables the generation of novel chemical space for molecular materials with desired properties for optoelectronic applications via a genetic algorithm. The optoelectronics capabilities are designed to leverage rapid screening to complement experimental development by elucidating molecular properties and informing future synthetic targets.
Key Capabilities
Generate a library of compounds within the target property space with genetic optimization
Account for multiple properties when optimizing molecular structures (e.g redox potential, excited state energies or any experimental properties)
Design new and diverse structures using density functional theory (DFT) calculations or pre-built machine learning models
Explore structural mutations (element, fragment, isoelectronic) within basic molecular design constraints (number of atoms, molecular weight)
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
Complex Formulations
Energy Capture & Storage
Organic Electronics
Consumer Packaged Goods
Catalysis & Reactivity
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Publications
Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.
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.
Other Resources