Expedite organic electronics R&D with molecular simulation and machine learning

Published: Mon, 04/29/24

Updated: Thu, 05/02/24

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Hi Colleague,

Industry innovators such as Panasonic, Samyang , and Samsung are adopting Schrödinger’s digital chemistry platform to drive innovation in their organic electronics R&D.

Explore our case studies and resources to learn how to leverage physics-based modeling and machine learning to identify novel materials for organic electronics, optimize device efficiency and fabrication, and extend device lifetime.

Will you be at SID Display Week on May 12–17? Join our free workshops!

On Wednesday, May 15th we will be hosting a workshop in meeting room 213. Schrödinger experts will walk through guided demos and help you gain hands-on experience in how to use digital simulations to expedite your organic electronics R&D.

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Visit us at Booth 1634 or contact us at ryan.kulpins@schrodinger.com to schedule a meeting at the conference.

Webinar: Learn more from our recent webinar on how to leverage physics-based modeling and machine learning to design and optimize OLED materials.

White paper: Learn how to combine molecular modeling, machine learning, and enterprise informatics to design better OLED materials and devices.

New to molecular modeling? Explore our online course in organic electronics to help you get started.

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