Case Study: Panasonic accelerates organic semiconductor discovery with Citrine Informatics

A Citrine Informatics Case Study

Preview of the Panasonic Case Study

How Citrine’s Platform Supported Panasonic as It Developed New Organic Semiconductors

Panasonic needed to reduce costs and increase the performance of flexible organic semiconductors for IoT devices, but the vast number of possible molecules made discovery inefficient. They partnered with Citrine Informatics to leverage its AI platform and accelerate the search for high-performance materials.

Citrine's platform used machine learning to create a targeted design space and intelligently guide Panasonic's simulations. This approach led to the discovery of a molecule with a 25% calculated increase in hole mobility. The collaboration resulted in four patent-pending compounds and significant time savings, requiring only 196 simulations to evaluate over a million candidates.


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Panasonic

Nobuyuki Matsuzawa

Panasonic


Citrine Informatics

10 Case Studies