Experimental evidence of record-breaking solid electrolyte discovered by machine learning
Published on
ACS Publications

Using next-generation compute to design next-generation materials.
We use artificial intelligence and physics-based simulation to design new, customized electrolytes for high performance electrochemical systems: electric vehicle and aerospace batteries, long-duration energy storage systems, decarbonized manufacturing, and more.
We screen billions of formulations to find the best candidates for achieving your desired performance profile.
Let’s discover and commercialize promising new materials together.
We work with trusted chemical partners to secure supply for your new formulations.
Driving cleaner, smarter progress across every sector we touch.
Unlocking customized battery performance for electric vehicles.
Ensuring maximum safety with high power for aviation applications.
Powering the zero-carbon manufacturing revolution.
Optimizing device batteries for the optimal user experience.
Maximizing long-term durability.
Creating thermally stable and durable electrolyte solutions.
Experimental evidence of record-breaking solid electrolyte discovered by machine learning
Published on
ACS Publications
Review of machine learning-based modeling for battery material design
Published on
Wiley Online Library
Two new low electrochemical expansion cathode materials identified from 38,000+ candidates
Published on
Springer Link
Perspective on battery-powered urban aircraft
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Nature
Technoeconomic analysis of iron-air batteries
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Facile screening of billions of candidate materials with ML models
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