Experimental evidence of record-breaking solid electrolyte discovered by machine learning
Published on
ACS Publications
Accelerating the Clean Energy Revolution with A.I.
Using next-generation compute to design next-generation materials.
What we do
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.
Custom electrolyte design
We screen billions of formulations to find the best candidates for achieving your desired performance profile.
New molecule design
Let’s discover and commercialize promising new materials together.
Supply chain
We work with trusted chemical partners to secure supply for your new formulations.
Industries
Driving cleaner, smarter progress across every sector we touch.
Electric vehicles
Unlocking customized battery performance for electric vehicles.
Aviation
Ensuring maximum safety with high power for aviation applications.
Green manufacturing
Powering the zero-carbon manufacturing revolution.
Consumer electronics
Optimizing device batteries for the optimal user experience.
Grid storage
Maximizing long-term durability.
Long-haul electric trucks
Creating thermally stable and durable electrolyte solutions.
Scientific publications
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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
Published on
Nature
Technoeconomic analysis of iron-air batteries
Published on
ECSarXiv Preprints
Facile screening of billions of candidate materials with ML models
Published on
AIP Publishing
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