Who we are
Renewable power generation has come a long way, but our ability to store and move clean energy remains a major challenge. Battery technology will be a key enabler of the “electrification of everything” — from electric vehicles to grid-scale power. We are dedicated to harnessing the power of A.I. to improve the performance, cost, and safety of batteries.
Research has shown that A.I.-based approaches offer step-change improvements in productivity and efficiency of battery R&D. To help scientists speed up the process of identifying the right materials and processes, Aionics provides an A.I. platform and professional consulting services that help battery manufacturers, OEMs, and end users leverage the power of data.
Latest scientific publications from our team
Two new low electrochemical expansion cathode materials identified from 38,000+ candidates
Perspective on battery-powered urban aircraft
Technoeconomic analysis of iron-air batteries
Facile screening of billions of candidate materials with ML models
ML-accelerated colloidal synthesis and discovery
New solid electrolytes that outperform state-of-the-art
5x faster exploration of battery material design space
Predict alloy melting temperature to within 100K
Discovery of new dendrite-suppressing solid electrolytes
Liquid crystalline electrolytes enable dendrite-suppression
Discovery of new solid ion conductor materials with 2X higher precision than human experts
Thousand-fold acceleration in new cathode discovery with ML potentials
Not sure if a materials informatics approach is right for you? We'd love to discuss with you!
Unsure whether a data driven approach fits your organization?
Every organization’s environment is unique, which means every materials informatics approach is equally unique. Visit our Material Informatics (MI) Readiness calculator and take 60 seconds to check if this approach fits your unique environment or not.