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.
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
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Springer Link
Perspective on battery-powered urban aircraft
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Nature
Technoeconomic analysis of iron-air batteries
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ECSarXiv Preprints
Facile screening of billions of candidate materials with ML models
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AIP Publishing
We are delighted to announce that Dr. Venkat Viswanathan, Co-Founder & Chief Scientist of Aionics, Inc., has been awarded the prestigious 2024 Energy Lectureship Award for Energy Storage by ACS Energy Letters. Dr. Viswanathan is an Associate Professor of Aerospace and Mechanical Engineering at the University of Michigan, where he leads a pioneering interdisciplinary groupContinue reading "Dr. Venkat Viswanathan wins the 2024 Energy Lectureship Award for Energy Storage by ACS Energy Letters"
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Solomon Oyakhire joins Aionics as Scholar-in-Residence
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