Experimental evidence of record-breaking solid electrolyte discovered by machine learning
Published on
ACS Publications
Using next-generation compute to design next-generation materials.
Aionics combines high-performance computing with machine learning to build better batteries for the electrification-of-everything revolution
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
Published on
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 excited to unveil that Aionics has entered into a joint development partnership with CELLFORCE GROUP to design the next generation of batteries for electric vehicles on beyond. The announcement was initially made on October 5th, 2023 by CEO Austin Sendek on the stage of the UP.Partners UP Summit 2023 and, at the sameContinue reading "Aionics partners with Cellforce, featured in TechCrunch and MIT Technology Review"
Solomon Oyakhire joins Aionics as Scholar-in-Residence
Aionics, Inc. and Carnegie Mellon University Announce Licensing Agreement for Breakthrough Battery Electrolyte Design Software
LK-99: What can machine learning tell us about the candidate superconductor?
Record-Breaking Solid Electrolyte Discovered by Machine Learning, Confirmed by Experiments
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