Accelerating the electrification-of-everything revolution with A.I. and quantum mechanical simulation.
Global decarbonization is a challenge that can only be solved with creative arrangements of atoms and electrons; it will require fundamental innovations in materials for batteries, fuel cells, and manufacturing. Our mission is to leverage the dual revolutions in high-performance computing and machine learning to discover and commercialize new materials for the clean energy economy.
In the early 2010s, a new subfield of materials science began to emerge, dubbed materials informatics: by combining traditional materials science with emerging tools from data science and statistical learning, the goal of materials informatics was to leverage the exponential improvements in computing to create exponential improvements in materials.
Soon after, three materials informatics researchers from Stanford University and Carnegie Mellon University began to explore the opportunities for applying materials informatics approaches to battery design. Several successful case studies and publications later, Drs. Austin Sendek and Lenson Pellouchoud from Stanford and Prof. Venkat Viswanathan teamed up to cofounder Aionics, Inc. with the mission of accelerating materials design for decarbonization applications.
Today, Aionics uses its best-in-class simulation and machine learning capabilities, in partnership with manufacturers, to design next-generation materials for leading OEMs in automotive, grid scale energy storage, green manufacturing, and more.
Who we are
Dr. Austin Sendek
Dr. Lenson Pellouchoud
Dr. Venkat Viswanathan
Scientific Advisory Board