Author Archives: Eugen Bleck

Bloomberg Green has highlighted cloud-based battery materials informatics company Aionics as a leading company utilizing Artificial Intelligence (A.I.) to reduce emissions in a recent article. Aionics was featured as one of the company’s leading one of five approaches to A.I.’s climate applications, with Bloomberg calling out the company as an example of “accelerating scientific discovery”.Continue reading “Aionics Gets Featured In Bloomberg News As One Of Top 5 Startups Using AI To Fight Climate Change”

When Bloomberg’s Market Magazine needed the scoop on the future of battery development, they turned to the Chief Scientist at Aionics, Inc. for the answers. Venkat Viswanathan was the subject of a Q&A discussion on how robots and machine learning are playing a role in accelerating the process of battery development. The article outlines Viswanathan’sContinue reading “Aionics Chief Scientist Talks Robots, Machine Learning, and Batteries with Bloomberg”

Prof. Viswanathan, a recognized global leader in A.I.-driven approaches for energy materials, brings a wealth of knowledge and expertise to Aionics.

New research published by Aionics CEO Dr. Austin Sendek reports a highly promising new solid electrolyte made of lithium, boron, and sulfur that was discovered with the help of materials informatics.

Aionics introduces the Open Access COVID-19 Drug Discovery Project, a collaborative effort between Aionics and Stanford University to provide a public version of the Aionics machine learning (ML) modeling suite to accelerate the search for potential new SARS-CoV-2 therapeutic drugs.

The partnership between Aionics and Cuberg, a California-based manufacturer of lightweight and energy dense lithium-ion batteries for electric aviation technologies, was featured in AI Trends magazine.

A new publication in the Journal of Physical Chemistry C uses historical data on known solid electrolyte materials to quantify the likelihood of major breakthrough discoveries occuring in the future.

Editors of the journal Chemistry of Materials highlight Dr. Sendek’s work on machine learning-assisted solid electrolyte design among 22 examples of notable scientific works in the materials informatics field.

Dr. Austin Sendek is named to the prestigious list based on his Ph.D. research at Stanford on machine learning-enabled materials design and his subsequent founding of Aionics.