Aionics - Aionics

Enable your team to optimize electrolyte formulations in just 10% of the time
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Enable your team to accelerate cycle life prediction by up to 11X
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Enable your team to discover new solid-state materials with superhuman accuracy
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We are a team of scientists, entrepreneurs, and academics accelerating the “electrification of everything” by co-innovating with battery manufacturers and OEMs to produce better and longer lasting batteries and devices - by leveraging A.I. and high performance computing to enable faster materials discovery, optimized processing, cycle life forecasting, and technoeconomic analysis.

Dr. Austin Sendek

CEO Aionics Inc

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

Thousand-fold acceleration in new cathode discovery with ML potentials

Discovery of new solid ion conductor materials with 2X higher precision than human experts

Liquid crystalline electrolytes enable dendrite-suppression

Discovery of new dendrite-suppressing solid electrolytes

Predict alloy melting temperature to within 100K

5x faster exploration of battery material design space

New solid electrolytes that outperform state-of-the-art

ML-accelerated colloidal synthesis and discovery

Facile screening of billions of candidate materials with ML models

What we do

Consulting

Our team of experts provides scientific collaboration, construction of customized data pipelines, machine learning training, and more.

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Software

Our cloud-based platform enables transparent A.I. modeling, data analysis, and feature calculations through the browser or Python API.

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Data

Our searchable materials database contains millions of materials along with their physical properties, vendors, and commercial availability.

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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.

What our customers are saying...

The Aionics platform enables us to seamlessly implement machine learning models on our in-house data in real time, which brings another layer of rigorous analysis to help identify the chemical features driving performance that we care about most. The automated machine learning model-building and screening workflow also lets us screen hundreds of thousands of candidate materials for our devices in the blink of an eye.

Aionics is dramatically accelerating materials discovery, one of the slowest and most frustrating parts of battery R&D. Engineering and science teams can radically reduce the size of their designs of experiment and quickly in on material candidates that are most likely to produce optimal results. We see Aionics driving step-change improvements that will move us faster to the promis of ultra-high energy densities and custom-designed energy storage solutions.

Our in-house team of battery materials informatics experts at Showa Denko benefits greatly from our partnership with Aionics. What Aionics brings to our materials development program is far from a commodity: it is unique, cannot be found anywhere else, and is built on rigorous research from Stanford University. Since beginning our partnership with Aionics in 2019, our team regularly calls the Aionics API to predict the properties of novel materials, which accelerates our rate of materials discovery significantly.