We are a team of scientists, entrepreneurs, and academics accelerating the “electrification of everything” by co-innovating with industry-leading materials companies. We leverage A.I. and high performance computing to supercharge the process of materials discovery and design.
Dr. Austin Sendek
Founder and Chief Executive Officer
Who we are
Through our A.I. and quantum mechanical simulation-based simulation suite, coupled with our unique co-innovation model, we enable our users to speed up their own development, driven by their own team, learning from their own data, using their own lab, at their own pace.
Latest scientific publications from our team
What we do
Co-Innovation
Our team of experts provides scientific collaboration, construction of customized data pipelines, machine learning training, and more.
Software
Our cloud-based platform enables transparent A.I. modeling, data analysis, and feature calculations through the browser or Python API.
Data
Our searchable materials database contains millions of materials along with their physical properties, vendors, and commercial availability.
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 hone 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 promise 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.
Before we started this project, I said, 'there's no way we can use machine learning - we don't have data!' But ... we were able to double our cycle life under accelerated aging in eight weeks of electrolyte optimization. Sepion has been around for five years - we've never effected change that quickly before.
The project with Aionics started before I joined, and I was immediately impressed by the thoroughness and flexibility of the platform. Everything they do is, as far as I can tell, a data science best practice, especially for small datasets where extra care is needed. After meeting with them a few times, it became clear that their team is made of not just data scientists and developers, but also battery experts. Together, we were able to identify the “true” inputs to our system and independently validate conclusions reached by our own battery team (unknown to me at the time) – in less time and with less data.
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Our customers & partners
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Schedule a meeting with our team
Schedule a 15-minute introductory consultation with the Aionics team to assess the applicability of materials informatics to your R&D.
