Atomic Data Sciences
Nathan Frey is currently a PhD candidate in Materials Science at the University of Pennsylvania. He is also an affiliate scientist at Berkeley Lab and a National Defense Science & Engineering Graduate Fellow. Previously, Nathan served as a project manager on the Weiss Tech House Innovation Fund advising startups at Penn.
Nathan earned his BS in Theoretical and Mathematical Physics from the University of Missouri-Columbia in 2014 and his Masters in Physics from Boston University in 2016.
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Atomic Data Sciences
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Our mission: reduce the lead time for advanced materials development from decades to years by transforming sensor and microscopy data into new resources for process design. We automate and scale extraction of physical information from synthesis and characterization data, and provide tools for working with advanced materials datasets. Our datasets provide high-fidelity insights into materials processing and can be used to reduce trials and gain real-time feedback. Advanced materials are synthesized using precision growth or materials processing techniques and are engineered with increasingly atomic precision for mechanical, electronic, and optical properties. Advanced materials underpin many technologies of today and the future, such as high-power electronics (5G), energy generation / transmission / storage, next-generation transistors and memory, and quantum computing.