Atomic Data Sciences
Chris Price is a PhD candidate in Materials Science at the University of Pennsylvania with broad experience in computational physical science. Previously, he developed new data science solutions for energy commodities brought to market at Genscape, Inc.
Chris earned his BA in Chemistry from Dartmouth College in 2014.
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.