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    Autonomous Discovery for Separation Sciences - IPAM at UCLA

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    Autonomous Discovery for Separation Sciences - IPAM at UCLA

    YouTube·Data Science

    Explore the cutting-edge research on autonomous discovery for separation sciences in this 52-minute lecture presented by Ping Yang from Los Alamos National Laboratory. Delve into the challenges of separating critical 4f rare earths and minor 5f actinides, which are crucial for clean energy technologies and improving nuclear fuel cycle safety. Discover how modern data-science and automation techniques are being leveraged to accelerate f-element separation science design through innovative computational and experimental workflows. Gain insights into the team's recent progress in navigating the vast chemical and process spaces to find groundbreaking solutions for separating elements with almost indistinguishable chemistry.

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