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DOE OSTI · 2403587

Towards informatics-driven design of nuclear waste forms

Hegde, Vinay I.·Peterson, Miroslava·Allec, Sarah I.·Lu, Xiaonan·Mahadevan, Thiruvillamalai·Nguyen, Thanh·Kalahe, Jayani·Oshiro, Jared·Seffens, Robert J.·Nickerson, Ethan K.·Du, Jincheng·Riley, Brian J.·Vienna, John D.·Saal, James E.
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Abstract

Informatics-driven approaches, such as machine learning and sequential experimental design, have shown the potential to drastically impact next-generation materials discovery and design.

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12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIESinformatics, iron phosphate waste forms, iron phosphate glass, machine learning, artificial intelligence

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Hegde, Vinay I., Peterson, Miroslava, Allec, Sarah I., Lu, Xiaonan, Mahadevan, Thiruvillamalai, Nguyen, Thanh, Kalahe, Jayani, Oshiro, Jared, Seffens, Robert J., Nickerson, Ethan K., Du, Jincheng, Riley, Brian J., Vienna, John D., Saal, James E.. 2024-08-07. Towards informatics-driven design of nuclear waste forms. https://doi.org/10.1039/d4dd00096j

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