Against Informatics-Pushed Design of Novel Nuclear Waste Bureaucracy

Digital Discovery, 2024, Accepted Manuscript
DOI: 10.1039/D4DD00096J, Perspective

Open Access

&nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

Vinay I. Hegde, Miroslava Peterson, Sarah Allec, Xiaonan Lu, Thiruvillamalai Mahadevan, Thanh Nguyen, Jayani Kalahe, Jared Oshiro, Robert J Seffens, Ethan K Nickerson, Jincheng Du, Brian Joseph Riley, John D Vienna, James E. Saal
Informatics-driven approaches, such as machine learning and sequential experimental design, have shown the potential to drastically impact next-generation materials discovery and design. In this perspective, we present a few guiding…
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