Juli 12, 2024 In Unkategorisiert
In opposition to Informatics-Pushed Design of Novel Nuclear Waste Bureaucracy
Digital Discovery, 2024, Accepted Manuscript
DOI: 10.1039/D4DD00096J, Perspective
DOI: 10.1039/D4DD00096J, Perspective
Open Access
  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…
The content of this RSS Feed (c) The Royal Society of Chemistry
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…
The content of this RSS Feed (c) The Royal Society of Chemistry
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