Robotics & Machine Learning Daily News2024,Issue(Feb.12) :88-88.DOI:10.1007/s40192-023-00330-6

Reports on Combinatorial Materials Findings from Sandia National Laboratories Provide New Insights (Beyond Combinatorial Materials Science: the 100 Prisoners Problem)

Robotics & Machine Learning Daily News2024,Issue(Feb.12) :88-88.DOI:10.1007/s40192-023-00330-6

Reports on Combinatorial Materials Findings from Sandia National Laboratories Provide New Insights (Beyond Combinatorial Materials Science: the 100 Prisoners Problem)

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Abstract

Investigators discuss new findings in Bioengineering - Combinatorial Materials. According to news originating from Albuquerque, New Mexico, by NewsRx correspondents, research stated, "Advancements in high-throughput data generation and physics-informed artificial intelligence and machine-learning algorithms are rapidly challenging the status quo for how materials data is collected, analyzed, and communicated with the world." Funders for this research include United States Department of Energy (DOE), United States Department of Energy (DOE).

Key words

Albuquerque/New Mexico/United States/North and Central America/Bioengineering/Combinatorial/Combinatorial Materials/Combinatoric/Cyborgs/Emerging Technologies/Machine Learning/Sandia National Laboratories

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量73
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