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

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

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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).

AlbuquerqueNew MexicoUnited StatesNorth and Central AmericaBioengineeringCombinatorialCombinatorial MaterialsCombinatoricCyborgsEmerging TechnologiesMachine LearningSandia National Laboratories

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.12)
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