首页|Studies from Los Alamos National Laboratory Further Understanding of Machine Lea rning (Machine Learning-guided Design, Synthesis, and Characterization of Atomic ally Dispersed Electrocatalysts)
Studies from Los Alamos National Laboratory Further Understanding of Machine Lea rning (Machine Learning-guided Design, Synthesis, and Characterization of Atomic ally Dispersed Electrocatalysts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Los Alamos, New Mexico, by N ewsRx correspondents, research stated, “The recent integrationof machine learni ng into materials design has revolutionized the understanding of structure-prope rtyrelationships and optimization of material properties beyond the trial-and-e rror paradigm. On one hand,machine learning has significantly accelerated the d evelopment of atomically dispersed metal-nitrogencarbon(M-N-C) electrocatalyst s, which traditionally heavily relied on heuristic approaches.”
Los AlamosNew MexicoUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningLos Alamos National Laboratory
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