首页|New Machine Learning Data Have Been Reported by Investigators at U.S. Department of Energy (DOE) (Machine Learning-guided Exploration of Ternary Metal Borohydri des)
New Machine Learning Data Have Been Reported by Investigators at U.S. Department of Energy (DOE) (Machine Learning-guided Exploration of Ternary Metal Borohydri des)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting out of Ames, Iowa, by NewsRx editors, research stated, "We employ deep machine learning (ML) combined with first-principles calculations to explore energetically favorable ternary m etal borohydrides. Using La-B-H as a prototype system, we demonstrate that itera tively trained ML models can efficiently screen hundreds of thousands of hypothe tical structures and accurately select a small fraction of promising structures and compositions for further studies by first-principles calculations." Funders for this research include Natural Science Foundation of Shandong Provinc e, United States Department of Energy (DOE), United States Department of Energy (DOE), Natural Science Foundation of Shandong Province.
AmesIowaUnited StatesNorth and Cen tral AmericaBoranesBorohydridesBoron CompoundsCyborgsEmerging Technolo giesMachine LearningU.S. Department of Energy (DOE)
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