首页|New Machine Learning Study Findings Have Been Reported by Investigators at Florida State University (Phase Selection Rules of Multi-principal Element Alloys)
New Machine Learning Study Findings Have Been Reported by Investigators at Florida State University (Phase Selection Rules of Multi-principal Element Alloys)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting out of Tallahassee, Florida, by NewsRx editors, research stated, "Computational prediction of phase stability of multi-principal element alloys (MPEAs) holds a lot of promise for rapid exploration of the enormous design space and autonomous discovery of superior structural and functional properties. Regardless of many plausible works that rely on phenomenological theory and machine learning, precise prediction is still limited by insufficient data and the lack of interpretability of some machine learning algorithms, e.g., convolutional neural network." Funders for this research include Startup funding from Florida State University, Florida State University, Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS), National Energy Research Scientific Computing Center (NERSC), a DOE Office of Science User Facility, United States Department of Energy (DOE), Research Computing Center (RCC) at Florida State University, United States Department of Energy (DOE).
TallahasseeFloridaUnited StatesNorth and Central AmericaAlloysCyborgsEmerging TechnologiesMachine LearningFlorida State University
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