首页|Data on Machine Learning Reported by Researchers at Florida Institute of Technol ogy (A Machine Learning Approach To Predict Austenite Finish Temperature In Quat ernary Nitihfpd Smas)
Data on Machine Learning Reported by Researchers at Florida Institute of Technol ogy (A Machine Learning Approach To Predict Austenite Finish Temperature In Quat ernary Nitihfpd Smas)
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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 from Melbourne, Florida, by NewsRx journ alists, research stated, "Machine learning (ML) has emerged as a promising tool for the design of multicomponent alloys due to their vast design spaces. Quatern ary NiTiHfPd shape memory alloys (SMAs) possess unique potential to be employed in high-temperature actuation as well as damping systems." The news correspondents obtained a quote from the research from the Florida Inst itute of Technology, "This study presents a machine learning approach using the currently available limited data regime to accelerate research on NiTiHfPd SMAs. To this end, a database of transformation temperatures of NiTiHfPd SMAs was com piled and expanded through compositional and post-processing features of the all oys." According to the news reporters, the research concluded: "Various ML algorithms were utilized to predict the austenite finish temperature of NiTiHfPd SMAs and t hen validated through experiments." This research has been peer-reviewed.
MelbourneFloridaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningFlorida Institute of Technology
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