首页|Studies from University of Toronto Yield New Data on Machine Learning (Efficient First Principles Based Modeling via Machine Learning: From Simple Representatio ns To High Entropy Materials)
Studies from University of Toronto Yield New Data on Machine Learning (Efficient First Principles Based Modeling via Machine Learning: From Simple Representatio ns To High Entropy Materials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Toronto, Canada, by NewsRx ed itors, research stated, “High-entropy materials (HEMs) have recently emerged as a significant category of materials, offering highly tunable properties. However , the scarcity of HEM data in existing density functional theory (DFT) databases , primarily due to computational expense, hinders the development of effective m odeling strategies for computational materials discovery.”
TorontoCanadaNorth and Central Ameri caCyborgsEmerging TechnologiesMachine LearningUniversity of Toronto
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