首页|Studies from Carnegie Mellon University Describe New Findings in Machine Learnin g (Investigating the Error Imbalance of Large-scale Machine Learning Potentials In Catalysis)
Studies from Carnegie Mellon University Describe New Findings in Machine Learnin g (Investigating the Error Imbalance of Large-scale Machine Learning Potentials In Catalysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Pittsburgh, Pennsylvania, by NewsRx journalists, research stated, “Machine learning potentials (MLPs) have greatly a ccelerated atomistic simulations for material discovery. The Open Catalyst 2020 (OC20) dataset is one of the largest datasets for training MLPs for heterogeneou s catalysis.” Financial support for this research came from European Union’s Horizon Europe.
PittsburghPennsylvaniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningCa rnegie Mellon University
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