Studies from Carnegie Mellon University Describe New Findings in Machine Learnin g (Investigating the Error Imbalance of Large-scale Machine Learning Potentials In Catalysis)

Robotics & Machine Learning Daily News2024，Issue(Sep.19) ：24-25.

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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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Abstract

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.

Key words

Pittsburgh/Pennsylvania/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Ca rnegie Mellon University

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出版年

2024

Robotics & Machine Learning Daily News

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