Engineering and Technologynpj Computational Materials
Bayesian Linear Regression for Accurate and Efficient Atomistic Machine Learning Models
C. V. D. Oord
Discover how C. van der Oord is revolutionizing material property predictions with a groundbreaking Bayesian approach to linear regression that enhances both accuracy and efficiency in atomistic machine learning models, specifically the Accurate and Efficient (ACE) model.
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