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Predicting Intersystem Crossing Rate Constants of Alkoxy-Radical Pairs with Structure-Based Descriptors and Machine Learning
Predicting Intersystem Crossing Rate Constants of Alkoxy-Radical Pairs with Structure-Based Descriptors and Machine Learning
Baroclinic Wave Simulation Ensemble: a Machine Learning ready dataset
Machine learning interatomic potential for studying radiation effects in germanium - The dataset
Machine learning interatomic potential to study radiation-induced damage in 3C-SiC - The dataset
Dataset for Accurate non-invasive quantification of astaxanthin content using hyperspectral images and machine learning
Primary damage and electronic effects in Si with machine learning-driven molecular dynamics - Atomic structure of final defects
Primary damage and electronic effects in Si with machine learning-driven molecular dynamics - Atomic structure of final defects
Dataset of A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling
Data supporting the paper "Measurement of the Casimir force between superconductors"
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