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Predicting Intersystem Crossing Rate Constants of Alkoxy-Radical Pairs with Structure-Based Descriptors and Machine Learning

Hilda Sandström, Kai Puolamäki, Patrick Rinke, Rashid Valiev, Rinat Nasibullin, Theo Kurtén2025

Predicting Intersystem Crossing Rate Constants of Alkoxy-Radical Pairs with Structure-Based Descriptors and Machine Learning

Hilda Sandström, Kai Puolamäki, Patrick Rinke, Rashid Valiev, Rinat Nasibullin, Theo Kurtén2025

Baroclinic Wave Simulation Ensemble: a Machine Learning ready dataset

Andy Bowery, David Wallom, Glenn Carver, Sarah Sparrow, Antti Toropainen, Clément Bouvier, Joona Cornér, Victoria Sinclair2025

Machine learning interatomic potential for studying radiation effects in germanium - The dataset

Ruoyan Jin2025

Machine learning interatomic potential to study radiation-induced damage in 3C-SiC - The dataset

Ali Hamedani2025

Dataset for Accurate non-invasive quantification of astaxanthin content using hyperspectral images and machine learning

Pulkkinen, Katja, Timilsina, Hemanta, Yli-Tuomola, Aliisa, Calderini, Marco, Pääkkönen, Salli, Pölönen, Ilkka, Salmi, Pauliina2025

Primary damage and electronic effects in Si with machine learning-driven molecular dynamics - Atomic structure of final defects

Ali Hamedani2025

Primary damage and electronic effects in Si with machine learning-driven molecular dynamics - Atomic structure of final defects

Ali Hamedani2025

Dataset of A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling

Sivagnana Sundaram Anandakrishnan, Yang Bai2025

Data supporting the paper "Measurement of the Casimir force between superconductors"

Laure Mercier de Lépinay, Matthijs de Jong, Pinara Korkmazgil2025