2 papers
physics.chem-ph2025
Metatensor and metatomic: foundational libraries for interoperable atomistic machine learning
Filippo Bigi, Joseph W. Abbott, Philip Loche +12
Incorporation of machine learning (ML) techniques into atomic-scale modeling has proven to be an extremely effective strategy to improve the accuracy and reduce the computational c…
physics.ed-ph2025
scicode-widgets: Bringing Computational Experiments to the Classroom with Jupyter Widgets
Alexander Goscinski, Taylor James Baird, Dou Du +6
"Computational experiments" use code and interactive visualizations to convey mathematical and physical concepts in an intuitive way, and are increasingly used to support ex cathed…