49 citations · 82 across the 6 of their papers we have counts for
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physics.chem-ph2025★ 10 cited
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★ 1 cited
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…