49 citations · 82 across the 6 of their papers we have counts for
7 papers
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…
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…
Modeling the ferroelectric phase transition in barium titanate with DFT accuracy and converged sampling
Lorenzo Gigli, Alexander Goscinski, Michele Ceriotti +1
The accurate description of the structural and thermodynamic properties of ferroelectrics has been one of the most remarkable achievements of Density Functional Theory (DFT). Howev…
Optimal radial basis for density-based atomic representations
Alexander Goscinski, Félix Musil, Sergey Pozdnyakov +1
The input of almost every machine learning algorithm targeting the properties of matter at the atomic scale involves a transformation of the list of Cartesian atomic coordinates in…
Efficient implementation of atom-density representations
Félix Musil, Max Veit, Alexander Goscinski +5
Physically-motivated and mathematically robust atom-centred representations of molecular structures are key to the success of modern atomistic machine learning (ML) methods. They l…
The role of feature space in atomistic learning
Alexander Goscinski, Guillaume Fraux, Giulio Imbalzano +1
Eficient, physically-inspired descriptors of the structure and composition of molecules and materials play a key role in the application of machine-learning techniques to atomistic…
The parallel Grover as dynamic system
Alexander Goscinski
A sequential application of the Grover algorithm to solve the iterated search problem has been improved by Ozhigov by parallelizing the application of the oracle. In this work a re…