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Completeness of Atomic Structure Representations
v1v2v3 (latest)

Completeness of Atomic Structure Representations

APL Machine Learning (AML), 2023
28 February 2023
M. J. Willatt
Sergey Pozdnyakov
Christoph Ortner
Michele Ceriotti
ArXiv (abs)PDFHTMLGithub

Papers citing "Completeness of Atomic Structure Representations"

3 / 3 papers shown
Representing spherical tensors with scalar-based machine-learning models
Representing spherical tensors with scalar-based machine-learning models
Michelangelo Domina
Filippo Bigi
Paolo Pegolo
Michele Ceriotti
460
3
0
08 May 2025
Cartesian atomic cluster expansion for machine learning interatomic
  potentials
Cartesian atomic cluster expansion for machine learning interatomic potentialsnpj Computational Materials (npj Comput. Mater.), 2024
Bingqing Cheng
302
77
0
12 Feb 2024
Symmetry-invariant quantum machine learning force fields
Symmetry-invariant quantum machine learning force fields
Isabel Nha Minh Le
Oriel Kiss
Julian Schuhmacher
I. Tavernelli
F. Tacchino
AI4CE
302
21
0
19 Nov 2023
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