Topological data analysis of vortices in the magnetically-induced current density in LiH molecule
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Abstract (arXiv)
A novel strategy for extracting axial (AV) and toroidal (TV) vortices in the magnetically-induced current density (MICD) in molecular systems is introduced, and its pilot application to LiH molecule is demonstrated. It exploits differences in the topologies of AV and TV cores and involves two key steps: selecting a scalar function that can describe vortex cores in MICD and its subsequent topological analysis. The scalar function of choice is OmegaBα based on the velocity-gradient Omega method known in research on classical flows. The Topological Data Analysis (TDA) is then used to analyze the OmegaBα scalar field. In particular, TDA robustly assigns distinct topological features of this field to different vortex types in LiH: AV to saddle-maximum separatrices which connect maxima to 2-saddles located on the domain's boundary, TV to a 1-cycle of the super-level sets of the input data. Both are extracted as the most persistent features of the topologically-simplified OmegaBα scalar field.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Dec 2022.
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Citing papers per year: 2023: 3; 2024: 1; 2025: 4; 2026: 1.
9 papers.
- 2023Wasserstein Dictionaries of Persistence Diagramscited by 4
- 2023Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams)cited by 3
- 2023TTK is Getting MPI-Readycited by 3
- 2025Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reductioncited by 3
- 2024A Practical Solver for Scalar Data Topological Simplificationcited by 1
- 2025Robust Barycenters of Persistence Diagramscited by 1
- 2025Topology Aware Neural Interpolation of Scalar Fieldscited by 0
- 2025Continuous Edit Distance, Geodesics and Barycenters of Time-varying Persistence Diagramscited by 0
- 2026Revisiting the Sliced Wasserstein Kernel for persistence diagrams: a Figalli-Gigli approachcited by 0
- 2026Revisiting the Sliced Wasserstein Kernel for persistence diagrams: a Figalli-Gigli approach6 Feb 2026
- 2025Continuous Edit Distance, Geodesics and Barycenters of Time-varying Persistence Diagrams15 Dec 2025
- 2025Robust Barycenters of Persistence Diagrams18 Sep 2025
- 2025Topology Aware Neural Interpolation of Scalar Fields25 Aug 2025
- 2025Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction27 Feb 2025
- 2024A Practical Solver for Scalar Data Topological Simplification17 Jul 2024
- 2023TTK is Getting MPI-Ready12 Oct 2023
- 2023Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams)5 Jul 2023
- 2023Wasserstein Dictionaries of Persistence Diagrams28 Apr 2023