cymyc -- Calabi-Yau Metrics, Yukawas, and Curvature
Not on the map. Why?
Abstract (arXiv)
We introduce textttcymyc, a high-performance Python library for numerical investigation of the geometry of a large class of string compactification manifolds and their associated moduli spaces. We develop a well-defined geometric ansatz to numerically model tensor fields of arbitrary degree on a large class of Calabi-Yau manifolds. textttcymyc includes a machine learning component which incorporates this ansatz to model tensor fields of interest on these spaces by finding an approximate solution to the system of partial differential equations they should satisfy.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 4 of its 55 references that are in the map. First posted on arXiv 25 Oct 2024.
Builds on
4 of 55 references.
References · 4
- 2020Neural Network Approximations for Calabi-Yau Metricscited by 32
- 2021Learning Size and Shape of Calabi-Yau Spacescited by 28
- 2019Machine learning Calabi-Yau metricscited by 23
- 2022Machine Learned Calabi-Yau Metrics and Curvaturecited by 14
Built on by
Citing papers per year: 2024: 1; 2025: 1; 2026: 1.
3 papers.
- 2024Symbolic Approximations to Ricci-flat Metrics Via Extrinsic Symmetries of Calabi-Yau Hypersurfacescited by 4
- 2025Hermitian Yang--Mills connections on general vector bundles: geometry and physical Yukawa couplingscited by 0
- 2026GlobalCY I: A JAX Framework for Globally Defined and Symmetry-Aware Neural K"ahler Potentialscited by 0
- 2026GlobalCY I: A JAX Framework for Globally Defined and Symmetry-Aware Neural K"ahler Potentials13 Apr 2026
- 2025Hermitian Yang--Mills connections on general vector bundles: geometry and physical Yukawa couplings11 Dec 2025
- 2024Symbolic Approximations to Ricci-flat Metrics Via Extrinsic Symmetries of Calabi-Yau Hypersurfaces27 Dec 2024