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New Calabi–Yau manifolds from genetic algorithms

Published:2024-03 Issue: Volume:850 Page:138504
ISSN:0370-2693
Container-title:Physics Letters B
language:en
Short-container-title:Physics Letters B

Author:

Berglund Per,He Yang-Hui,Heyes Elli^ORCID,Hirst Edward,Jejjala Vishnu,Lukas Andre

Funder

Department of Energy

STFC

Publisher

Elsevier BV

Reference43 articles.

1. Vacuum configurations for superstrings;Candelas;Nucl. Phys. B,1985

2. Calabi-Yau Manifolds: A Bestiary for Physicists;Hubsch,1994

3. The Calabi–Yau Landscape: From Geometry, to Physics, to Machine Learning;He,2021

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Group-Invariant Machine Learning on the Kreuzer-Skarke Dataset;Physics Letters B;2024-09

2. Neural network learning and Quantum Gravity;Journal of High Energy Physics;2024-07-11

3. Machine Learning Clifford Invariants of ADE Coxeter Elements;Advances in Applied Clifford Algebras;2024-05-04

4. New Calabi–Yau manifolds from genetic algorithms;International Journal of Data Science in the Mathematical Sciences;2024-05-04

5. Calabi-Yau four-, five-, sixfolds as Pwn hypersurfaces: Machine learning, approximation, and generation;Physical Review D;2024-05-02

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