Machine learning line bundle cohomologies of hypersurfaces in toric varieties-Reference-Cited by-同舟云学术

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Machine learning line bundle cohomologies of hypersurfaces in toric varieties

Published:2019-02 Issue: Volume:789 Page:438-443
ISSN:0370-2693
Container-title:Physics Letters B
language:en
Short-container-title:Physics Letters B

Author:

Klaewer Daniel^ORCID,Schlechter Lorenz

Publisher

Elsevier BV

Subject

Nuclear and High Energy Physics

Reference18 articles.

1. The statistics of string / M theory vacua;Douglas;JHEP,2003

2. Genetic algorithms and the search for viable string vacua;Abel;JHEP,2014

3. Genetic algorithms and experimental discrimination of SUSY models;Allanach;JHEP,2004

4. Machine-learning the string landscape;He;Phys. Lett. B,2017

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1. Generating Functions for Line Bundle Cohomology Dimensions on Complex Projective Varieties;Experimental Mathematics;2024-08-06

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3. Cohomology Chambers on Complex Surfaces and Elliptically Fibered Calabi–Yau Three-Folds;Communications in Mathematical Physics;2024-06-18

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

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