Machine learning line bundle cohomologies of hypersurfaces in toric varieties
type: Item
instance of: scholarly article
title: Machine learning line bundle cohomologies of hypersurfaces in toric varieties
zbMATH Open document ID: 1406.14001
author: Daniel Klaewer
author: Lorenz Schlechter
publication date: 2019-02-05T00:00:00Z
full work available at URL: https://arxiv.org/abs/1809.02547
Mathematics Subject Classification ID: 14-04
Mathematics Subject Classification ID: 14J60
zbMATH DE Number: 7012334
zbMATH Keywords: cohomology
zbMATH Keywords: line bundles
zbMATH Keywords: toric varieties
zbMATH Keywords: machine learning
zbMATH Keywords: neural network
describes a project that uses: cohomCalg
describes a project that uses: GitHub
MaRDI profile type: Publication
OpenAlex ID: W2891834385
arXiv ID: 1809.02547
cites work: Evolving neural networks with genetic algorithms to study the string landscape
cites work: Machine learning in the string landscape
cites work: GANs for generating EFT models
cites work: Formulae for Line Bundle Cohomology on Calabi‐Yau Threefolds
cites work: Phases of \(N=2\) theories in two dimensions
cites work: Cohomology of line bundles: A computational algorithm
cites work: Cohomology of line bundles: Proof of the algorithm
Wikidata QID: Q128682511
DOI: 10.1016/J.PHYSLETB.2019.01.002
published in: Physics Letters B
description: scientific article