Machine Learning Line Bundle Cohomology

Topological data analysis for the string landscape

(2019) Alex Cole et al.   JOURNAL OF HIGH ENERGY PHYSICS

Machine learning line bundle cohomologies of hypersurfaces in toric varieties

(2019) Daniel Klaewer et al.   PHYSICS LETTERS B

Machine learning CICY threefolds

(2018) Kieran Bull et al.   PHYSICS LETTERS B

Machine-learning the string landscape

(2017) Yang-Hui He   PHYSICS LETTERS B

Machine learning in the string landscape

(2017) Jonathan Carifio et al.   JOURNAL OF HIGH ENERGY PHYSICS

Evolving neural networks with genetic algorithms to study the string landscape

(2017) Fabian Ruehle   JOURNAL OF HIGH ENERGY PHYSICS

The moduli space of heterotic line bundle models: a case study for the tetra-quadric

(2014) Evgeny I. Buchbinder et al.   JOURNAL OF HIGH ENERGY PHYSICS

Cohomology of line bundles: A computational algorithm

(2010) Ralph Blumenhagen et al.   JOURNAL OF MATHEMATICAL PHYSICS

Heterotic models from vector bundles on toric Calabi-Yau manifolds

(2010) Yang-Hui He et al.   JOURNAL OF HIGH ENERGY PHYSICS

Exploring positive monad bundles and a new heterotic standard model

(2010) Lara B. Anderson et al.   JOURNAL OF HIGH ENERGY PHYSICS

GUTs in type IIB orientifold compactifications

(2009) Ralph Blumenhagen et al.   NUCLEAR PHYSICS B

Monad bundles in heterotic string compactifications

(2008) Lara Anderson et al.   JOURNAL OF HIGH ENERGY PHYSICS