Journal article icon

Journal article

Machine learning Calabi-Yau four-folds

Abstract:

Hodge numbers of Calabi-Yau manifolds depend non-trivially on the underlying manifold data and they present an interesting challenge for machine learning. In this letter we consider the data set of complete intersection Calabi-Yau four-folds, a set of about 900,000<...>

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Authors


More by this author
Role:
Author
ORCID:
0000-0002-0787-8380
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Theoretical Physics
Role:
Author
ORCID:
0000-0003-4969-0447
Publisher:
Elsevier
Journal:
Physics Letters B More from this journal
Volume:
815
Article number:
136139
Publication date:
2021-02-12
Acceptance date:
2021-02-10
DOI:
ISSN:
0370-2693
Language:
English
Keywords:
Pubs id:
1163532
Local pid:
pubs:1163532
Deposit date:
2021-02-25

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP