Machine Learning for String Field Theory and for the String- and F-Theory landscapes

Project Information

ML4SFT

Grant agreement ID: 891169

DOI

10.3030/891169

Project closed

EC signature date 15 April 2020

Start date 1 November 2020

End date 31 October 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 275 619,84

EU contribution

€ 275 619,84

Coordinated by

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (2)

Renormalization in the neural network-quantum field theory correspondence

Author(s): Harold Erbin, Vincent Lahoche, Dine Ousmane Samary
Published in: NeurIPS 2022 workshop: Machine learning and the physical sciences, 2022
Publisher: NeurIPS
DOI: 10.48550/arxiv.2212.11811

Machine learning for complete intersection Calabi-Yau manifolds

Author(s): Harold Erbin, Riccardo Finotello, Mohamed Tamaazousti
Published in: NeurIPS 2022 workshop: Machine learning and the physical sciences, 2022
Publisher: NeurIPS

Monographic books (1)

String field theory – A Modern Introduction

Author(s): Harold Erbin
Published in: Lecture notes in physics, 2021, ISBN 978-3-030-65321-7
Publisher: Springer
DOI: 10.1007/978-3-030-65321-7

Peer reviewed articles (4)

Nonperturbative renormalization for the neural network-QFT correspondence

Author(s): H Erbin; V Lahoche; D Ousmane Samary
Published in: Machine Learning: Science and Technology, Issue 3, 2022, ISSN 2632-2153
Publisher: IOP
DOI: 10.1088/2632-2153/ac4f69

Initial Value Problem in String-inspired Nonlocal Field Theory

Author(s): Harold Erbin, Atakan Hilmi Firat
Published in: Journal of High Energy Physics, Issue 2022, 2022, ISSN 1029-8479
Publisher: Institute of Physics Publishing
DOI: 10.1007/jhep01(2022)167

Closed string theory without level-matching at the free level

Author(s): Harold Erbin; Maxime Médevielle
Published in: Journal of High Energy Physics, Issue 2023:03, 2023, ISSN 1029-8479
Publisher: Institute of Physics Publishing
DOI: 10.1007/jhep03(2023)091

Deep multi-task mining Calabi–Yau four-folds

Author(s): Harold Erbin; Riccardo Finotello; Robin Schneider; Mohamed Tamaazousti
Published in: Machine Learning: Science and Technology, Issue 3, 2021, ISSN 2632-2153
Publisher: IOP Physics
DOI: 10.48550/arxiv.2108.02221

Other (3)

Characterizing 4-string contact interaction using machine learning

Author(s): Harold Erbin, Atakan Hilmi Fırat
Published in: 2022
Publisher: None
DOI: 10.48550/arxiv.2211.09129

Open string stub as an auxiliary string field

Author(s): Harold Erbin, Atakan Hilmi Fırat
Published in: 2023
Publisher: None
DOI: 10.48550/arxiv.2308.08587

SL(2, C) quartic vertex for closed string field theory

Author(s): Harold Erbin, Suvajit Majumder
Published in: 2023
Publisher: None
DOI: 10.48550/arxiv.2311.07367