Publications

A Machine Learning Approach to the Nirenberg Problem

G. Cortés, M. Esteban-Casadevall, Y. Feng, J. Henkel, E. Hirst, T. Schettini Gherardini and A. G. Stapleton

arXiv:2602.12368 (2026)

arXiv

AInstein: Numerical Einstein Metrics via Machine Learning

E. Hirst, T. Schettini Gherardini and A. Stapleton

AI for Science, Vol. 1, No. 2, 025001 (2025)

arXiv Journal

Curvature of an Exotic 7-sphere

D. S. Berman, M. Cederwall and T. Schettini Gherardini

Journal of Geometry and Physics, Vol. 216, 105590 (2025)

arXiv Journal

Machine Learning Toric Duality in Brane Tilings

B. Suzzoni, P. Capuozzo and T. Schettini Gherardini

arXiv:2409.15251 (2024)

arXiv

Calabi-Yau Four/Five/Six-folds as P^wn Hypersurfaces: Machine Learning, Approximation, and Generation

E. Hirst and T. Schettini Gherardini

Physical Review D, Vol. 109, Issue 10 (2024)

arXiv Journal

Constructing and Machine Learning Calabi-Yau Five-folds

R. Alawadhi, D. Angella, A. Leonardo and T. Schettini Gherardini

Fortschritte der Physik, 2023, 2300262 (2023)

arXiv Journal

Exotic Spheres' Metrics and Solutions via Kaluza-Klein Techniques

T. Schettini Gherardini

Journal of High Energy Physics, 2023, 100 (2023)

arXiv Journal

Twisted Self-duality

D. S. Berman and T. Schettini Gherardini

International Journal of Modern Physics A, Vol. 38 (2023)

arXiv Journal

Generalised Geometry and Superstring Theory

T. Schettini Gherardini

MSc Dissertation (2021)

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Path Integral Monte Carlo Method for Option Pricing

Emanuele Panella, Pietro Capuozzo and T. Schettini Gherardini

Physica A, Vol. 581 (2021)

Journal