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hler potential

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Calabi-Yau Metrics, Energy Functionals and Machine-Learning

Ashmore, Anthony, Calmon, Lucille, He, Yang-Hui, Ovrut, Burt A.

arXiv.org Artificial IntelligenceDec-20-2021

We apply machine learning to the problem of finding numerical Calabi-Yau metrics. We extend previous work on learning approximate Ricci-flat metrics calculated using Donaldson's algorithm to the much more accurate "optimal" metrics of Headrick and Nassar. We show that machine learning is able to predict the K\"ahler potential of a Calabi-Yau metric having seen only a small sample of training data.

arxiv, hler potential, manifold, (14 more...)

arXiv.org Artificial Intelligence

doi: 10.1142/S2810939222500034

2112.10872

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Genre: Research Report (0.64)

Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)

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