arXiv:2202.07590

Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning

Vishnu Jejjala, Washington Taylor, Andrew Turner

제출 2022-02-15

원문 초록

We review briefly the characteristic topological data of Calabi--Yau threefolds and focus on the question of when two threefolds are equivalent through related topological data. This provides an interesting test case for machine learning methodology in discrete mathematics problems motivated by physics.

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

토론

이 논문과 연결된 포럼 글이 아직 없습니다.