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19982026
most citedD-Brane Gauge Theories from Toric Singularities and Toric Duality

339 citations · 6k across the 162 of their papers we have counts for

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hep-th2026

CIPro Package: Complete Intersections in Products of Projective Spaces and Line Bundles

Lara B. Anderson, Andrei Constantin, James Gray +3

CIPro is a Mathematica package for constructing and analyzing complete intersections in products of projective spaces and line bundles over such varieties. It computes properties o…

hep-th2023★ 21 cited

New Calabi-Yau Manifolds from Genetic Algorithms

Per Berglund, Yang-Hui He, Elli Heyes +3

Calabi-Yau manifolds can be obtained as hypersurfaces in toric varieties built from reflexive polytopes. We generate reflexive polytopes in various dimensions using a genetic algor…

hep-th2023★ 9 cited

Numerical spectra of the Laplacian for line bundles on Calabi-Yau hypersurfaces

Anthony Ashmore, Yang-Hui He, Elli Heyes +1

We give the first numerical calculation of the spectrum of the Laplacian acting on bundle-valued forms on a Calabi-Yau three-fold. Specifically, we show how to compute the approxim…

hep-th2022★ 9 cited

Crystal Melting, BPS Quivers and Plethystics

Jiakang Bao, Yang-Hui He, Ali Zahabi

We study the refined and unrefined crystal/BPS partition functions of D6-D2-D0 brane bound states for all toric Calabi-Yau threefolds without compact 4-cycles and some non-toric ex…

hep-th2022★ 13 cited

Brain Webs for Brane Webs

Guillermo Arias-Tamargo, Yang-Hui He, Elli Heyes +2

We propose a new technique for classifying 5d Superconformal Field Theories arising from brane webs in Type IIB String Theory, using technology from Machine Learning to identify di…

hep-th2022★ 37 cited

Machine Learning Calabi-Yau Hypersurfaces

David S. Berman, Yang-Hui He, Edward Hirst

We revisit the classic database of weighted-P4s which admit Calabi-Yau 3-fold hypersurfaces equipped with a diverse set of tools from the machine-learning toolbox. Unsupervised tec…

hep-th2021★ 1 cited

The World in a Grain of Sand: Condensing the String Vacuum Degeneracy

Yang-Hui He, Shailesh Lal, M. Zaid Zaz

We propose a novel approach toward the vacuum degeneracy problem of the string landscape, by finding an efficient measure of similarity amongst compactification scenarios. Using a…

hep-th2021

Reflexions on Mahler: Dessins, Modularity and Gauge Theories

Jiakang Bao, Yang-Hui He, Ali Zahabi

We provide a unified framework of Mahler measure, dessins d'enfants, and gauge theory. With certain physically motivated Newton polynomials from reflexive polygons, the Mahler meas…

hep-th2021★ 12 cited

Machine Learning Line Bundle Connections

Anthony Ashmore, Rehan Deen, Yang-Hui He +1

We study the use of machine learning for finding numerical hermitian Yang-Mills connections on line bundles over Calabi-Yau manifolds. Defining an appropriate loss function and foc…

hep-th2021★ 4 cited

Some Open Questions in Quiver Gauge Theory

Jiakang Bao, Amihay Hanany, Yang-Hui He +1

Quivers, gauge theories and singular geometries are of great interest in both mathematics and physics. In this note, we collect a few open questions which have arisen in various re…

hep-th2021★ 4 cited

Mahler Measure for a Quiver Symphony

Jiakang Bao, Yang-Hui He, Ali Zahabi

Adopting the Mahler measure from number theory, we introduce it to toric quiver gauge theories, and study some of its salient features and physical implications. We propose that th…

hep-th2021★ 11 cited

Integrality, Duality and Finiteness in Combinatoric Topological Strings

Robert de Mello Koch, Yang-Hui He, Garreth Kemp +1

A remarkable result at the intersection of number theory and group theory states that the order of a finite group (denoted ) is divisible by the dimension of any irr…

hep-th2021

Direct Integration for Multi-leg Amplitudes: Tips, Tricks, and When They Fail

Jacob L. Bourjaily, Yang-Hui He, Andrew J. McLeod +5

Direct hyperlogarithmic integration offers a strong alternative to differential equation methods for Feynman integration, particularly for multi-particle diagrams. We review a vari…

hep-th2021★ 20 cited

Hilbert Series, Machine Learning, and Applications to Physics

Jiakang Bao, Yang-Hui He, Edward Hirst +3

We describe how simple machine learning methods successfully predict geometric properties from Hilbert series (HS). Regressors predict embedding weights in projective space to ${\s…

hep-th2021★ 6 cited

Dessins d'Enfants, Seiberg-Witten Curves and Conformal Blocks

Jiakang Bao, Omar Foda, Yang-Hui He +4

We show how to map Grothendieck's dessins d'enfants to algebraic curves as Seiberg-Witten curves, then use the mirror map and the AGT map to obtain the corresponding 4d $\mathcal{N…

hep-th2020★ 6 cited

Universes as Big Data

Yang-Hui He

We briefly overview how, historically, string theory led theoretical physics first to precise problems in algebraic and differential geometry, and thence to computational geometry…

hep-th2020★ 21 cited

Machine Learning Lie Structures & Applications to Physics

Heng-Yu Chen, Yang-Hui He, Shailesh Lal +1

Classical and exceptional Lie algebras and their representations are among the most important tools in the analysis of symmetry in physical systems. In this letter we show how the…

hep-th2020★ 35 cited

Machine Learning Calabi-Yau Four-folds

Yang-Hui He, Andre Lukas

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 conside…

hep-th2020★ 3 cited

Chiral Rings, Futaki Invariants, Plethystics, and Groebner Bases

Jiakang Bao, Yang-Hui He, Yan Xiao

We study chiral rings of 4d supersymmetric gauge theories via the notion of K-stability. We show that when using Hilbert series to perform the computations of Futak…

hep-th2020★ 12 cited

Machine Learning Etudes in Conformal Field Theories

Heng-Yu Chen, Yang-Hui He, Shailesh Lal +1

We demonstrate that various aspects of Conformal Field Theory are amenable to machine learning. Relatively modest feed-forward neural networks are able to distinguish between scale…

hep-th2020★ 2 cited

Calabi-Yau Spaces in the String Landscape

Yang-Hui He

Calabi-Yau spaces, or Kahler spaces admitting zero Ricci curvature, have played a pivotal role in theoretical physics and pure mathematics for the last half-century. In physics, th…

hep-th2020★ 41 cited

Quiver Mutations, Seiberg Duality and Machine Learning

Jiakang Bao, Sebastián Franco, Yang-Hui He +3

We initiate the study of applications of machine learning to Seiberg duality, focusing on the case of quiver gauge theories, a problem also of interest in mathematics in the contex…

hep-th2020★ 3 cited

Quiver Gauge Theories: Beyond Reflexivity

Jiakang Bao, Grace Beaney Colverd, Yang-Hui He

Reflexive polygons have been extensively studied in a variety of contexts in mathematics and physics. We generalize this programme by looking at the 45 different lattice polygons w…

hep-th2020★ 27 cited

Machine-Learning Dessins d'Enfants: Explorations via Modular and Seiberg-Witten Curves

Yang-Hui He, Edward Hirst, Toby Peterken

We apply machine-learning to the study of dessins d'enfants. Specifically, we investigate a class of dessins which reside at the intersection of the investigations of modular subgr…