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Complex algebraic calculations can be performed by reconstructing analytic results from numerical evaluations over finite fields. We describe FiniteFlow, a framework for defining and executing numerical algorithms over finite fields and…

High Energy Physics - Phenomenology · Physics 2019-07-18 Tiziano Peraro

A number of flexible tactic-based logical frameworks are nowadays available that can implement a wide range of mathematical theories using a common higher-order metalanguage. Used as proof assistants, one of the advantages of such powerful…

Logic in Computer Science · Computer Science 2010-03-26 João Marcos

The aim of this thesis is to present an extension to the string graphs of Dixon, Duncan and Kissinger that allows the finite representation of certain infinite families of graphs and graph rewrite rules, and to demonstrate that a logic can…

Logic in Computer Science · Computer Science 2014-04-01 Alexander Merry

The traditional formulation of string amplitudes via worldsheet integrals provides a parametrization of the moduli space that fails to expose the complete singularity structure of the amplitudes. This problem is solved by the positive…

High Energy Physics - Theory · Physics 2025-12-02 Carolina Figueiredo , Marcos Skowronek

We study elliptic fibrations by analyzing suitable deformations of the fibrations and vanishing cycles. We introduce geometric string junctions and describe some of their properties. We show how the structure of the geometric string…

Algebraic Geometry · Mathematics 2015-10-26 Antonella Grassi , James Halverson , Julius L. Shaneson

This article is the PhD thesis of the author. It is focused on Type II compactifications because of the potential for the construction of realistic MSSM-like compactifications. In particular we concentrate in Type IIB Calabi-Yau…

High Energy Physics - Theory · Physics 2012-10-02 Luis Aparicio

There are a plethora of applications that demand high throughput and low latency algorithms leveraging machine learning methods. This need for real time processing can be seen in industries ranging from developing neural network based…

Machine Learning · Computer Science 2020-04-14 Yash Akhauri

This note introduces an unsupervised learning algorithm to debug errors in finite element (FE) simulation models and details how it was productionised. The algorithm clusters degrees of freedom in the FE model using numerical properties of…

Computational Engineering, Finance, and Science · Computer Science 2023-10-26 Ramaseshan Kannan

BondGraphTools is a Python library for scripted modelling of complex multi-physics systems. In contrast to existing modelling solutions, BondGraphTools is based upon the well established bond graph methodology, provides a programming…

Systems and Control · Electrical Eng. & Systems 2019-06-27 Peter Cudmore , Peter J. Gawthrop , Michael Pan , Edmund J. Crampin

Large linear systems play an important role in high-energy theory, appearing in amplitude bootstraps and during integral reduction. This paper introduces FiniteFieldSolve, a general-purpose toolkit for exactly solving large linear systems…

High Energy Physics - Theory · Physics 2024-03-26 James Mangan

Understanding the flow of complex media is relevant for a wide range of research fields and industrial applications. Several numerical approaches exist by which approximate solutions can be determined for the Stokes equations that describe…

Fluid Dynamics · Physics 2025-09-03 Georg Rempfer , Chengkai Zhu , Bart Stam , Mae Nesenberend , Debabrata Panja , Joost de Graaf

Term rewriting is a Turing complete model of computation. When taught to students of computer science, key properties of computation as well as techniques to analyze programs on an abstract level are conveyed. This paper gives a swift…

Logic in Computer Science · Computer Science 2020-03-02 Sarah Winkler , Aart Middeldorp

The positioning of this research falls within the scalar-on-function classification literature, a field of significant interest across various domains, particularly in statistics, mathematics, and computer science. This study introduces an…

Machine Learning · Statistics 2025-02-27 Fabrizio Maturo , Annamaria Porreca

We investigate the compilation of general multilinear variational forms over affines simplices and prove a representation theorem for the representation of the element tensor (element stiffness matrix) as the contraction of a constant…

Numerical Analysis · Mathematics 2012-05-15 Robert C. Kirby , Anders Logg

We discuss a new perspective on the dualities among seven-dimensional M-theory on elliptically fibered K3 surfaces, eight-dimensional (8D) heterotic strings on $T^2$, and 8D F-theory on elliptic K3 surfaces. There are several distinct…

High Energy Physics - Theory · Physics 2024-03-27 Yusuke Kimura

This paper introduces an Algebraic MultiScale method for simulation of flow in heterogeneous porous media with embedded discrete Fractures (F-AMS). First, multiscale coarse grids are independently constructed for both porous matrix and…

Numerical Analysis · Mathematics 2017-05-17 Matei Tene , Mohammed Saad Al Kobaisi , Hadi Hajibeygi

Electronic-structure theory is the foundation of the description of materials including multiscale modeling of their properties and functions. Obviously, without sufficient accuracy at the base, reliable predictions are unlikely at any…

Materials Science · Physics 2026-04-22 Joseph W. Abbott , Carlos Mera Acosta , Alaa Akkoush , Alberto Ambrosetti , Viktor Atalla , Alexej Bagrets , Jörg Behler , Daniel Berger , Hannah Bertschi , Björn Bieniek , Jonas Björk , Volker Blum , Saeed Bohloul , Connor L. Box , Nicholas Boyer , Danilo Simoes Brambila , Gabriel A. Bramley , Kyle R. Bryenton , María Camarasa-Gómez , Christian Carbogno , Fabio Caruso , Sucismita Chutia , Michele Ceriotti , Gábor Csányi , William Dawson , Francisco A. Delesma , Fabio Della Sala , Bernard Delley , Robert A. DiStasio , Maria Dragoumi , Sander Driessen , Marc Dvorak , Simon Erker , Ferdinand Evers , Eduardo Fabiano , Matthew R. Farrow , Florian Fiebig , Jakob Filser , Lucas Foppa , Lukas Gallandi , Alberto Garcia , Ralf Gehrke , Simiam Ghan , Luca M. Ghiringhelli , Mark Glass , Stefan Goedecker , Dorothea Golze , Matthias Gramzow , James A. Green , Andrea Grisafi , Andreas Grüneis , Jan Günzl , Stefan Gutzeit , Samuel J. Hall , Felix Hanke , Ville Havu , Xingtao He , Joscha Hekele , Olle Hellman , Uthpala Herath , Jan Hermann , Daniel Hernangómez-Pérez , Oliver T. Hofmann , Johannes Hoja , Simon Hollweger , Lukas Hörmann , Ben Hourahine , Wei Bin How , William P. Huhn , Marcel Hülsberg , Timo Jacob , Sara Panahian Jand , Hong Jiang , Erin R. Johnson , Werner Jürgens , J. Matthias Kahk , Yosuke Kanai , Kisung Kang , Petr Karpov , Elisabeth Keller , Roman Kempt , Danish Khan , Matthias Kick , Benedikt P. Klein , Jan Kloppenburg , Alexander Knoll , Florian Knoop , Franz Knuth , Simone S. Köcher , Jannis Kockläuner , Sebastian Kokott , Thomas Körzdörfer , Hagen-Henrik Kowalski , Peter Kratzer , Pavel Kůs , Raul Laasner , Bruno Lang , Björn Lange , Marcel F. Langer , Ask Hjorth Larsen , Hermann Lederer , Susi Lehtola , Maja-Olivia Lenz-Himmer , Moritz Leucke , Sergey Levchenko , Alan Lewis , O. Anatole von Lilienfeld , Konstantin Lion , Werner Lipsunen , Johannes Lischner , Yair Litman , Chi Liu , Qing-Long Liu , Songrui Liu , Andrew J. Logsdail , Michael Lorke , Zekun Lou , Iuliia Mandzhieva , Andreas Marek , Johannes T. Margraf , Reinhard J. Maurer , Tobias Melson , Florian Merz , Jörg Meyer , Georg S. Michelitsch , Teruyasu Mizoguchi , Evgeny Moerman , Dylan Morgan , Jack Morgenstein , Jonathan Moussa , Akhil S. Nair , Lydia Nemec , Harald Oberhofer , Alberto Otero-de-la-Roza , Ramón L. Panadés-Barrueta , Thanush Patlolla , Mariia Pogodaeva , Alexander Pöppl , Alastair J. A. Price , Thomas A. R. Purcell , Jingkai Quan , Nathaniel Raimbault , Markus Rampp , Karsten Rasim , Ronald Redmer , Xinguo Ren , Karsten Reuter , Norina A. Richter , Stefan Ringe , Patrick Rinke , Simon P. Rittmeyer , Herzain I. Rivera-Arrieta , Matti Ropo , Mariana Rossi , Victor Ruiz , Nikita Rybin , Andrea Sanfilippo , Matthias Scheffler , Christoph Scheurer , Christoph Schober , Franziska Schubert , Tonghao Shen , Christopher Shepard , Honghui Shang , Kiyou Shibata , Andrei Sobolev , Ruyi Song , Aloysius Soon , Daniel T. Speckhard , Pavel V. Stishenko , Elia Stocco , Muhammad N. Tahir , Izumi Takahara , Jun Tang , Zechen Tang , Thomas Theis , Franziska Theiss , Alexandre Tkatchenko , Milica Todorović , George Trenins , Oliver T. Unke , Álvaro Vázquez-Mayagoitia , Oscar van Vuren , Daniel Waldschmidt , Han Wang , Yanyong Wang , Jürgen Wieferink , Jan Wilhelm , Scott Woodley , Jianhang Xu , Yong Xu , Yi Yao , Yingyu Yao , Mina Yoon , Victor Wen-zhe Yu , Zhenkun Yuan , Marios Zacharias , Igor Ying Zhang , Min-Ye Zhang , Wentao Zhang , Xingchen Zhang , Rundong Zhao , Shuo Zhao , Ruiyi Zhou , Yuanyuan Zhou , Tong Zhu

$\tt DsixTools$ is a Mathematica package for the handling of the Standard Model Effective Field Theory (SMEFT) and the Low-energy Effective Field Theory (LEFT) with operators up to dimension six, both at the algebraic and numerical level.…

High Energy Physics - Phenomenology · Physics 2021-02-23 Javier Fuentes-Martin , Pedro Ruiz-Femenia , Avelino Vicente , Javier Virto

Originally, tangles were invented as an abstract tool in mathematical graph theory to prove the famous graph minor theorem. In this paper, we showcase the practical potential of tangles in machine learning applications. Given a collection…

In order to describe the appearance in F theory of the non--simply--laced Lie algebras, we use the representation of symmetry enhancements by means of string junctions. After an introduction to the techniques used to describe symmetry…

High Energy Physics - Theory · Physics 2010-11-11 Loriano Bonora , Raffaele Savelli
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