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A large part of modern machine learning theory often involves computing the high-dimensional expected trace of a rational expression of large rectangular random matrices. To symbolically compute such quantities using free probability…

Machine Learning · Computer Science 2025-04-16 Arjun Subramonian , Elvis Dohmatob

Despite the wide availability of density functional theory (DFT) codes, their adoption by the broader materials science community remains limited due to challenges such as software installation, input preparation, high-performance computing…

We provide here all the procedures in \texttt{Mathematica} which are needed for the computation of the analytic images of the strong coupling constant powers in Minkowski (${\bar{\mathfrak A}_{\nu}(s;n_f)}$ and ${\mathfrak…

High Energy Physics - Phenomenology · Physics 2012-08-27 Alexander P. Bakulev , Vyacheslav L. Khandramai

The method of the large mass expansion (LME) is investigated for selfenergy and vertex functions in two-loop order. It has the technical advantage that in many cases the expansion coefficients can be expressed analytically. As long as only…

High Energy Physics - Phenomenology · Physics 2009-09-25 J. Fleischer , A. V. Kotikov , O. L. Veretin

This paper presents STrEAM (SuperTrace Evaluation Automated for Matching), a Mathematica package that calculates all functional supertraces which arise when matching a generic UV model onto a relativistic Effective Field Theory (EFT) at one…

High Energy Physics - Phenomenology · Physics 2021-08-02 Timothy Cohen , Xiaochuan Lu , Zhengkang Zhang

Recent successes in Monte Carlo methods for simulating fermionic quantum impurity models have been based on diagrammatic resummation techniques, but are restricted by the need to sum over factorially large classes of diagrams individually.…

Strongly Correlated Electrons · Physics 2018-10-03 Aviel Boag , Emanuel Gull , Guy Cohen

Studies Beyond the Standard Model (BSM) will become more and more important in the near future with a rapidly increasing amount of data from different experiments around the world. The full study of BSM models is in general an extremely…

High Energy Physics - Phenomenology · Physics 2021-03-23 G. Uhlrich , F. Mahmoudi , A. Arbey

We introduce the MathGR package, written in Mathematica. The package can manipulate tensor and GR calculations with either abstract or explicit indices, simplify tensors with permutational symmetries, decompose tensors from abstract indices…

Mathematical Software · Computer Science 2016-12-08 Yi Wang

We present Quantum MASALA, a compact package that implements different electronic structure methods in Python using the plane-wave basis. Within just 8100 lines of pure Python code, we have implemented Density Functional Theory (DFT),…

Materials Science · Physics 2024-10-24 Shri Hari Soundararaj , Agrim Sharma , Manish Jain

The QMol-grid package provides a suite of routines for performing quantum-mechanical simulations in atomic and molecular systems, currently implemented in one spatial dimension. It supports ground- and excited-state calculations for the…

Computational Physics · Physics 2024-11-19 Francois Mauger , Cristel Chandre

A big class of Feynman integrals, in particular, the coefficients of their Laurent series expansion w.r.t.\ the dimension parameter $\ep$ can be transformed to multi-sums over hypergeometric terms and harmonic sums. In this article, we…

Mathematical Physics · Physics 2012-03-07 J. Blümlein , A. Hasselhuhn , C. Schneider

An implicit purification scheme is proposed for calculation of the temperature-dependent, grand canonical single-particle density matrix, given as a Fermi operator expansion in terms of the Hamiltonian. The computational complexity is shown…

Materials Science · Physics 2009-11-10 Anders M. N. Niklasson

In a recent paper \cite{ft} a new powerful method to calculate Feynman diagrams was proposed. It consists in setting up a Taylor series expansion in the external momenta squared. The Taylor coefficients are obtained from the original…

High Energy Physics - Phenomenology · Physics 2016-09-01 J. Fleischer , O. V. Tarasov

We present the Mathematica group theory package GTPack providing about 200 additional modules to the standard Mathematica language. The content ranges from basic group theory and representation theory to more applied methods like crystal…

Materials Science · Physics 2018-08-27 R. M. Geilhufe , W. Hergert

We extract the leading effective range corrections to the equation of state of the unitary Fermi gas from ab initio fixed-node quantum Monte Carlo (FNQMC) calculations in a periodic box using a density functional theory (DFT), and show them…

Quantum Gases · Physics 2012-11-16 Michael McNeil Forbes , Stefano Gandolfi , Alexandros Gezerlis

We describe a Python-based computer program, DEFT, for manipulating operators in effective field theories (EFTs). In its current incarnation, DEFT can be applied to 4-dimensional, Poincar\'{e} invariant theories with gauge group…

High Energy Physics - Phenomenology · Physics 2019-02-20 Ben Gripaios , Dave Sutherland

We describe how to apply the recently developed pole expansion and selected inversion (PEXSI) technique to Kohn-Sham density function theory (DFT) electronic structure calculations that are based on atomic orbital discretization. We give…

Computational Physics · Physics 2015-06-04 Lin Lin , Mohan Chen , Chao Yang , Lixin He

This review gives an overview on the research of algorithms for dynamical fermions used in large scale lattice QCD simulations. First a short overview on the state-of-the-art of ensemble generation at the physical point is given. Followed…

High Energy Physics - Lattice · Physics 2024-02-20 Jacob Finkenrath

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

We discuss the program EXP used to automate the successive application of asymptotic expansions to Feynman diagrams. We focus on the generation of the relevant subgraphs and the determination of the topologies for the remaining integrals.…

High Energy Physics - Phenomenology · Physics 2007-05-23 Th. Seidensticker