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Machine-learned interatomic potentials have revolutionized molecular dynamics simulations by providing quantum-mechanical accuracy at empirical-potential speeds. The graphics processing unit molecular dynamics (GPUMD) package, featuring the…

MadDM is an automated numerical tool for the computation of dark-matter observables for generic new physics models. We announce version 3.1 and summarize its features. Notably, the code goes beyond the mere cross-section computation for…

High Energy Physics - Phenomenology · Physics 2020-12-17 Chiara Arina , Jan Heisig , Fabio Maltoni , Luca Mantani , Daniele Massaro , Olivier Mattelaer , Gopolang Mohlabeng

Denoising diffusion probabilistic models (DDPMs) have pioneered new state-of-the-art results in disciplines such as computer vision and computational biology for diverse tasks ranging from text-guided image generation to structure-guided…

Machine Learning · Computer Science 2024-05-28 Alex Morehead , Jianlin Cheng

Recent developments in many-body potential energy representation via deep learning have brought new hopes to addressing the accuracy-versus-efficiency dilemma in molecular simulations. Here we describe DeePMD-kit, a package written in…

Computational Physics · Physics 2018-05-23 Han Wang , Linfeng Zhang , Jiequn Han , Weinan E

The yaglm package aims to make the broader ecosystem of modern generalized linear models accessible to data analysts and researchers. This ecosystem encompasses a range of loss functions (e.g. linear, logistic, quantile regression),…

Computation · Statistics 2021-10-13 Iain Carmichael , Thomas Keefe , Naomi Giertych , Jonathan P Williams

This article introduces TinyDEM, a lightweight implementation of a full-fledged discrete element method (DEM) solver in 3D. Newton's damped equations of motion are solved explicitly for translations and rotations of a polydisperse ensemble…

Computational Physics · Physics 2025-12-05 Roman Vetter

ScopeSim is a flexible multipurpose instrument data simulation framework built in Python. It enables both raw and reduced observation data to be simulated for a wide range of telescopes and instruments quickly and efficiently on a personal…

Instrumentation and Methods for Astrophysics · Physics 2021-09-29 Kieran Leschinski , Hugo Buddelmeijer , Oliver Czoske , Miguel Verdugo , Gijs Verdoes-Kleijn , Werner Zeilinger

OrbDot is a Python package for studying the secular (long-term) evolution of exoplanet orbits from observational data. It employs nested sampling algorithms to fit evolutionary models to any combination of transit and eclipse mid-times,…

Instrumentation and Methods for Astrophysics · Physics 2025-09-08 Simone R. Hagey , Aaron Boley

The direct detection and characterization of planetary and substellar companions at small angular separations is a rapidly advancing field. Dedicated high-contrast imaging instruments deliver unprecedented sensitivity, enabling detailed…

Earth and Planetary Astrophysics · Physics 2019-01-25 Tomas Stolker , Markus J. Bonse , Sascha P. Quanz , Adam Amara , Gabriele Cugno , Alexander J. Bohn , Anna Boehle

Exascale computing delivers the raw power to simulate ever larger and more chemically realistic systems, but realizing this potential requires codes that can efficiently use thousands of processors. Our real-space multigrid (RMG) density…

Materials Science · Physics 2026-01-19 R. J. Morelock , S. Bagchi , E. L. Briggs , W. Lu , J. Bernholc , P. Ganesh

This review summarizes recent progress in investigating polymer systems by using Differential dynamic microscopy (DDM), a rapidly emerging approach that transforms a commercial microscope by combining real-space information with the…

Soft Condensed Matter · Physics 2021-06-07 Roberto Cerbino , Fabio Giavazzi , Matthew E. Helgeson

Diffusion models have emerged as a prominent technique in generative modeling with neural networks, making their mark in tasks like text-to-image translation and super-resolution. In this tutorial, we provide a comprehensive guide to build…

Image and Video Processing · Electrical Eng. & Systems 2025-01-24 Harshith Bachimanchi , Giovanni Volpe

This paper introduces PyGAD, an open-source easy-to-use Python library for building the genetic algorithm. PyGAD supports a wide range of parameters to give the user control over everything in its life cycle. This includes, but is not…

Neural and Evolutionary Computing · Computer Science 2021-06-14 Ahmed Fawzy Gad

We introduce geoplotlib, an open-source python toolbox for visualizing geographical data. geoplotlib supports the development of hardware-accelerated interactive visualizations in pure python, and provides implementations of dot maps,…

Graphics · Computer Science 2016-08-08 Andrea Cuttone , Sune Lehmann , Jakob Eg Larsen

Despite the prevalence of symmetry in scientific linear systems, these structural properties are often underutilized by standard computational software. This paper introduces PySymmetry, an open-source Sage/Python framework that implements…

Group Theory · Mathematics 2025-09-25 Leon D. da Silva , Marcelo P. Santos

The Python package fluidsim is introduced in this article as an extensible framework for Computational Fluid Mechanics (CFD) solvers. It is developed as a part of FluidDyn project (Augier et al., 2018), an effort to promote open-source and…

Computational Engineering, Finance, and Science · Computer Science 2019-07-31 Ashwin Vishnu Mohanan , Cyrille Bonamy , Miguel Calpe Linares , Pierre Augier

The ultimate goal of the observation of nonthermal emission from astrophysical sources is to understand the underlying particle acceleration and evolution processes, and few tools are publicly available to infer the particle distribution…

High Energy Astrophysical Phenomena · Physics 2015-09-14 Víctor Zabalza

In a continued quest to monitor subsecond surface dynamics on the atomic scale and to improve imaging resolution, a FAST module to accelerate existing scanning probe microscopy setups was previously presented. Hereby, the speedup is enabled…

Instrumentation and Detectors · Physics 2023-01-30 K. Briegel , F. Riccius , J. Filser , A. Bourgund , R. Spitzenpfeil , M. Panighel , C. Dri , B. A. J. Lechner , F. Esch

Rigorous computer simulations of propagating electromagnetic fields have become an important tool for optical metrology and optics design of nanostructured components. As has been shown in previous benchmarks some of the presently used…