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ESPResSo 4.0 is an extensible simulation package for research on soft matter. This versatile molecular dynamics program was originally developed for coarse-grained simulations of charged systems Limbach et al., Comput. Phys. Commun. 174,…

This paper presents Virtual Simulation Objects (VSO) concept which forms theoretical basis for building tools and framework that is developed for system-level simulations using existing software modules available within…

Systems and Control · Computer Science 2016-03-21 Sergey V. Kovalchuk , Pavel A. Smirnov , Sergey S. Kosukhin , Alexander V. Boukhanovsky

This report introduces Juno, a modular Python package for optical design and simulation. Juno consists of a complete library that includes a graphical user interface to design and visualise arbitrary optical elements, set up wave…

Instrumentation and Detectors · Physics 2022-12-27 David Dierickx , Patrick Cleeve , Sergey Gorelick , James C. Whisstock , Alex De Marco

Predictive simulations and experimental design involving extreme aero-chemo-thermo-mechanical regimes require high-fidelity material representation across diverse physical states. However, data for metals, polymers, and propellants,…

Interstellar objects such as 1I/'Oumuamua and 2I/Borisov offer a unique window into the formation and evolution of other star systems, yet the tracking and analysis of their trajectories remain limited to specialized research institutions.…

Instrumentation and Methods for Astrophysics · Physics 2025-12-10 Pancha Narayan Sahu

Software engineers frequently grapple with the challenge of accessing disparate documentation and telemetry data, including TroubleShooting Guides (TSGs), incident reports, code repositories, and various internal tools developed by multiple…

In an era marked by renewed interest in lunar exploration and the prospect of establishing a sustainable human presence on the Moon, innovative approaches supporting mission preparation and astronaut training are imperative. To this end,…

Instrumentation and Methods for Astrophysics · Physics 2024-10-23 Giacomo Franchini , Brenno Tuberga , Marcello Chiaberge

Reliable, generalizable data foundations are critical for enabling large-scale models in computational lithography. However, essential tasks-mask generation, rule violation detection, and layout optimization-are often handled in isolation,…

Machine Learning · Computer Science 2025-11-17 Qian Jin , Yumeng Liu , Yuqi Jiang , Qi Sun , Cheng Zhuo

Over the past decades, several computer codes were developed for simulation and analysis of thermal-hydraulics of system behaviors in nuclear reactors under operating, abnormal transient and accident conditions. However, simulation errors…

Computational Physics · Physics 2019-05-07 Han Bao , Nam Dinh , Jeffrey Lane , Robert Youngblood

The JEM-EUSO program aims at detecting Ultra High Energy Cosmic Rays (UHECRs) by observing the fluorescence light produced by extensive air showers (EAS) in the Earth's atmosphere. Within this program, a new generation of missions is being…

Instrumentation and Methods for Astrophysics · Physics 2019-09-13 M. Battisti , M. Bertaina , F. Fenu , H. Miyamoto , K. Shinozaki , A. Belov , F. Bisconti , M. Mignone , F. Capel

Advances in Earth observation (EO) foundation models have unlocked the potential of big satellite data to learn generic representations from space, benefiting a wide range of downstream applications crucial to our planet. However, most…

Neural operators have become an effective framework for learning mappings between function spaces, yet most existing architectures realize operators within a single representational domain, such as physical, spectral, or latent space. In…

Machine Learning · Computer Science 2026-05-14 Hanli Qiao , George Em Karniadakis , Muhammad Muniruzzaman

Running AI models on smart edge devices can unlock versatile user experiences, but presents challenges due to limited compute and the need to handle multiple tasks simultaneously. This requires a vision encoder with small size but powerful…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Chenchen Zhu , Saksham Suri , Cijo Jose , Maxime Oquab , Marc Szafraniec , Wei Wen , Yunyang Xiong , Patrick Labatut , Piotr Bojanowski , Raghuraman Krishnamoorthi , Vikas Chandra

The success of high energy physics programs relies heavily on accurate detector simulations and beam interaction modeling. The increasingly complex detector geometries and beam dynamics require sophisticated techniques in order to meet the…

An Atmospheric Monitoring System (AMS) is a mandatory and key device of a space-based mission which aims to detect Ultra-High Energy Cosmic Rays (UHECR) and Extremely-High Energy Cosmic Rays (EHECR) from Space. JEM-EUSO has a dedicated…

Instrumentation and Methods for Astrophysics · Physics 2015-06-23 M. D. Rodriguez Frias , S. Toscano , E. Bozzo , L. del Peral , A. Neronov , S. Wada

A visualization method based on Unity engine is proposed for the Jiangmen Underground Neutrino Observatory (JUNO) experiment. The method has been applied in development of a new event display tool named ELAINA (Event Live Animation with…

Instrumentation and Detectors · Physics 2019-01-30 Jiang Zhu , Zhengyun You , Yumei Zhang , Ziyuan Li , Shu Zhang , Tao Lin , Weidong Li

Mini-EUSO (Extreme Universe Space Observatory) is a small-scale prototype cosmic-ray detector that will measure Earth`s UV emission and other atmospheric phenomena from space. It will be placed in the International Space Station (ISS)…

Instrumentation and Methods for Astrophysics · Physics 2019-09-11 Viktoria Kungel , Mario E. Bertaina , Francesca Bisconti , Marco Casolino , Johannes Eser , Lawrence Wiencke , JEM-EUSO Collaboration

Detector and event visualization are crucial components of high-energy physics~(HEP) experimental software. Virtual Reality~(VR) technologies and multimedia development platforms such as Unity offer enhanced display effects and flexible…

Instrumentation and Detectors · Physics 2025-09-23 Kai-Xuan Huang , Tian-Zi Song , Yu-Ning Su , Cheng-Xin Wu , Xue-Sen Wang , Yu-Mei Zhang , Zheng-Yun You

We present a multiscale simulation framework that couples the Finite Element Method with molecular dynamics. Bypassing traditional equations of state (EOS) by using in-line atomistic simulations, the method offers the advantage of…

Particle accelerator projects share many characteristics with industrial projects. However, experience has shown that best practice of industrial project management is not always well suited to particle accelerator projects. Major…

Accelerator Physics · Physics 2018-01-12 P. Bonnal , B. Féral , K. Kershaw , B. Nicquevert , M. Baudin , L. Lari , J. Le Cardinal
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