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We evaluated ChatGPT 3.5, 4, and 4 with Code Interpreter on a set of college-level engineering-math and electromagnetism problems, such as those often given to sophomore electrical engineering majors. We selected a set of 13 problems, and…

Artificial Intelligence · Computer Science 2023-09-19 Tanuj Kumar , Mikhail A. Kats

Latent variable generative models have emerged as powerful tools for generative tasks including image and video synthesis. These models are enabled by pretrained autoencoders that map high resolution data into a compressed lower dimensional…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Mohammed Suhail , Carlos Esteves , Leonid Sigal , Ameesh Makadia

Computer-Aided Design (CAD) plays a foundational role in modern manufacturing and product development, often requiring designers to modify or build upon existing models. Converting 3D scans into parametric CAD representations--a process…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Ahmet Serdar Karadeniz , Dimitrios Mallis , Danila Rukhovich , Kseniya Cherenkova , Anis Kacem , Djamila Aouada

Large Language Models (LLMs) can generate Computer-Aided Design (CAD), yet lack physical comprehension required for reliable engineering design. Instead of attempting to implicitly learn physical laws from data, we propose a Hybrid…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Elias Berger , Muhammad Usama , Jan Mehlstäubl , Bernhard Saske , Kristin Paetzold-Byhain

In the field of Human-Computer Interaction (HCI), interactive devices with embedded mechanical computation are gaining attention. The rise of these cutting-edge devices has created a need for specialized design tools that democratize the…

Human-Computer Interaction · Computer Science 2024-10-31 Qiuyu Lu , Jiawei Fang , Zhihao Yao , Yue Yang , Shiqing Lyu , Haipeng Mi , Lining Yao

Recent advances in electron microscopy have enabled the imaging of single cells in 3D at nanometer length scale resolutions. An uncharted frontier for in silico biology is the ability to simulate cellular processes using these observed…

X-ray fluorescence computed tomography based on sheet-beam can save a huge amount of time to obtain a whole set of projections using synchrotron. However, it is clearly unpractical for most biomedical research laboratories. In this paper,…

Medical Physics · Physics 2017-03-07 Shanghai Jiang , Peng He , Luzhen Deng , Mianyi Chen , Biao Wei

A graphical user interface (GUI) software is provided for lattice QCD simulations, aimed at streamlining the process. The current version of the software employs the Metropolis algorithm with the Wilson gauge action. It is implemented in…

High Energy Physics - Lattice · Physics 2024-11-14 Lin Gao

A R&D project, named Nano5, has been recently launched to study an architectural design in view of addressing new experimental issues related to particle transport in high energy physics and other related physics disciplines with Geant4. In…

In CAGD/CAD research and education, users are involved with development of mathematical algorithms and followed by the analysis of the resultant algorithm. This process involves geometric display which can only be carried out with high end…

Computers and Society · Computer Science 2013-03-15 R. U. Gobithaasan , M. A Jamaludin

Ongoing investigations to introduce software techniques suitable to support new experimental requirements for multi-scale simulation are discussed.

Quantum generative modeling is a very active area of research in looking for practical advantage in data analysis. Quantum generative adversarial networks (QGANs) are leading candidates for quantum generative modeling and have been applied…

Quantum Physics · Physics 2026-01-09 Milan Liepelt , Julien Baglio

This is the user manual for the hybrid code XTANT-3, simulating intense femtosecond X-ray irradiation of matter. The code combines a few models into one with feedbacks: transport Monte Carlo simulation, Boltzmann collision integrals, and…

Other Condensed Matter · Physics 2023-09-29 Nikita Medvedev

This paper presents an investigation of the capabilities of Generative Pre-trained Transformers (GPTs) to auto-generate graphical process models from multi-modal (i.e., text- and image-based) inputs. More precisely, we first introduce a…

Software Engineering · Computer Science 2024-06-10 Marvin Voelter , Raheleh Hadian , Timotheus Kampik , Marius Breitmayer , Manfred Reichert

In the history of computer-aided design (CAD), feature-based parametric modeling and boundary representation-based direct modeling are two of the most important CAD paradigms, developed respectively in the late 1980s and the late 2000s.…

Graphics · Computer Science 2025-05-30 Qiang Zou

A radiographic setup for an investigation of fast dynamic processes with areal density of targets up to 5 g/cm$^2$ is under development on the basis of high-current proton linear accelerator at the Institute for Nuclear Research (Troitsk,…

The proliferation of 3D representations, from explicit meshes to implicit neural fields and more, motivates the need for simulators agnostic to representation. We present a data-, mesh-, and grid-free solution for elastic simulation for any…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Vismay Modi , Nicholas Sharp , Or Perel , Shinjiro Sueda , David I. W. Levin

Computer-aided design (CAD) significantly enhances the efficiency, accuracy, and innovation of design processes by enabling precise 2D and 3D modeling, extensive analysis, and optimization. Existing methods for creating CAD models rely on…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Siyu Wang , Cailian Chen , Xinyi Le , Qimin Xu , Lei Xu , Yanzhou Zhang , Jie Yang

It is now a noticeable trend in High Performance Computing that the systems are becoming more and more heterogeneous. Compute nodes with a host CPU are being equipped with accelerators, the latter being a GPU or FPGA cards or both. In many…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-16 G. Korcyl , P. Korcyl

We discuss the recently proposed multicanonical multigrid Monte Carlo method and apply it to the scalar $\phi^4$-model on a square lattice. To investigate the performance of the new algorithm at the field-driven first-order phase…

High Energy Physics - Lattice · Physics 2009-10-28 Wolfhard Janke , Tilman Sauer