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The emergence and dynamics of filamentary structures associated with edge-localized modes (ELMs) inside tokamak plasmas during high-confinement mode is regularly studied using Electron Cyclotron Emission Imaging (ECEI) diagnostic systems.…

Plasma Physics · Physics 2022-04-05 Cooper Jacobus , Minjun J. Choi , Ralph Kube

The classical method of determining the atomic structure of complex molecules by analyzing diffraction patterns is currently undergoing drastic developments. Modern techniques for producing extremely bright and coherent X-ray lasers allow a…

Biomolecules · Quantitative Biology 2015-10-12 Tomas Ekeberg , Stefan Engblom , Jing Liu

We present a theoretical investigation of photonuclear tomography as a novel technique for probing the internal structure of nuclei. In this approach, ultraperipheral heavy-ion collisions (UPCs) serve as a source of intense fluxes of…

Nuclear Theory · Physics 2025-08-29 J. D. Baker , C. A. Bertulani , Victor P. Goncalves

Atomic nuclei are self-organized, many-body quantum systems bound by strong nuclear forces within femtometer-scale space. These complex systems manifest a variety of shapes, traditionally explored using non-invasive spectroscopic techniques…

Nuclear Experiment · Physics 2024-11-19 STAR Collaboration

Isomerization, i.e. the rearrangement between distinct molecular configurations, is a fundamental process in chemistry. Here we demonstrate that two-dimensional Coulomb crystals can emulate molecular isomerization and be used to…

Atomic Physics · Physics 2025-08-11 Naoto Mizukami , Gabriele Gatta , Lucia Duca , Carlo Sias

The ingenious idea of single molecule imaging by hard x-ray Free Electron Laser (X-FEL) pulses was recently proposed by Neutze et al. [Nature,406,752(2000)]. However, in their numerical modelling of the Coulomb explosion several…

Condensed Matter · Physics 2009-11-10 Zoltan Jurek , Gabor Oszlanyi , Gyula Faigel

Robots and autonomous systems require an understanding of complex events (CEs) from sensor data to interact with their environments and humans effectively. Traditional end-to-end neural architectures, despite processing sensor data…

Artificial Intelligence · Computer Science 2024-03-05 Liying Han , Mani B. Srivastava

The future electron-ion collider (EIC) will produce the first-ever high energy collisions between electrons and a wide range of nuclei, opening a new era in the study of cold nuclear matter. Quarks and gluons produced in these collisions…

High Energy Physics - Phenomenology · Physics 2025-10-03 Kyle Devereaux , Wenqing Fan , Weiyao Ke , Kyle Lee , Ian Moult

Information about the structure and composition of biopsy specimens can assist in disease monitoring and diagnosis. In principle, this can be acquired from Raman and infrared (IR) hyperspectral images (HSIs) that encode information about…

Medical Physics · Physics 2022-09-12 Ciaran Bench , Jayakrupakar Nallala , Chun-Chin Wang , Hannah Sheridan , Nicholas Stone

While machine learning (ML) models have been able to achieve unprecedented accuracies across various prediction tasks in quantum chemistry, it is now apparent that accuracy on a test set alone is not a guarantee for robust chemical modeling…

Machine learning methods find growing application in the reconstruction and analysis of data in high energy physics experiments. A modified convolutional autoencoder model was employed to identify and reconstruct the pulses from…

Computational Physics · Physics 2025-06-02 Kalina Dimitrova , Venelin Kozhuharov , Peicho Petkov

Recent advances in the use of High-Resolution Cross-Correlation Spectroscopy (HRCCS) to detect molecular species in exoplanet atmospheres, presents a new challenge for the accuracy of reference spectroscopic line lists. While parent…

Earth and Planetary Astrophysics · Physics 2026-04-20 Marco G. Barnfield , Oleg L. Polyansky , Sergei N. Yurchenko , Jonathan Tennyson

Computer vision and machine learning tools offer an exciting new way for automatically analyzing and categorizing information from complex computer simulations. Here we design an ensemble machine learning framework that can independently…

Computer Vision and Pattern Recognition · Computer Science 2021-09-06 Maarja Bussov , Joonas Nättilä

Accurate prediction of compound-protein interactions (CPI) remains a cornerstone challenge in computational drug discovery. While existing sequence-based approaches leverage molecular fingerprints or graph representations, they critically…

Machine Learning · Computer Science 2025-04-08 Ngoc-Quang Nguyen

When a chemical bond is broken, the molecular structure undergoes a transformation. An ideal experiment should probe the change in the electronic and nuclear structure simultaneously. Here, we present a method for the simultaneous…

Atomic Physics · Physics 2024-10-11 Saurabh Mhatre , Zack Dube , André Staudte , Stefanie Gräfe , Matthias Kübel

Deep learning has been successfully applied to medical image segmentation, enabling accurate identification of regions of interest such as organs and lesions. This approach works effectively across diverse datasets, including those with…

Image and Video Processing · Electrical Eng. & Systems 2025-04-08 Tianyi Ren , Juampablo Heras Rivera , Hitender Oswal , Yutong Pan , Agamdeep Chopra , Jacob Ruzevick , Mehmet Kurt

L-shell ionisation and subsequent Coulomb explosion of fully deuterated methyl iodide, CD$_3$I, irradiated with hard x-rays has been examined by a time-of-flight multi-ion coincidence technique. The core vacancies relax efficiently by Auger…

We perform a comprehensive analysis of complete fusion cross section data with the aim to derive, in a completely data-driven way, a model suitable to predict the integrated cross section of the fusion between light to medium mass nuclei at…

Nuclear Experiment · Physics 2022-12-07 Daniele Dell'Aquila , Brunilde Gnoffo , Ivano Lombardo , Francesco Porto , Marco Russo

Power dissipation in electromagnetic absorbers is a quadratic function of the incident fields. To characterize an absorber, one needs to deal with the coupling that may occur between different excitations. Energy Absorption Interferometry…