MRX: A differentiable 3D MHD equilibrium solver without nested flux surfacesThis article introduces a new 3D magnetohydrodynamic (MHD) equilibrium solver, based on the concept of admissible variations of B, p that allows for magnetic relaxation of a magnetic field in a…Tobias Blickhan, Julianne Stratton, Alan A. Kaptanoglu·Oct 30, 2025SaveLearn
Patch-MLP-Based Predictive Control: Simulation of Upstream Pointing Stabilization for PHELIX Laser SystemHigh-energy laser facilities such as PHELIX at GSI require excellent beam pointing stability for reproducibility and relative independence for future experiments. Beam pointing stability has been…Jiaying Wang, Jonas Benjamin Ohland, Yen-Yu Chang et al.·Oct 30, 2025SaveLearn
Generative Artificial Intelligence for Air Shower SimulationThe detailed simulation of extensive air showers, produced by primary cosmic rays interacting in the atmosphere, is a task that is traditionally undertaken by means of Monte Carlo methods. These…C. Bozza, A. Calivà, A. De Caro et al.·Oct 30, 2025SaveLearn
Coupled Aerodynamic-Electromagnetic Modeling for RCS Estimation of Million-Scale Chaff Clouds with Arbitrarily Curved 3D GeometriesAccurate prediction of the radar cross section (RCS) of chaff clouds requires careful consideration of aerodynamic effects, as the orientation and spatial distribution of individual chaff elements…Chung Hyun Lee, Bowoo Jang, Kyoungil Kwon et al.·Oct 29, 2025SaveLearn
Equation Discovery, Parametric Simulation, and Optimization Using the Physics-Informed Neural Network (PINN) Method for the Heat Conduction ProblemIn this study, the capabilities of the Physics-Informed Neural Network (PINN) method are investigated for three major tasks: modeling, simulation, and optimization in the context of the heat…Ehsan Ghaderi, Mohamad Ali Bijarchi, Siamak Kazemzadeh Hannani et al.·Oct 29, 2025SaveLearn
Bayesian MINFLUX localization microscopyMINFLUX microscopy allows for localization of fluorophores with nanometer precision using targeted scanning with an illumination profile with a minimum. However, current scanning patterns and the…Steffen Schultze, Helmut Grubmüller·Oct 29, 2025SaveLearn
Six-Dimensional Movable Antenna Enabled Wideband THz CommunicationsIn this paper, we investigate a six-dimensional movable antenna (6DMA)-enabled wideband terahertz (THz) communication system with sub-connected hybrid beamforming architecture at the base station…Wencai Yan, Wanming Hao, Yajun Fan et al.·Oct 29, 2025SaveLearn
Breaking the Timescale Barrier: Generative Discovery of Conformational Free-Energy Landscapes and Transition PathwaysMolecular transitions -- such as protein folding, allostery, and membrane transport -- are central to biology yet remain notoriously difficult to simulate. Their intrinsic rarity pushes them beyond…Chenyu Tang, Mayank Prakash Pandey, Cheng Giuseppe Chen et al.·Oct 28, 2025SaveLearn
Hybrid Neural Interpolation of a Sequence of Wind FlowsRapid and accurate urban wind field prediction is essential for modeling particle transport in emergency scenarios. Traditional Computational Fluid Dynamics (CFD) approaches are too slow for…Ameir Shaa, Claude Guet, Xiasu Yang et al.·Oct 28, 2025SaveLearn
Fast integration method for averaging polydisperse bubble population dynamicsEnsemble-averaged polydisperse bubbly flow models require statistical moments of the evolving bubble size distribution. Under step forcing, these moments reach statistical equilibrium in finite time.…Spencer H. Bryngelson·Oct 27, 2025SaveLearn
Using "AI Poincare" to analyze non-linear integrable opticsThis study dives into the applicability of using automated discovery of conserved quantities in dynamical systems relevant to accelerator physics. Specifically, we explore the performance of AI…Lazare Osmanov, Nilanjan Banerjee·Oct 26, 2025SaveLearn
A DSMC-PIC coupling method for the Vlasov-Maxwell-Landau systemWe present a numerical framework for the simulation of collisional plasma dynamics, based on a coupling between Direct Simulation Monte Carlo (DSMC) and Particle-in-Cell (PIC) methods for the…Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella·Oct 25, 2025SaveLearn
Reduced Floating-Point Precision Implicit Monte CarloThis work demonstrates algorithms to accurately compute solutions to thermal radiation transport problems using a reduced floating-point precision implementation of the Implicit Monte Carlo method.…Simon Butson, Mathew Cleveland, Alex Long et al.·Oct 24, 2025SaveLearn
Fast adaptive discontinuous basis sets for electronic structureWe develop a discontinuous Galerkin (DG) framework for automatically constructing adaptive basis sets for electronic structure calculations. By allowing basis functions to be discontinuous across…Yulong Pan, Michael Lindsey·Oct 24, 2025SaveLearn
Phase-Field/Discontinuity Capturing operator for direct van der Waals simulation (DVS)Discontinuity capturing (DC) operators are commonly employed to numerically solve problems involving sharp gradients in the solution. Despite their success, the application of DC operators to the…Tianyi Hu, Thomas J. R. Hughes, Guglielmo Scovazzi et al.·Oct 24, 2025SaveLearn
ComProScanner: A multi-agent based framework for composition-property structured data extraction from scientific literatureSince the advent of various pre-trained large language models, extracting structured knowledge from scientific text has experienced a revolutionary change compared with traditional machine learning…Aritra Roy, Enrico Grisan, John Buckeridge et al.·Oct 23, 2025SaveLearn
Comparative Analysis of Mechanical Stability and Biomarkers of Commercial and Modified Intraocular Lens (IOL) Models: A Numerical and Experimental ApproachThis study comprehensively investigates the mechanical stability of intraocular lenses (IOLs) - critical components in cataract surgery - by analyzing their haptic designs. Three commercial models…Taner Karateke, Abdullah Mevlut Mutluel·Oct 22, 2025SaveLearn
Machine-learned domain partitioning for computationally efficient coupling of continuum and particle simulations of membrane fabricationAll simulation approaches eventually face limits in computational scalability when applied to large spatiotemporal domains. This challenge becomes especially apparent in molecular-level particle…Matthias Busch, Gregor Häfner, Jiayu Xie et al.·Oct 21, 2025SaveLearn
Stable rational approximations for parabolic equation methodsModern parabolic equation (PE) methods for wave propagation rely on application of a variety of fractional-powered differential operators. Rational approximations of these operators need to properly…Adith Ramamurti, Joseph F. Lingevitch, Jonathan C. Lighthall et al.·Oct 21, 2025SaveLearn
LENNs: Locally Enhanced Neural Networks for High-Fidelity Modeling in Solid MechanicsDespite prior advances in PINNs, significant challenges remain in localized solid mechanics problems because of the limitations of single network formulations in simultaneous resolution of smooth…Zhihong Lai, Luyang Zhao, Qian Shao·Oct 21, 2025SaveLearn
Inverse analysis for the identification of temporal and spatial characteristics of a short super-Gaussian laser pulse interacting with a solid plateIn this paper, the results of numerical experiments verifying a novel setup for laser beam profiling are presented. The experimental setup is based on infrared thermography and includes laser beam…Karol Pietrak, Piotr Łapka, Małgorzata Kujawińska·Oct 21, 2025SaveLearn
Special Relativistic Smoothed Particle Hydrodynamics Based on Riemann SolverThis paper proposes a novel numerical method based on Godunov Smoothed Particle Hydrodynamics for special relativistic fluid dynamics. Our method utilizes a Riemann solver to describe shock,…Kanta Kitajima, Shu-ichiro Inutsuka, Izumi Seno·Oct 21, 2025SaveLearn
Committors without DescriptorsThe study of rare events is one of the major challenges in atomistic simulations, and several enhanced sampling methods towards its solution have been proposed. Recently, it has been suggested that…Peilin Kang, Jintu Zhang, Enrico Trizio et al.·Oct 20, 2025SaveLearn
Performance of artificial neural networks in an inverse problem of laser beam diagnosticsResults are presented for the numerical verification of a method devised to identify an unknown spatio-temporal distribution of heat flux that occurs at the surface of thin aluminum plate, as a…Karol Pietrak, Radosław Muszyński, Adam Marek et al.·Oct 20, 2025SaveLearn
Large-scale stochastic propagation method beyond the sequential approachThe O(N) stochastic propagation method, which relies on the numerical solution of the time-dependent Schr\"odinger equation using random initial states, is widely used in large-scale…Zhichang Fu, Yunhai Li, Weiqing Zhou et al.·Oct 20, 2025SaveLearn