Perfectly Matched Layer implementation for E-H fields and Complex Wave Envelope propagation in the Smilei PIC codeThe design of absorbing boundary conditions (ABC) in a numerical simulation is a challenging task. In the best cases, spurious reflections remain for some angles of incidence or at certain wave…Guillaume Bouchard, Arnaud Beck, Francesco Massimo et al.·Sep 10, 2024SaveLearn
FEAST nonlinear eigenvalue algorithm for GW quasiparticle equationsThe use of Green's function in quantum many-body theory often leads to nonlinear eigenvalue problems, as Green's function needs to be defined in energy domain. The GW approximation method is one of…Dongming Li, Eric Polizzi·Sep 10, 2024SaveLearn
A robust fourth-order finite-difference discretization for the strongly anisotropic transport equation in magnetized plasmasWe propose a second-order temporally implicit, fourth-order-accurate spatial discretization scheme for the strongly anisotropic heat transport equation characteristic of hot, fusion-grade plasmas.…L. Chacon, Jason Hamilton, Natalia Krasheninnikova·Sep 9, 2024SaveLearn
The design, verification, and applications of Hotspice: a Monte Carlo simulator for artificial spin iceWe present Hotspice, a Monte Carlo simulation software designed to capture the dynamics and equilibrium states of Artificial Spin Ice (ASI) systems with both in-plane (IP) and out-of-plane (OOP)…Jonathan Maes, Diego De Gusem, Ian Lateur et al.·Sep 9, 2024SaveLearn
A framework to compute resonances arising from multiple scatteringNumerous natural and technological phenomena are governed by resonances. In nanophotonics, resonances often result from the interaction of several optical elements. Controlling these resonances is an…Jan David Fischbach, Fridtjof Betz, Nigar Asadova et al.·Sep 9, 2024SaveLearn
A Hamiltonian structure-preserving discretization of Maxwell's equations in nonlinear mediaA simple Hamiltonian modeling framework for general models in nonlinear optics is given. This framework is specialized to describe the Hamiltonian structure of electromagnetic phenomena in cubicly…William Barham, Yaman Güçlü, Philip J. Morrison et al.·Sep 7, 2024SaveLearn
A Hybrid Discrete Exterior Calculus Discretization and Fourier Transform of the Incompressible Navier-Stokes Equations in 3DThe simulation of fluid flow problems, specifically incompressible flows governed by the Navier-Stokes equations (NSE), holds fundamental significance in a range of scientific and engineering…Abdullah Abukhwejah, Pankaj Jagad, Ravi Samtaney et al.·Sep 7, 2024SaveLearn
Performance Portable Monte Carlo Neutron Transport in MCDC via NumbaFinding a software engineering approach that allows for portability, rapid development, and open collaboration for high-performance computing on GPUs and CPUs is a challenge. We implement a…Joanna Piper Morgan, Ilham Variansyah, Braxton Cuneo et al.·Sep 7, 2024SaveLearn
Efficient prediction of potential energy surface and physical properties with Kolmogorov-Arnold NetworksThe application of machine learning methodologies for predicting properties within materials science has garnered significant attention. Among recent advancements, Kolmogorov-Arnold Networks (KANs)…Rui Wang, Hongyu Yu, Yang Zhong et al.·Sep 5, 2024SaveLearn
AI-Machine Learning-Enabled Tokamak Digital TwinIn addressing the Department of Energy's April, 2022 announcement of a Bold Decadal Vision for delivering a Fusion Pilot Plant by 2035, associated software tools need to be developed for the…William Tang, Eliot Feibush, Ge Dong et al.·Sep 4, 2024SaveLearn
Perspective: Floquet engineering topological states from effective models towards realistic materialsWith significant advances in classifying and cataloguing topological matter, the focus of topological physics has shifted towards quantum control, particularly the creation and manipulation of…Fangyang Zhan, Rui Chen, Zhen Ning et al.·Sep 4, 2024SaveLearn
Radiative hydrodynamic equations with nonequilibrium radiative transferThis paper presents a kinetic model for the coupled evolution of radiation, electrons, and ions in a radiation plasma system. The model is solved using two methods. The gas-kinetic scheme (GKS) for…Mingyu Quan, Xiaojian Yang, Yufeng Wei et al.·Sep 3, 2024SaveLearn
Causality-guided adaptive sampling method for physics-informed neural networksCompared to purely data-driven methods, a key feature of physics-informed neural networks (PINNs) - a proven powerful tool for solving partial differential equations (PDEs) - is the embedding of PDE…Shuning Lin, Yong Chen·Sep 3, 2024SaveLearn
The qspec Python package: A physics toolbox for laser spectroscopyThe analysis of experimental results with Python often requires writing many code scripts which all need access to the same set of functions. In a common field of research, this set will be nearly…Patrick Müller, Wilfried Nörtershäuser·Sep 2, 2024SaveLearn
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering ProblemsIn this work, we propose a deep learning-based imaging method for addressing the multi-frequency electromagnetic (EM) inverse scattering problem (ISP). By combining deep learning technology with EM…Daoqi Liu, Tao Shan, Maokun Li et al.·Sep 2, 2024SaveLearn
Two-stage initial-value iterative physics-informed neural networks for simulating solitary waves of nonlinear wave equationsWe propose a new two-stage initial-value iterative neural network (IINN) algorithm for solitary wave computations of nonlinear wave equations based on traditional numerical iterative methods and…Jin Song, Ming Zhong, George Em Karniadakis et al.·Sep 2, 2024SaveLearn
Single MRT-featured Lattice Boltzmann Method (SmrtLBM)A novel single MRT-featured lattice Boltzmann method (SmrtLBM) is introduced. The intricate algorithm of the multiple-relaxation-time (MRT) collision operator is reimagined and distilled into a…Jian Guo Zhou·Sep 2, 2024SaveLearn
The role of sputtered atom and ion energy distribution in films deposited by Physical Vapor Deposition: A molecular dynamics approachWe present a comparative study of copper film growth with a constant energy neutral beam, thermal evaporation, dc magnetron sputtering, high-power impulse magnetron sputtering (HiP-IMS), and bipolar…Soumya Atmane, Maroussiak Alexandre, Amaël Caillard et al.·Sep 2, 2024SaveLearn
Data-Efficient Construction of High-Fidelity Graph Deep Learning Interatomic PotentialsMachine learning potentials (MLPs) have become an indispensable tool in large-scale atomistic simulations because of their ability to reproduce ab initio potential energy surfaces (PESs) very…Tsz Wai Ko, Shyue Ping Ong·Sep 2, 2024SaveLearn
Mixed Steklov-Neumann problem: asymptotic analysis and applications to diffusion-controlled reactionsWe consider the mixed Steklov-Neumann spectral problem for the modified Helmholtz equation in a bounded domain when the Steklov condition is imposed on a connected subset of the smooth boundary. In…Denis S. Grebenkov·Aug 30, 2024SaveLearn
FOS: A fully integrated open-source program for Fast Optical Spectrum calculations of nanoparticle mediaFOS, which means light in Greek, is an open-source program for Fast Optical Spectrum calculations of nanoparticle media. This program takes the material properties and a description of the system as…Daniel Carne, Joseph Peoples, Ziqi Guo et al.·Aug 30, 2024SaveLearn
Exploring Nonlinear System with Machine Learning: Chua and Lorenz Circuits AnalyzedNonlinear circuits serve as crucial carriers and physical models for investigating nonlinear dynamics and chaotic behavior, particularly in the simulation of biological neurons. In this study, Chua's…Zhe Wang, Haixia Fan, Jiyuan Zhang et al.·Aug 30, 2024SaveLearn
Joining simplified physics models with coarse grids to speed-up intractable 3D time-domain simulationsFull 3D modelling of time-domain electromagnetic data requires tremendous computational resources. Consequently, simplified physics models prevail in geophysics, using a much faster but approximate…Wouter Deleersnyder, Evert Slob·Aug 30, 2024SaveLearn
SOLAX: A Python solver for fermionic quantum systems with neural network supportNumerical modeling of fermionic many-body quantum systems presents similar challenges across various research domains, necessitating universal tools, including state-of-the-art machine learning…Louis Thirion, Philipp Hansmann, Pavlo Bilous·Aug 29, 2024SaveLearn
Automated computational workflows for muon spin spectroscopyPositive muon spin rotation and relaxation spectroscopy is a well established experimental technique for studying materials. It provides a local probe that generally complements scattering techniques…Ifeanyi J. Onuorah, Miki Bonacci, Muhammad M. Isah et al.·Aug 29, 2024SaveLearn