A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulationsThe exact numerical simulation of plasma turbulence is one of the assets and challenges in fusion research. For grid-based solvers, sufficiently fine resolutions are often unattainable due to the…Theresa Pollinger, Johannes Rentrop, Dirk Pflüger et al.·Sep 23, 2022SaveLearn
Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systemsNeural Networks as fast physics simulators have a large potential for many engineering design tasks. Prerequisites for a wide-spread application are an easy-to-use workflow for generating training…Monika Stipsitz, Helios Sanchis-Alepuz·Sep 21, 2022SaveLearn
Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditionsThe authors have numerically studied how to enhance reservoir computing performance by thoroughly extracting their spin-wave device potential for higher-dimensional information generation. The…Ryosho Nakane, Akira Hirose, Gouhei Tanaka·Sep 21, 2022SaveLearn
Towards ML-based diagnostics of focused laser pulseCurrently, machine learning (ML) methods are widely used to process the results of physical experiments. In some cases, due to the limited amount of experimental data, ML-models can be pre-trained on…Y. R. Rodimkov, V. D. Volokitin, I. B. Meyerov et al.·Sep 20, 2022SaveLearn
Code-Verification Techniques for the Method-of-Moments Implementation of the Magnetic-Field Integral EquationFor computational physics simulations, code verification plays a major role in establishing the credibility of the results by assessing the correctness of the implementation of the underlying…Brian A. Freno, Neil R. Matula·Sep 19, 2022SaveLearn
Snowmass 2021 Computational Frontier CompF4 Topical Group Report: Storage and Processing Resource AccessComputing plays a significant role in all areas of high energy physics. The Snowmass 2021 CompF4 topical group's scope is facilities R&D, where we consider "facilities" as the computing hardware and…W. Bhimji, D. Carder, E. Dart et al.·Sep 19, 2022SaveLearn
CompF2: Theoretical Calculations and Simulation Topical Group ReportThis report summarizes the work of the Computational Frontier topical group on theoretical calculations and simulation for Snowmass 2021. We discuss the challenges, potential solutions, and needs…Peter Boyle, Kevin Pedro, Ji Qiang·Sep 16, 2022SaveLearn
Reinterpretation and Long-Term Preservation of Data and CodeCareful preservation of experimental data, simulations, analysis products, and theoretical work maximizes their long-term scientific return on investment by enabling new analyses and reinterpretation…Stephen Bailey, K. S. Cranmer, Matthew Feickert et al.·Sep 16, 2022SaveLearn
JefiPIC: A 3-D Full Electromagnetic Particle-in-Cell Simulator Based on Jefimenko's Equations on GPUThis paper presents a novel 3-D full electromagnetic particle-in-cell (PIC) code called JefiPIC, which uses Jefimenko's equations as the electromagnetic (EM) field solver through a full-space…Jiannan Chen, Jun-Jie Zhang, Xueming Li et al.·Sep 16, 2022SaveLearn
Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine LearningThe rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. Far beyond applications of standard ML tools…Phiala Shanahan, Kazuhiro Terao, Daniel Whiteson·Sep 15, 2022SaveLearn
Targeting high symmetry in structure predictions by biasing the potential energy surfaceGround state structures found in nature are in many cases of high symmetry. But structure prediction methods typically render only a small fraction of high symmetry structures. Especially for large…Hannes Huber, Martin Sommer, Moritz Gubler et al.·Sep 12, 2022SaveLearn
Resonant mode coupling approximation for calculation of optical spectra of photonic crystal slabs. Part IIWe propose further development of the resonant mode coupling approximation for the calculation of optical spectra of stacked periodic nanostructures in terms of the scattering matrix. We previously…Dmitrii A. Gromyko, Sergey A. Dyakov, Sergei G. Tikhodeev et al.·Sep 10, 2022SaveLearn
Efficient parallel strategy for molecular plasmonics -- a numerical tool for integrating Maxwell-Schrodinger equations in three dimensionsAn efficient parallelization approach to simulate optical properties of ensembles of quantum emitters in realistic electromagnetic environments is considered. It relies on balancing computing load of…Maxim Sukharev·Sep 9, 2022SaveLearn
numerical caseology by Lagrange interpolation for the 1D neutron transport equation in a slabHere, we are concerned with a new, highly precise, numerical solution to the 1D neutron transport equation based on Cases analytical singular eigenfunction expansion (SEE). While a considerable…Barry Ganapol·Sep 8, 2022SaveLearn
An Unstructured Mesh Approach to Nonlinear Noise Reduction for Coupled SystemsTo address noise inherent in electronic data acquisition systems and real world sources, Araki et al. [Physica D: Nonlinear Phenomena, 417 (2021) 132819] demonstrated a grid based nonlinear technique…Aaron Kirtland, Jonah Botvinick-Greenhouse, Marianne DeBrito et al.·Sep 7, 2022SaveLearn
A Comprehensive Study of Adjoint-Based Optimization of Non-Linear Systems with Application to Burgers' EquationIn the context of adjoint-based optimization, nonlinear conservation laws pose significant problems regarding the existence and uniqueness of both direct and adjoint solutions, as well as the…Alexandru Fikl, Vincent Le Chenadec, Taraneh Sayadi et al.·Sep 7, 2022SaveLearn
The Development of a Multi-Physics Approach for Modelling the Response of Aerospace Fastener Assemblies to Lightning AttachmentThis work is concerned with the development of a numerical modelling approach for studying the time-accurate response of aerospace fasteners subjected to high electrical current loading from a…William Bennett, Stephen Millmore, Nikolaos Nikiforakis·Sep 7, 2022SaveLearn
A robust and memory-efficient transition state search method for complex energy landscapesLocating transition states is crucial for investigating transition mechanisms in wide-ranging phenomena, from atomistic to macroscale systems. Existing methods, however, can struggle in problems with…Samuel J. Avis, Jack R. Panter, Halim Kusumaatmaja·Sep 6, 2022SaveLearn
A variational neural network approach for glacier modelling with nonlinear rheologyIn this paper, we propose a mesh-free method to solve full stokes equation which models the glacier movement with nonlinear rheology. Our approach is inspired by the Deep-Ritz method proposed in…Tiangang Cui, Zhongjian Wang, Zhiwen Zhang·Sep 5, 2022SaveLearn
Faster and more accurate geometrical-optics optical force calculation using neural networksOptical forces are often calculated by discretizing the trapping light beam into a set of rays and using geometrical optics to compute the exchange of momentum. However, the number of rays sets a…David Bronte Ciriza, Alessandro Magazzù, Agnese Callegari et al.·Sep 5, 2022SaveLearn
Modeling frequency shifts of collective bubble resonances with the boundary element methodIncreasing the number of closely-packed air bubbles immersed in water changes the frequency of the Minnaert resonance. The collective interactions between bubbles in a small ensemble are primarily in…Rudyard Jerez Boudesseul, Elwin van 't Wout·Sep 2, 2022SaveLearn
Ab initio Static Exchange-Correlation Kernel across Jacob's Ladder without functional derivativesThe electronic exchange-correlation (XC) kernel constitutes a fundamental input for the estimation of a gamut of material properties such as the dielectric characteristics, the thermal and electrical…Zhandos A. Moldabekov, Maximilian Böhme, Jan Vorberger et al.·Sep 2, 2022SaveLearn
Sampling Rare Event Energy Landscapes via Birth-Death Augmented DynamicsA common problem that affects simulations of complex systems within the computational physics and chemistry communities is the so-called sampling problem or rare event problem where proper sampling…Benjamin Pampel, Simon Holbach, Lisa Hartung et al.·Sep 1, 2022SaveLearn
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systemsWe study a regularized interacting particle method for computing aggregation patterns and near singular solutions of a Keller-Segal (KS) chemotaxis system in two and three space dimensions, then…Zhongjian Wang, Jack Xin, Zhiwen Zhang·Aug 31, 2022SaveLearn
Iterative Calculation of Characteristic Modes Using Arbitrary Full-wave SolversAn iterative algorithm is adopted to construct approximate representations of matrices describing the scattering properties of arbitrary objects. The method is based on the implicit evaluation of…Johan Lundgren, Kurt Schab, Miloslav Capek et al.·Aug 31, 2022SaveLearn