A Sparsity-Promoting Electromagnetic Inversion Method Regularized by 1 / 2-Norm of the Model GradientA nonlinear EM inversion method regularized by 1 / 2-norm of the model gradient is proposed. The 1 / 2-norm, defined as the ratio of 1-norm to 2-norm, exhibits a…Lingqi Gao, Hakan Bagci·Sep 6, 2026SaveLearn
Physical-Field Reconstruction from Sparse Observations: When Are Diffusion Models Preferable to Deterministic Regression?Reconstructing physical fields from sparse observations is central to system identification, forecasting, and control, yet sparse measurements generally underdetermine the full field. This makes…Hao Zhou, Rui Zhang, Qi Wang et al.·Sep 5, 2026SaveLearn
Reduced Precision Diffusion Synthetic Acceleration for SN Neutron Transport in LLNL's ARDRA using HypreFast solution times in production discrete ordinates transport codes often require the use of diffusion synthetic acceleration (DSA). A good implementation of DSA will substantially reduce the number…Joanna Piper Morgan, Mario Ivan Ortega·Sep 3, 2026SaveLearn
Spectral and Eigenvector Crossovers in Random Mixed GraphsWe study the spectral and eigenvector properties of random mixed graphs, combining undirected and directed interactions, using random matrix theory (RMT). The network is represented by a Hermitian…Himanshu Shekhar, Hrishidev Unni, Santosh Kumar et al.·Sep 3, 2026SaveLearn
Stochastic Operator Inference for reduced-order modeling of capillary wave turbulence using experimental measurementsModeling complex physical phenomena directly from experimental data poses fundamental challenges: measurement devices introduce noise and biases into the data, the governing equations are often…Hyeonghun Kim, Lei Zhang, James Friend et al.·Sep 3, 2026SaveLearn
Computing high-order mixed derivatives in physics-informed neural networks using multi-index Bell polynomialsPhysics-informed neural networks for high-order partial differential equations require mixed input derivatives and their gradients with respect to the network parameters. Standard implementations…Fumihiro Imoto·Sep 3, 2026SaveLearn
BU-MBAR: A hybrid solution strategy for the MBAR equationsThe multi-state Bennett acceptance ratio (MBAR) equations combine the data collected under different thermodynamic conditions in a statistically optimal way. Due to their practical importance,…Fabio Müller, Francesco Alesiani, Henrik Christiansen·Sep 3, 2026SaveLearn
Learning Spectrally Optimised Mesh-Free DiscretisationsNumerical methods for partial differential equations (PDEs) discretise differential operators, ideally reproducing the action of the continuous operators across all wavenumbers permitted by a given…Lucas Gerken Starepravo, Henry Broadley, Steven Lind et al.·Sep 2, 2026SaveLearn
RBMD 2.0: Random batch molecular dynamics package for large-scale simulations on multi-GPU architecturesLarge-scale molecular dynamics simulations of particle systems on multi-GPU architectures are often constrained by the computational and communication costs of nonbonded force evaluation. We present…Qi Zhou, Yongfa Guo, Jincheng Zhong et al.·Sep 2, 2026SaveLearn
Physics-informed Learning for Orbital Uncertainty Propagation with Error BoundsThe Fokker-Planck partial differential equation (FP-PDE) governs uncertainty evolution in stochastic dynamical systems. In orbital dynamics, solving the FP-PDE is challenging because of nonlinear…Chun-Wei Kong, Morteza Lahijanian, Jay McMahon·Sep 1, 2026SaveLearn
Learning a general class of admissible multi-species collision operators from molecular dynamicsWe develop a structure-preserving, data-driven collision operator for spatially homogeneous multi-species kinetic systems from molecular dynamics (MD). The operator consists of diagonal…Yue Zhao, Andrew Christlieb, Huan Lei·Sep 1, 2026SaveLearn
A Non-Isothermal Viscoplastic Constitutive Model for Clay Slip SurfacesClayey slip surfaces control the reactivation and long-term deformation of slow-moving landslides and may experience thermal fluctuations from climate, seasonal ground-temperature changes, or…Saeed Tourchi, Ehsan Badakhshan, Milad Jabbarzadeh et al.·Sep 1, 2026SaveLearn
Mixture of Polyconvex Neural Potentials for Parametric Hyperelasticity: Towards Foundation Material ModelsHyperelastic constitutive models enable modeling large deformations in elastic solids. In common practice, a strain energy density function is prescribed in advance and model-specific parameters are…Steven J. Yang, Govinda Anantha Padmanabha, D. Thomas Seidl et al.·Aug 31, 2026SaveLearn
OpenMUSTANC (MUltiple Scattering Theory At Nanoplasmonic Cavities): A MATLAB toolbox for the simulation of Plasmonic Sphere AggregatesMesoscopic physical models, including the Hydrodynamic Drude Model (HDM), the Generalized Nonlocal Optical Response (GNOR) Model, and the Surface Response Model (SRM), have been proposed to…Xin Zheng, Christos Mystilidis, Christos Tserkezis et al.·Aug 31, 2026SaveLearn
Cartesian tensor equivariant machine-learning force field for spin-dependent atomistic simulationsMagnetic materials exhibit an intricate coupling between atomic structure and spin degrees of freedom, posing a fundamental challenge for atomistic simulations across experimentally relevant length…Junjie Wang, Yijie Zhu, Zhongwei Zhang et al.·Aug 31, 2026SaveLearn
A wide-range temperature-dependent deep potential for sodium with near-experimental accuracy from melting to the critical pointWe construct temperature-dependent deep potentials for sodium using finite-temperature DFT data obtained with the PBE, AM05, and r2SCAN exchange-correlation functionals and investigate the…G. S. Demyanov, D. V. Minakov, V. B. Fokin et al.·Aug 30, 2026SaveLearn
Characteristic Mode Analysis of Composite Nanostructures using a Coupled System of Volume Integral and Hydrodynamic EquationsFull-structure and sub-structure characteristic mode analysis (CMA) formulations are developed for composite metallic--dielectric nanostructures based on a coupled system of volume integral equations…Meruyert Khamitova, Ran Zhao, Doolos Aibek Uulu et al.·Aug 30, 2026SaveLearn
Modelling platelet dynamics in blood flow: an unresolved DEM approachComputational models of blood flow are caught between fully resolved cell-based methods, which faithfully reproduce the dynamics of individual cells but are computationally prohibitive at vessel…Francesca Zucchelli, Carmine Porcaro, Mahdi Saeedipour et al.·Aug 28, 2026SaveLearn
Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent DecodersState estimation in magnetohydrodynamic flows is critical for real-time monitoring of liquid metal blankets in tokamak fusion reactors. Due to the multiphysics nature of these phenomena,…Claudio Scardino, Stefano Riva, Carolina Introini et al.·Aug 28, 2026SaveLearn
Promoting Green Computing in High Energy Physics and AstrophysicsThis research topic aims to explore and promote strategies for green computing in high-energy physics and astrophysics. The primary objectives include assessing current energy consumption patterns,…Vasiliki A. Mitsou, Andreas Redelbach, Eleni Vardoulaki·Aug 28, 2026SaveLearn
A Synthetic Iterative Scheme for Non-Gray Phonon Boltzmann Transport Equation with Dual Relaxation TimesSolving the non-gray Callaway phonon Boltzmann transport equation allows a dual-relaxation-time approximation of separate normal and resistive scatterings and resolving the mode-dependent spectrum.…Dingtao Shen, Jia Liu, Wei Su·Aug 28, 2026SaveLearn
Accelerated S-NFC for Million-Chaff RCS Computation Using Low-Rank Compression of Concatenated Block RowsSparsification via neglecting far-field coupling (S-NFC) enables fast full-wave radar-cross-section analysis of large-scale chaff clouds by retaining only significant local electromagnetic…Dong-Yeop Na, Somyeong Lee, Chung Hyun Lee·Aug 28, 2026SaveLearn
Higher-Order Topological Phase in the Two-Dimensional Type-IV Magnet MgCr2O4Type-IV two-dimensional (2D) magnetism-a newly classified collinear magnetic phase featuring nonrelativistic spin degeneracy and spin-orbit-coupling-induced momentum-dependent spin splitting-extends…Xiaorong Zou, Hyeon Suk Shin, Yanmei Zang et al.·Aug 28, 2026SaveLearn
Vectorized Symmetric and Fermionic Tensor Network Implementations for GPU-Accelerated Variational Monte CarloVariational Monte Carlo (VMC) calculations based on tensor networks (TN) have recently achieved competitive accuracy in ground-state calculations of strongly correlated spin and fermionic systems.…Si-Jing Du, Johnnie Gray, Ao Chen et al.·Aug 28, 2026SaveLearn
Automatic generation of exchange-correlation response kernelsComputing density-functional response properties requires contracting derivatives of the exchange--correlation (xc) energy with perturbed densities on a grid. While the xc functional's…Susi Lehtola·Aug 26, 2026SaveLearn