Conditional Flow Matching for Probabilistic Downscaling of Maximum 3-day Snowfall in AlaskaPrecipitation in complex terrain is governed by orographic processes operating at scales of a few kilometers, yet climate models typically run at resolutions of 50--100~km where this topographic…Douglas Brinkerhoff, Elizabeth Fischer·Apr 28, 2026SaveLearn
Microstructure engineering of Ti-6Al-4V in laser powder bed fusion via 1D thermal modeling and supporting experimentsThe microstructure of Ti-6Al-4V has a decisive impact on its mechanical performance; however, controlling phase composition during Laser Powder Bed Fusion (LPBF) remains difficult because of the…Carina van der Linde, Iason Sideris, Léa Deillon et al.·Apr 27, 2026SaveLearn
An axion framework for Particle-in-Cell codes with Monte-Carlo sampling: emission, absorption, and detailed balance in plasmasWe present an extension of the OSIRIS particle-in-cell (PIC) code that introduces an axion macroparticle species and three axion-production channels commonly used in thermal-plasma axion…Miles Radford, Ahmed Alsulami, Bertrand Martinez et al.·Apr 27, 2026SaveLearn
On Reconstructing Conservative and Primitive Variables: An Eigenvector Analysis on Curvilinear GridsIn wall-modelled large-eddy simulations of hypersonic boundary-layer transition, Hoffmann, Chamarthi and Frankel reported that characteristic reconstruction based on conservative-variable…Amareshwara Sainadh Chamarthi·Apr 27, 2026SaveLearn
Learning subgrid interfacial area in two-phase flows with regime-dependent inductive biasesThe reliability of machine learning in multiscale physical systems depends on how physical structure is embedded into the learning process. We investigate this in the context of turbulent multiphase…Anirban Bhattacharjee, Luis H. Hatashita, Suhas S. Jain·Apr 27, 2026SaveLearn
Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy AlloysHigh-entropy alloys (HEAs) have attracted growing attention for their exceptional mechanical and thermal properties arising from complex atomic configurations. In this paper, we propose crystal…Takanori Kotama, Yang Huang·Apr 26, 2026SaveLearn
LARA: Validation-Driven Agentic Supercomputer Workflows for Atomistic ModelingLarge language models (LLMs) and agentic systems have recently demonstrated potential for automating scientific workflows, including atomistic simulations. However, their deployment in…William Dawson, Louis Beal, Yoann Curé et al.·Apr 24, 2026SaveLearn
A Thin Sheet Volume Integral Equation Solver for Simulation of Bianisotropic MetasurfacesA thin-sheet (TS) volume integral equation (VIE) formulation incorporating generalized sheet transition conditions (GSTCs) is presented for the simulation of three-dimensional (3D) bianisotropic…Sebastian Celis Sierra, Meruyert Khamitova, Ran Zhao et al.·Apr 23, 2026SaveLearn
Enabling Biomolecular Simulations with Neural Network Potentials in GROMACSNeural network potentials (NNPs) are rapidly changing the landscape of state-of-the-art molecular dynamics (MD) simulations. To make full use of this development, the community needs flexible,…Lukas Müllender, Berk Hess, Erik Lindahl·Apr 23, 2026SaveLearn
A High-Order Nodal Galerkin Formulation for the M\"uller Equation: Bypassing Divergence Conformity via Kernel CancellationThe M\"uller boundary integral equation for penetrable electromagnetic scattering is conventionally discretized using divergence-conforming basis functions, a restriction inherited from the PMCHWT…Yao Luo·Apr 23, 2026SaveLearn
SPRAY: A smoothed particle radiation hydrodynamics code for modeling high intensity laser-plasma interactionsHere we report the development of SPRAY, a massively parallel GPU accelerated, smoothed particle hydrodynamics (SPH)-based, radiation hydrodynamics (RHD) code designed specifically for simulating…Min Ki Jung, Hakhyeon Kim, Su-San Park et al.·Apr 22, 2026SaveLearn
Multiscale Assessment of Tritium Behavior in Preliminary Fusion Pilot Plant Design Using Surrogate Models in TMAP8The complexity and significance of multiscale phenomena in fusion energy systems make advanced modeling necessary for designing, optimizing, and safely deploying fusion plants. Tritium accountancy is…Lin Yang, Pierre-Clément A. Simon, Emre Yildirim et al.·Apr 21, 2026SaveLearn
Neural Operator Representation of Granular Micromechanics-based Failure EnvelopeMicromechanics-based granular models are widely used to predict the failure behavior of porous and particulate materials, including concrete, soils, foams, and biological tissues. Although these…Jinkyo Han, Payam Poorsolhjouy, Bahador Bahmani·Apr 21, 2026SaveLearn
Nonuniform Iterative Phasing Framework and Sampling Requirements for 3D Dynamical Inversion from Coherent Surface Scattering ImagingCoherent surface scattering imaging (CSSI) is an emerging experimental technique uniquely suited to probing the structure of thin nanostructures. In these experiments, a specimen is placed on a…Jeffrey J. Donatelli, Miaoqi Chu, Zixi Hu et al.·Apr 20, 2026SaveLearn
Consistent control of energy dissipation in non-spherical particle contact via a structure-preserving formulationThe control of energy dissipation in non-spherical particle contact remains an unresolved problem. Unlike spherical contact, where the interaction reduces to a one-dimensional normal oscillator, both…Y. T. Feng·Apr 20, 2026SaveLearn
Coarse-Grained Dynamics with Spatial Disorder and Non-Markovian MemoryWe introduce the spatial disorder-generalized Langevin equation (SD-GLE), a data-driven method for constructing coarse-grained (CG) dynamics in heterogeneous systems. Unlike conventional CG…Chuyi Liu, Yifeng Guan, Jingyuan Li et al.·Apr 18, 2026SaveLearn
Padé Approximation and Partition Function ZerosFisher zeros play a central role in the theoretical understanding of phase transitions. However, their computation requires knowledge of the density of states, which limits their practical…R. G. M. Rodrigues·Apr 18, 2026SaveLearn
Resonance Statistics -Informed Fitting Applied to Automated Cross Section EvaluationThis work investigates the use of resonance statistics for resonance evaluation to inform spin group assignment and an alternative fitting objective function beyond the commonly used chi-squared…William Fritsch, Noah Walton, Justin Loring et al.·Apr 17, 2026SaveLearn
From Code to Figure: A FAIR-Aligned Data Provenance Chain for Reproducible Simulation Research in Numerical PhysicsComputational physics increasingly depends on large simulation datasets generated by software that remains under active development for many years. In such settings, reproducibility requires not only…Markus Uehlein, Tobias Held, Christopher Seibel et al.·Apr 17, 2026SaveLearn
Probabilistic Upscaling of Hydrodynamics in Geological Fractures Under UncertaintyFlow and transport in fractured geological media are strongly controlled by aperture heterogeneity and uncertainty in subsurface characterisation, yet most upscaling approaches rely on deterministic…Sarah Perez, Florian Doster, Hannah Menke et al.·Apr 17, 2026SaveLearn
A Structure-Preserving Graph Neural Solver for Parametric Hyperbolic Conservation LawsHyperbolic conservation laws govern a wide range of transport-driven dynamics featuring shocks, contact discontinuities, and complex wave interactions, posing distinct challenges for…Jiamin Jiang, Shanglin Lv, Jingrun Chen·Apr 17, 2026SaveLearn
qFHRR: Rethinking Fourier Holographic Reduced Representations through Quantized Phase and Integer ArithmeticFourier Holographic Reduced Representations (FHRR) provide a compositional framework for encoding structured information with complex-valued hypervectors. FHRR rely on floating-point arithmetic,…Shay Snyder, Hamed Poursiami, Maryam Parsa·Apr 16, 2026SaveLearn
Sharp-interface VOF method for phase-change simulations on unstructured meshesUnstructured meshes are among the most versatile approaches for capturing non-canonical geometries in fluid dynamics simulations. Despite this, most high-fidelity first-principles phase-change models…Jan Kren, Bojan Ničeno, Yohei Sato·Apr 16, 2026SaveLearn
Spectrally Accurate Simulation of Axisymmetric Vesicle DynamicsWe present a meshless numerical method for simulating the dynamics of axisymmetric vesicles in a viscous medium. Key innovations include: (1) adaptive reparameterization based on local length scales,…M. A. Shishkin·Apr 16, 2026SaveLearn
NEPMaker: Active learning of neuroevolution machine learning potential for large cellsMachine learning potentials (MLPs) achieve near first-principles accuracy but often fail for atomic environments outside the training distribution. Active learning can mitigate this limitation;…Junjie Wang, Shuning Pan, Haoting Zhang et al.·Apr 15, 2026SaveLearn