Multistability and state-switching in series-coupled resonant tunneling diodesResonant tunneling diodes (RTDs) embedded in an electrical circuit are known for their neuron-like response characteristics, which makes them promising candidates for neuromorphic applications. This…Jannis Waldmann, Jonnel Jaurigue, Kathy Lüdge·Jul 31, 2026SaveLearn
CodeJeNN: A simple C++ neural network generator for physics applicationsMachine learning has shown speedups for numerical methods in physics applications, but integrating Python-based libraries into high-performance C++ solvers creates performance bottlenecks. We present…Jay Arcities, Pavel Popov, Eric J Ching et al.·Jul 31, 2026SaveLearn
Fast and Accurate Foundation Models for Equivariant Machine-Learned Interatomic PotentialsMachine-learned interatomic potentials (MLIPs) have emerged as a transformative tool for computational materials science and chemistry, with universal potentials trained on large and diverse datasets…Seán R. Kavanagh, Chuin Wei Tan, Menghang Wang et al.·Jul 30, 2026SaveLearn
Performance Benchmarking: Software for the Density Matrix Renormalization GroupThe performance of scientific software often determines the scale of problems that can be solved in practice. As multiple implementations of the same algorithm emerge, systematic evaluation is needed…Per Sehlstedt, Paolo Bientinesi, Lars Karlsson·Jul 30, 2026SaveLearn
Astroid Spinodal Boundary in Phase-Based Ising MachinesOscillator Ising machines (OIMs) and dynamical Ising machines (DIMs) encode binary spins in phase states stabilized by second-harmonic injection (SHI). In a coupled network, the competition between…Malihe Farasat, Nikhil Shukla·Jul 28, 2026SaveLearn
Reframing the coupling force of adaptive resolution simulation in terms of the Liouville-type hierarchy for open systemsIn this work, we present a novel perspective on the coupling force employed to compensate the interface artifacts prevalent in adaptive resolution simulations (AdResS) of open many-particle systems.…Julian F. Hille, Rupert Klein·Jul 27, 2026SaveLearn
Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian EigenmodesFinite-time driving of stochastic systems generates excess dissipation, causing the evolving probability distribution to lag behind the instantaneous equilibrium, and consequently degrading the…Sandeep Suresh Cranganore, Sebastian Lehner, Johannes Brandstetter et al.·Jul 27, 2026SaveLearn
Multi-Fidelity Learning with Shallow Recurrent Decoders for Multi-Physics ApplicationsIn reactor physics, neutronics and multi-physics phenomena can be modelled at different fidelity levels. High-fidelity models based on the Boltzmann transport equation, multi-group diffusion, or…Stefano Riva, Carolina Introini, J. Nathan Kutz et al.·Jul 27, 2026SaveLearn
Tunable mesoscopic numerical model for bacterial biofilmsWe present a tunable mesoscale model to provide a basis for future rheological calculations of of bacterial biofilms, explicitly incorporating reversible crosslinking within the extracellular…J. Martin-Roca, B. Wu-Zhang, J. Oller et al.·Jul 26, 2026SaveLearn
Self-consistent orbital-free nuclear density functional theory with a physics-constrained learned nonlocal kinetic energy functionalNonlocal kinetic-energy density functionals (KEDFs) can encode nuclear shell structure in orbital-free density functional theory (OFDFT), but self-consistency requires accurate functional derivatives…Fumihiro Imoto·Jul 25, 2026SaveLearn
PI-GINOT: Data-free geometry-informed neural operator learning for finite-strain hyperelasticity on parametric DogBone specimensParametric nonlinear solid-mechanics simulations are widely used in virtual testing, optimisation, and uncertainty analysis, but repeated finite-element simulations become costly when geometry…Aamir Dean, Betim Bahtiri·Jul 25, 2026SaveLearn
Curl-based Electric-Field Boundary Condition for the Accurate and Stable Electromagnetic Scattering AnalysisWe introduce a curl-based Electric-Field Integral Equation (Curl-EFIE) for the electromagnetic scattering analysis from perfect electric conductors. The formulation is derived by enforcing a…Eduard Ubeda, Alex Heldring, Juan M. Rius et al.·Jul 25, 2026SaveLearn
False Summit and Silent Drift: A Failure Taxonomy and Efficiency Analysis of LLM-Assisted Multiphysics Simulation in an Open-Source FrameworkMultiphysics simulation of semiconductor processes requires simultaneous command of governing equations, numerical methods, software implementation, and process physics, creating a substantial entry…Chi-Chun Chiang, Shih-Ming He·Jul 25, 2026SaveLearn
Tangent-Plane Evidential Uncertainty in Active Learning for Magnetic Interatomic PotentialsMagnetic interatomic potentials need to account for coupled lattice and spin degrees of freedom, yet constructing reliable training sets remains costly because noncollinear first-principles labels…Yang Cheng, Hongyu Yu, Hongjun Xiang·Jul 25, 2026SaveLearn
A multiphysics deep energy method for fourth-order phase-field fracture with piezoresistive self-sensingPiezoresistive materials can act as self-sensing media because deformation and cracking modify their electrical resistance. This paper presents a fracture-informed multiphysics framework for…Aamir Dean, Betim Bahtiri·Jul 25, 2026SaveLearn
Hyperspatial Sampling: Circumventing Free-Energy Barriers via Replica Exchange with Extra DimensionsSimulating systems with rugged free-energy landscapes remains a central challenge in computational physics and chemistry. We introduce hyperspatial replica exchange (HS-REX), an enhanced sampling…Henrik Christiansen, Matheus Ferraz, Takashi Maruyama et al.·Jul 24, 2026SaveLearn
Producing a complete nuclear data library for adjoint Monte Carlo simulationsRadiation shielding applications related to reactor design typically involve situations where the source region (the core) is much larger than the detector region (a dosimeter). In such cases, the…Paul Rovel, Coline Larmier, Davide Mancusi et al.·Jul 24, 2026SaveLearn
Generating Samples of Stationary Distributions of Weakly Interacting Diffusion Models Without Finite Particle Truncation: A Weak Generative ApproachComputing the stationary probability density and generating corresponding samples for the mean-field model of an infinite number of weakly interacting diffusion particles pose significant numerical…Zhiqiang Cai, Chengyu Liu, Xiang Zhou·Jul 24, 2026SaveLearn
Learning Lattice Parameters from Powder X-Ray Diffraction Data Using InvariantsWe present a machine learning (ML) method to determine unit cell parameters from powder X-Ray diffraction (XRD) data using a novel invariant lattice representation. In ML, the data representation…Elyssa Hofgard, Kyucheol Min, Nofit Segal et al.·Jul 23, 2026SaveLearn
On the Removal of Solver-Induced Dependencies in Momentum-Weighted Interpolation for Primal and Continuous-Adjoint Flow SolversMomentum-Weighted Interpolation (MWI) is a key component in pressure--velocity coupling schemes on collocated cell-centered finite-volume methods for both primal and continuous adjoint formulations.…Niklas Kühl·Jul 23, 2026SaveLearn
Cycle-Consistent and Uncertainty-Aware Neural Surrogates for Tokamak Edge PlasmasThe boundary and divertor plasma govern how a tokamak exhausts power and particles, setting heat fluxes, target conditions, and the onset of detachment. Predicting these quantities is essential for…Abdourahmane Diaw, Sebastian De Pascuale, Jae-Sun Park et al.·Jul 23, 2026SaveLearn
Matrix-free phase-field modeling of fracture in micromechanical testing simulations of inelastic materialsResolving steep damage gradients across diffuse cracks in the phase-field modeling of fracture favors the use of high-order finite elements, for which matrix-free methods can provide superior…Fabio Di Gioacchino, Rezgar Shakeri, Zachary Atkins et al.·Jul 23, 2026SaveLearn
Two-Way Feedback Mechanisms between the Madden-Julian Oscillation and Mesoscale Convective SystemsThe Madden-Julian Oscillation (MJO) is a planetary-scale convective system characterized by large-scale envelopes of enhanced and suppressed convection that contain numerous mesoscale convective…Haobo Yang, Qiu Yang·Jul 23, 2026SaveLearn
Modulation Effects of Atmospheric Environmental Conditions on Mesoscale Convective Systems over Tropical OceansMesoscale convective systems MCSs play a central role in tropical rainfall and are closely linked to extreme precipitation and large scale variability. However, a quantitative understanding of their…Huaiping Wang, Qiu Yang·Jul 23, 2026SaveLearn
A Single-Trace Surface Integral Equation Solver for Simulation of Open Bianisotropic Metasurfaces Described by Generalized Sheet Transition ConditionsA single-trace surface integral equation (SIE) solver incorporating generalized sheet transition conditions (GSTCs) is presented for the simulation of three-dimensional (3D) open bianisotropic…Sebastian Celis Sierra, Junze Shao, Ran Zhao et al.·Jul 22, 2026SaveLearn