output
20142026
most citedNSFnets (Navier-Stokes Flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

1.2k citations

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11 papers · 1 filter

physics.optics2026

Predicting Multi-Order Magnetic Polariton Resonances for Radiative Properties Tailoring by Distributed Circuit Model

Hangjie Li, Junming Zhao

Surface plasmon polaritons (SPPs) and magnetic polaritons (MPs) are fundamental resonance modes that are widely used to tailor the thermal radiation properties of micro/nanostructu…

astro-ph.HE2026

A hidden ultra-relativistic spine in the jet of a neutrino-associated blazar

Y. Y. Kovalev, F. Eppel, D. C. Homan +16

Supermassive black holes launch powerful jets of plasma that can accelerate particles to extreme energies, but the physical conditions required to produce high-energy neutrinos rem…

cs.CV2026

Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization

Tianyu Wang, Junjie Wu, Jingquan Gao +1

Temporal Action Localization (TAL) has been extensively studied in generic video understanding, while fine-grained sports scenarios, such as professional badminton, remain underexp…

gr-qc2026

Constraints on non-canonical chaotic inflation from ACT DR6 and BICEP/Keck data

Wei Yang, Chen-Hao Wu, Ya-Peng Hu

In this study, we precisely evaluated the feasibility of the chaotic inflation model within a non-canonical kinetic framework. By applying the slow-roll approximation and imposing…

stat.ML2026★ 1 cited

Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model

Qi Li, Yong Huang, Hui Li

Data quality assessment is an essential step that ensures the reliability of the subsequent structural health monitoring (SHM) tasks. This study proposes a prediction deviation-bas…

stat.ML2026

Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States

Teng Li, Stephen Wu, Yong Huang +2

The health condition of components in civil infrastructures can be described by various discrete states according to their performance degradation. Inferring these states from meas…

stat.AP2026★ 20 cited

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models

Xianghao Meng, James L. Beck, Yong Huang +1

In the last few decades, Markov chain Monte Carlo (MCMC) methods have been widely applied to Bayesian updating of structural dynamic models in the field of structural health monito…

physics.flu-dyn2026

Learning to traverse convective flows at moderate to high Rayleigh numbers

Ao Xu, Hua-Lin Wu, Ben-Rui Xu +1

We study the navigation of a self-propelled inertial particle in two-dimensional Rayleigh-Bénard convection at Prandtl number and cell aspect ratio for Rayleigh num…

physics.optics2026

Ultralow radiative heat flux by Anderson localization in quasiperiodic plasmonic chains

Yizhi Hu, Kun Yan, Wei-Hua Xiao +1

Anderson localization, arising from wave interference in disordered systems, profoundly hinders energy transport, yet its impact on radiative heat flux in many-body thermophotonic…

astro-ph.SR2026★ 2 cited

Solar active region scaling laws revisited

Guilherme A. L. Nogueira, Robertus Erdelyi, Ruihui Wang +1

The systematic variation of solar active region (AR) properties with their magnetic flux has been the subject of numerous studies but the proposed scaling laws still vary rather wi…

hep-th2026

Weyl Mutations in Quiver Yangians

Dmitry Galakhov, Alexei Gavshin, Alexei Morozov

The problem of solving non-linear equations would be considerably simplified by a possibility to convert known solutions into the new ones. This could seem an element of art, but i…