Papers & Surveys

Electromagnetics

A novel computationally efficient surrogate model for linear mode coupling in graded-index multimode fibers, tunable via a single measurable parameter, benchmarked numerically and experimentally on a 90-polarization-mode fiber.

CFD

Proposes WaveOp-LiteFM, a lightweight neural-operator flow matching approach that addresses the trade-off between computational cost and accuracy in satellite-to-radar precipitation retrieval for atmospheric remote sensing applications.

ScientificML

Proposes a nonlinear reduced-order model with convolutional operator compression to overcome the Kolmogorov N-width limitation of linear projection-based ROMs, achieving accurate approximations with fewer modes for parametrized PDEs.

Plasma / Fusion

Presents PQLS, a quasilinear gyrokinetic transport solver using an eigenvalue solver in general magnetic geometry with Bayesian saturation-rule closure to improve turbulent transport prediction in tokamak plasmas.

ScientificML

This paper proposes an improved periodic activation using complex exponential functions generating paired sine-cosine outputs for Physics-Informed Neural Networks, demonstrating superior performance over sine-activated MLPs in reconstructing temperature fields from sparse velocity data in convective flows.

Multibody

This paper solves the four-dimensional HJB equation for two diffusively coupled Stuart-Landau-like oscillators to obtain full-state optimal feedback control, revealing a sharp transition in control strategy from phase synchronization to amplitude collapse at a critical coupling threshold.

ScientificML

Proposes block-triangular joint drifting to overcome the challenge of estimating conditional distributions in stochastic transition modeling, enabling one-step generative surrogate models for trajectory data prediction.