description [CVPR 2026][Scientific Computing][Neural Operator] NESTOR, a nested MoE-based neural operator, is proposed to capture global features across different PDE types via image-level MoE and ...

A physics-constrained Fourier Neural Operator (FNO) for learning macroscopic closure models of Active Brownian Particle (ABP) systems beyond the Toner-Tu validity regime. This project implements a ...

Abstract: Fourier neural operator (FNO) is a recently proposed data-driven scheme to approximate the implicit operators characterized by partial differential equations (PDEs) between functional spaces ...

A programmable LED array provides multi-angle plane-wave illumination, and the transmitted light is collected by microscopic optics and recorded on a camera sensor for subsequent computational ...

ABSTRACT: This research program enhances our understanding of how the Sun influences Earth, leading to cyclic global climate variations. The Sun exhibits many well-known features and events that ...

With the exponential growth in demand for high-speed data transmission, the 5G system infrastructure, despite its impressive peak data rate of 10 gigabits per second, is increasingly inadequate for ...

Imagine writing software without touching a keyboard. This neural interface reads brain waves and turns them directly into code, pushing the boundaries of programming and human-computer interaction.

Abstract: The Fourier Neural Operator (FNO), a recently proposed neural network designed for solving partial differential equations (PDEs), is being explored to accelerate electromagnetic (EM) ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...