activity
20202026
most citedA Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks

20 citations · 20 across the 5 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

2 papers · 1 filter

physics.flu-dyn2026

Denoising diffusion and latent diffusion models for physics field simulations

Yuan Jia, Chi Zhang, Hao Ma +3

Accurate prediction of physical fields is critical in various engineering applications, including thermal management in electronic systems, airfoil shape optimization in aerospace,…

physics.flu-dyn2025

Sloshing suppression with a controlled elastic baffle via deep reinforcement learning and SPH simulation

Mai Ye, Yaru Ren, Silong Zhang +3

This study employed smoothed particle hydrodynamics (SPH) as the numerical environment, integrated with deep reinforcement learning (DRL) real-time control algorithms to optimize t…