From the 2 of 4 linked papers with an AI index.
4 papers
MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries
Weizheng Zhang, Xunjie Xie, Hao Pan +4
The paper introduces MUSA-PINN, a multi-scale weak-form physics-informed neural network that enforces integral conservation laws over hierarchical spherical control volumes to impr…
A Multi-Agent Framework for Zero-Dimensional Reduced-Order Model Planning
Bingteng Sun, Hao Yin, Yiling Chen +9
The paper introduces Z-COPA, a multi‑agent framework that uses a symbolic graph engine and MILP‑guided optimization to automate the planning of zero‑dimensional reduced‑order model…
Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
Renjie Xiao, Bingteng Sun, Yiling Chen +3
(short version abstract, full in article)High-fidelity flow field reconstruction is important in fluid dynamics, but it is challenged by sparse and spatiotemporally incomplete sens…
DualMS: Implicit Dual-Channel Minimal Surface Optimization for Heat Exchanger Design
Weizheng Zhang, Hao Pan, Lin Lu +4
Heat exchangers are critical components in a wide range of engineering applications, from energy systems to chemical processing, where efficient thermal management is essential. Th…