1 citations · 1 across the 4 of their papers we have counts for
4 papers
LE-PDE++: Mamba for accelerating PDEs Simulations
Aoming Liang, Zhaoyang Mu, Qi liu +3
Partial Differential Equations are foundational in modeling science and natural systems such as fluid dynamics and weather forecasting. The Latent Evolution of PDEs method is desig…
DamFormer: Generalizing Morphologies in Dam Break Simulations Using Transformer Model
Zhaoyang Mul, Aoming Liang, Mingming Ge +3
The interaction of waves with structural barriers such as dams breaking plays a critical role in flood defense and tsunami disasters. In this work, we explore the dynamic changes i…
MM: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need
Aoming Liang, Zhaoyang Mu, Pengxiao Lin +5
Learning the evolutionary dynamics of Partial Differential Equations (PDEs) is critical in understanding dynamic systems, yet current methods insufficiently learn their representat…
ModCube: Modular, Self-Assembling Cubic Underwater Robot
Jiaxi Zheng, Guangmin Dai, Botao He +5
This paper presents a low-cost, centralized modular underwater robot platform, ModCube, which can be used to study swarm coordination for a wide range of tasks in underwater enviro…