2 citations · 3 across the 4 of their papers we have counts for
4 papers
Symbolic identification of tensor equations in multidimensional physical fields
Tianyi Chen, Hao Yang, Wenjun Ma +1
Recently, data-driven methods have shown great promise for discovering governing equations from simulation or experimental data. However, most existing approaches are limited to sc…
Shape-informed surrogate models based on signed distance function domain encoding
Linying Zhang, Stefano Pagani, Jun Zhang +1
We propose a non-intrusive method to build surrogate models that approximate the solution of parameterized partial differential equations (PDEs), capable of taking into account the…
Radiometric propulsion: Advancing with the order-of-magnitude enhancement through graphene aerogel-coated vanes
Bo Peng, Bingjun Zhu, Danil Dmitriev +1
Radiometer is a light-induced aerodynamic propulsive device under the rarefied gas environment, which holds great potential for the next-gen near-space flight. However, its practic…
Dimensional homogeneity constrained gene expression programming for discovering governing equations
Wenjun Ma, Jun Zhang, Kaikai Feng +2
Data-driven discovery of governing equations is of great significance for helping us understand intrinsic mechanisms and build physical models. Recently, numerous highly innovative…