Runren Zhang

TL;DR: An alternative approach of invisibility cloaking is experimentally demonstrated that can combine technical advantages of all current major cloaking strategies in a unified manner and thus can solve bottlenecks of individual strategies.

TL;DR: A novel machine learning method based on the modified K-nearest neighbor (KNN) algorithm, which can extract more features from the data sets through the advanced workflow and simulation techniques, which is 5–30 times faster than the traditional machine learning methods such as the artificial neural network (ANN) and Bayesian optimization by reducing the required size of the data set.

TL;DR: The impedance transition boundary condition (ITBC) is employed to facilitate fracture modeling by approximating fractures as surfaces by efficiently model the fracture responses under complicated geophysical environments.

TL;DR: A novel hybrid method is proposed, which not only successfully eliminates the necessity of the buffer zone without compromising the featured advantage but also effectively applies an implicit–explicit time integration scheme to improve the computational efficiency.

TL;DR: A novel coupling algorithm of the well-posed perfectly matched layer (PML) for wave equation-based DGTD methods, which divides the computational domain into two regions, the physical and PML regions, whose meshes can be nonconformal with each other.