Yangang Wang

Title: Innovations of Yangang Wang

Introduction

Yangang Wang is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the areas of matrix operations and material science. With a total of three patents to his name, Wang's work showcases his expertise and innovative thinking.

Latest Patents

One of Yangang Wang's latest patents is titled "Method and system for predicting operation time of sparse matrix vector multiplication." This invention involves constructing a convolutional neural network that includes an input layer, a feature processing layer, a data splicing layer, and an output layer for generating prediction results. The method utilizes sample data from known sparse matrices to train the network, allowing for accurate predictions of operation times.

Another significant patent is "Simulation of microstructure evolution of material as solved based on exponential time-difference format." This method establishes a reaction rate theory model for substance defects and iteratively solves equations using an exponential time-difference format. This approach enhances the accuracy and precision of simulating microstructure evolution, particularly under high damage dose conditions.

Career Highlights

Yangang Wang has worked with prestigious institutions such as the China Institute of Atomic Energy and the Chinese Academy of Sciences. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in his field.

Collaborations

Throughout his career, Yangang Wang has collaborated with notable colleagues, including Jue Wang and Wen Wen Yang. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and further innovation.

Conclusion

Yangang Wang's contributions to technology through his patents and collaborations highlight his role as a leading inventor in his field. His innovative methods and systems continue to influence advancements in matrix operations and material science.