Wen Wen Yang

Title: **Wen Wen Yang: Innovator in Computational Methods and Material Science**

Introduction: Wen Wen Yang, based in Shanghai, China, is a prominent inventor with a remarkable portfolio of 20 patents. His innovative work primarily focuses on computational methods and simulations, pushing the boundaries of technology and material science.

Latest Patents: Wen Wen Yang is known for his significant contributions to the field, with notable patents such as:

1. **Method and system for predicting operation time of sparse matrix vector multiplication** – This patent presents a novel approach utilizing a convolutional neural network comprised of various layers to predict operation times for sparse matrix vector multiplication. The method effectively employs sample data with known operation times to train the neural network, enabling accurate predictions.

2. **Simulation of microstructure evolution of material as solved based on exponential time-difference format** – This invention features a sophisticated method and device aimed at simulating the evolution of a material's microstructure. By establishing a reaction rate theory model for defects using linear equations with matrix coefficients, the method achieves precise simulations, significantly improving accuracy under high damage conditions.

Career Highlights: Throughout his career, Wen has been associated with leading organizations, including the International Business Machines Corporation (IBM) and the Chinese Academy of Sciences. His work in these institutions has contributed greatly to advancements in technology and academia.

Collaborations: Wen Wen Yang has collaborated with esteemed colleagues, such as Xiao Xia Mao and Chang Lei. These partnerships underscore his commitment to engaging with fellow professionals to drive innovation and explore new ideas in the realm of computational methods and material science.

Conclusion: Wen Wen Yang's innovative spirit and dedication have resulted in numerous patents that advance our understanding of computational methods and materials. His work not only demonstrates the potential of technology in solving complex problems but also serves as an inspiration for future inventors aiming to make impactful contributions to science and industry.