Beijing, China

Ningming Nie


Average Co-Inventor Count = 9.5

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):

Title: Innovations of Ningming Nie

Introduction

Ningming Nie is a prominent inventor based in Beijing, China. He has made significant contributions to the field of computational methods and material science. With a total of two patents to his name, his work focuses on enhancing the efficiency of mathematical operations and simulating material behaviors.

Latest Patents

Ningming Nie's latest patents include a method and system for predicting the operation time of sparse matrix vector multiplication. This innovative method involves constructing a convolutional neural network that processes input data to output accurate predictions. The approach utilizes sample data from known sparse matrices to train the network, allowing for effective predictions of operation times.

Another notable patent is related to the simulation of microstructure evolution of materials based on an exponential time-difference format. This method establishes a reaction rate theory model for substance defects and iteratively solves equations to simulate microstructure changes under high damage conditions. The use of exponential time-difference format enhances the accuracy and precision of the results.

Career Highlights

Ningming Nie has worked with esteemed 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 techniques in computational modeling and material science.

Collaborations

Ningming Nie has collaborated with notable colleagues, including Jue Wang and Yangang Wang. Their combined expertise has contributed to advancements in their respective fields.

Conclusion

Ningming Nie's contributions to innovation in computational methods and material science are noteworthy. His patents reflect a commitment to enhancing efficiency and accuracy in complex calculations and simulations. His work continues to influence the field and inspire future innovations.

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