Company Filing History:
Years Active: 2014-2025
Title: Innovations of Inventor Yin Long
Introduction
Yin Long is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of semiconductor technology, holding a total of seven patents. His work focuses on improving the manufacturing processes and quality of semiconductor devices.
Latest Patents
Yin Long's latest patents include a "Method and apparatus for predicting yield of semiconductor devices." This innovative method involves acquiring defect data from both finished and semi-finished semiconductor devices. The data indicates defect types and locations, which are then input into a pre-trained yield prediction model. This model utilizes a neural network structure to extract defect feature vectors and a classification structure to determine the yield quality of the devices.
Another notable patent is the "Method for detecting wafer backside defect." This method outlines a process for detecting defects on the backside of wafers. It includes providing a signal database with data corresponding to various defects, performing backside scanning using oblique incident light, and comparing the collected data with the signal data to create a 3D distribution map of the defects. This innovation aids in analyzing and addressing wafer backside defects efficiently.
Career Highlights
Yin Long has worked with notable companies such as Shanghai Huali Microelectronics Corporation and Shanghai Huali Integrated Circuit Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in semiconductor technology.
Collaborations
Yin Long has collaborated with several professionals in his field, including Hunglin Chen and Qiliang Ni. These collaborations have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Yin Long's contributions to semiconductor technology through his innovative patents demonstrate his expertise and commitment to improving manufacturing processes. His work continues to influence the industry positively.