As the National Day holiday is ushering in, young people from all over the country choose to come to Changsha to relax, but at the foot of Yuelu Mountain, where tourists are crowded with tourists, there is a group of young people in Dake City who choose a different "vacation meth

Red Net Time News Correspondent Congratulations Changsha Report

ushers in the National Day holiday. Young people from all over the country choose to come to Changsha to relax, but at the foot of Yuelu Mountain, where tourists are crowded with tourists, there is a group of young people in Dake City who choose a different "vacation method" - shuttle through the laboratory to rush to experiment and work hard on research and development!

In the ultra-clean laboratory of Changsha Semiconductor Technology and Application Innovation Research Institute, Hong Ruohao, a doctoral student from the School of Semiconductors at Hunan University, wore laboratory suits and gloves, preparing to start a day's research. Today, his main job is to use the functional film preparation system to coat oxides of silicon wafers in his hands through ion bombardment to observe material properties and changes. The reporter noticed that in the 1,100 square meters clean laboratory, there were three graduate students busy on different experimental equipment.

"In August this year, we officially settled in the research institute's office. At present, the institute's integrated circuit testing and service platform has been put into use, and the power semiconductor testing and service platform Dajing Instruments and Equipment is being purchased in batches as planned." Hu Wei, associate professor of the School of Semiconductor (School of Integrated Circuits), Hunan University, introduced that the institute will carry out scientific and technological research, achievement transformation, and talent training around the key technologies of semiconductor "bottlenecks", hoping to provide stronger technical support for the development of the semiconductor industry in Hunan Province.

"The scanning multiple of the material has been magnified to 200,000 times. What details do you need to observe?" Early in the morning of October 1, Peng Na, a testing experimenter at Hunan Nawei New Materials Technology Co., Ltd., came to the company. Today she will connect with Guangzhou university customers remotely to observe the morphology and microorganization of the materials according to customer requirements.

In another testing room, Bai, a student from Central South University, majoring in materials science and engineering, is communicating with the experimenter about needs. This time, she wants to observe the dispersion of composite materials and accumulate data for her graduate thesis in advance.

In the company's corridor, several major papers thanking Nawei New Materials were mounted on the wall, and the big red pennant for thanking was also particularly eye-catching. "During the National Day holiday, all six equipment in our laboratory have been arranged to be on duty by testing testers. As long as students have needs, they can make an appointment for experiments at any time." Yang Qisong, founder of Nawei New Materials, shared that the latest TEM (transmission electron microscope) will be put into use at the end of October, which will meet the testing needs of more scientific researchers.

A few days ago, Xiangjiang Times Robot Research Institute was unveiled at Yuelushan University Science and Technology City. The 5th generation Rsense series intelligent edge terminals and the 2nd generation AIVI vision algorithm software platform were also unveiled with the research institute; the AI ​​intelligent physical testing product released by Hunan Proxima Technology Co., Ltd.

As the "leader" of the two companies, Zhou Bowen has never stopped his research and development. During this holiday, he plans to work with his team to improve the machine vision experimental platform and think about the next promotion plan for AI intelligent physical testing products.

From the intelligent epidemic prevention terminal of the "face recognition health code" that helps epidemic prevention work, to the newly released AI intelligent physical testing products, in recent years, Zhou Bowen's team has focused on "intelligent robot research and development", hoping that the products can be applied to industry and service industries, replacing manual labor to complete heavy, dangerous or repetitive work.