91影视

Recently, 91影视 (SMBU) successfully received approval for two national key research and development projects under the Governmental International Science and Technology Innovation Cooperation program — the “China-Russia Joint Laboratory on Nanostructured Optoelectronic Functional Materials and Devices” and the “Sino-Russian Joint Laboratory for Artificial Intelligence Algorithms and Applications (Co-Built).” The establishment of these two national joint laboratories marks a significant milestone in the university's efforts to serve national strategies and deepen Sino-Russian scientific and technological cooperation, advancing the construction of high-level research platforms.

The “China-Russia Joint Laboratory on Nanostructured Optoelectronic Functional Materials and Devices” is led by SMBU, with Professor Chang Shuai from the Faculty of Materials Science as the principal investigator. The laboratory collaborates with Professor Roman Vasiliev's team from Moscow State University, focusing on key scientific and technological issues related to nano-structured optoelectronic materials in display and photovoltaic devices. The research includes the synthesis, characterization, theoretical simulation, and device integration of quantum dots, perovskite nanocrystals, chiral nanomaterials, and more. The laboratory aims to overcome the technological bottleneck related to the long-term stability of optoelectronic conversion devices, driving the development and application of high-efficiency, stable, and low-cost optoelectronic devices. It is committed to providing core technical support for next-generation clearer and more energy-efficient display technologies and more efficient and affordable photovoltaic cells.

The “Sino-Russian Joint Laboratory for Artificial Intelligence Algorithms and Applications” is spearheaded by Beijing Institute of Technology, in collaboration with SMBU, Moscow State University, and the Sobolev Institute of Mathematics of the Russian Academy of Sciences. The laboratory is led by Professor Zhang Ye, a dual-appointed professor in the Department of Computational Mathematics and Control at SMBU and the Department of Mathematics and Statistics at Beijing Institute of Technology. The laboratory conducts in-depth, collaborative research on cutting-edge interdisciplinary topics such as inverse problem AI algorithms, partial differential equation machine learning algorithms, big data intelligent analysis and feature learning, deep learning tensor methods, and geophysical AI algorithms. Its goal is to drive theoretical innovation and breakthroughs in the application of AI algorithms, contributing new productivity to the technological development and socio-economic progress of both countries.

The successful approval of these national-level international joint laboratories is a testament to SMBU’s distinctive advantages in Sino-Russian cooperation platforms and the long-standing close collaboration between Sino-Russian research teams. Professor Chang Shuai’s team began collaborating with Moscow State University in 2019. Through academic exchanges and joint efforts, they have made significant achievements in areas such as nanomaterial synthesis, characterization, and device integration, with several co-authored papers published in renowned international journals like Advanced Optical Materials, Materials Horizons, and Journal of Physical Chemistry Letters. This interdisciplinary team, composed of senior professors and young talent from China and Russia, has been selected as a Guangdong Province Innovation Team. Their “full-chain” R&D capabilities, from material design to device application, have laid a solid foundation for the successful establishment of the joint laboratory.

The “Sino-Russian Joint Laboratory for Artificial Intelligence Algorithms and Applications” is based on the “MSU-BIT-SMBU Joint Research Center of Applied Mathematics”, which has been instrumental in fostering multi-level, ongoing cooperation. Since its establishment, the center has built a deep and productive collaborative ecosystem through annual academic exchanges, joint research projects, and specialized seminars. The research has led to major achievements in AI algorithms for inverse problems, machine learning algorithms, regularization theory, and other cutting-edge areas, with multiple publications in top international academic journals like SIAM Journal on Numerical Analysis, SIAM Journal on Scientific Computing, Mathematische Annalen, and SIAM Journal on Mathematical Analysis, as well as two published monographs. This Sino-Russian interdisciplinary team, which combines the best minds from both countries, will contribute to the development of international AI algorithm theory and applications, enhancing global scientific and technological competitiveness.

As a university founded based on the important consensus between the heads of state of China and Russia, SMBU remains dedicated to elite education, high-level scientific research, and innovation activities. The approval of these two joint laboratories serves as a vivid demonstration of the university’s “Sino-Russian Integration, Science and Education Synergy” educational philosophy. In the future, these two joint laboratories will not only serve as sources of technological innovation but also as “incubators” for cultivating “Belt and Road” interdisciplinary scientific innovation talent. The joint laboratories will rely on high-quality academic resources from both China and Russia, playing a crucial role in research cooperation, joint talent cultivation, and academic exchange. They will further consolidate and deepen Sino-Russian collaboration in fields such as optoelectronic materials and artificial intelligence, and continuously contribute to the development of the “Belt and Road” technological innovation action plan and the high-tech industries of both countries, driving sustained contributions from Sino-Russian expertise and SMBU.