The Nuclear Technology Innovation and Industrialization Laboratory of Lanzhou University, building upon the Rare Isotope Frontier Science Center and the National Nuclear Industry Research Institute of Lanzhou University, is dedicated to developing interdisciplinary and distinctive nuclear technologies while facilitating the transformation of research achievements. The laboratory's primary research areas encompass natural muon imaging technology, nuclear logging, radiation protection, nuclear medicine, compact controllable neutron tube technology, and more. It engages in both theoretical research and engineering studies on the industrialization of nuclear technologies, truly translating laboratory findings into solutions for industry needs—thereby driving industrial progress, benefiting society, and generating significant economic value.

The team, led by Professor Liu Zhiyi (a recipient of China's Thousand Talents Plan), specializes in nuclear technology innovation and industrialization. Its main research focus is cosmic-ray muon imaging technology. Currently, it is the only team in China to have developed a mature, mass-producible cosmic-ray muon imaging system capable of outdoor experiments, along with comprehensive forward and inversion algorithms, placing it at the forefront of international advanced levels.

Committed to building an international scientific and technological team centered on green nuclear technology, addressing major national needs and future industrial development. We aim to drive key technological breakthroughs and industrial applications in natural radiation, clean radioactive sources, isotope technology, irradiation utilization of renewable resources, and nuclear technology + AI, among other fields. Our goal is to become a leading force in green nuclear technology innovation, supporting regional industrial upgrading and national strategic security.

Our team brings together experts from diverse disciplines including applied nuclear technology, particle detection, electronics, materials engineering, artificial intelligence, and systems engineering. Leveraging the collaborative resources of Lanzhou University and affiliated national nuclear science platforms, we currently comprise 50 core members, including 5 full professors.

The team actively recruits outstanding engineers (regardless of formal qualifications), postdoctoral researchers, and graduate students (both master's and PhD candidates), maintaining comprehensive R&D capabilities spanning fundamental research, equipment development, system integration, pilot testing, and real-world application deployment.

Through established partnerships with multiple central state-owned enterprises, regional industry leaders, and academic institutions, we possess the agility to organize rapid joint R&D initiatives and facilitate technology commercialization that addresses practical needs in nuclear technology applications.

The team currently focuses on five core directions in the field of green nuclear technology, spanning multiple cutting-edge interdisciplinary areas from natural particle detection to nuclear energy applications:

(1) Natural Ray Muon and Fast Neutron Imaging Technology: Developing non-invasive imaging systems for geological exploration, cultural heritage preservation, and major engineering monitoring, with a focus on data inversion, image reconstruction algorithms, and AI enhancement.

(2) Controllable Source-Based Clean Nuclear Technology: Designing controllable source devices such as neutron generators to replace traditional radioactive sources, applied in well logging, industrial non-destructive testing, and nuclear security.

(3) Medical Isotope Production and Medical Accelerators: Researching short-lived radionuclide production technologies for PET/SPECT imaging and radiotherapy, while advancing radionuclide purification, labeling, pilot-scale production, and supply chain development.

(4) Irradiation Technology in Renewable Resource Processing: Utilizing high-energy radiation for the modification and treatment of renewable resources such as plastics, rubber, and wastewater, and establishing a green circular industrial irradiation process system.

(5) Intelligent Perception and AI Platforms for Nuclear Scenarios: Integrating robotics and AI algorithms to achieve data sensing, automated processing, and data mining, while promoting the implementation of digital twins and other technologies in nuclear facilities.