Compact fusion and isotope medical systems for clinical and energy applications
深圳中子网络 operates at the intersection of nuclear physics and clinical medicine, building accelerator systems and isotope production platforms. The tech stack—dominated by CAD (SolidWorks, CATIA, AutoCAD), simulation (ANSYS, COMSOL, MATLAB), and hardware design (FPGA, PLC, Cadence, Synopsys)—reflects a hardware-first, physics-simulation-heavy engineering culture. Active projects span accelerator design, isotope battery reliability, and nuclear drug production line construction, with significant hiring in engineering and research (62 roles combined) but minimal recent hiring velocity, suggesting they are in a capital-intensive, design-phase cycle rather than rapid scaling.
Notable leadership hires: AI Director, Strategic Relations Director, Platform Head, Marketing Department Head, Marketing Director
深圳中子网络 is a mobile internet and hardware company headquartered in Beijing, with operations spanning accelerator system design, compact fusion energy concepts, and isotope-based medical applications. The product portfolio includes "DOOP主角," an offering oriented toward enterprise marketing and market research. The organization maintains a substantial engineering and research footprint (62 headcount across both disciplines) alongside manufacturing, operations, and healthcare functions. Active projects include new accelerator systems, intelligent diagnosis architectures, isotope battery reliability analysis, and nuclear drug production line construction, indicating a transition from R&D concept phase toward clinical and regulatory commercialization.
Heavy simulation and CAD: ANSYS, COMSOL, MATLAB, SolidWorks, CATIA, AutoCAD. Hardware design: FPGA, PLC, Cadence, Synopsys. Databases: SQL Server, MySQL, DB2. Networking: TCP/IP, OPC UA, Modbus TCP, EtherCAT.
Compact fusion energy system design, isotope battery reliability analysis, accelerator intelligent diagnosis systems, nuclear drug production lines, clinical trial treatment planning, and drug registration processes.