2022年12期
刊物介紹
核技術（英文版）即《Nuclear Science and Techniques》由中國科學院上海應用物理研究所和中國核學會共同主辦、上海市核學會協辦，旨在通過介紹國內外最新核科技成果，反映當前中國核科學技術發展的動向和學術水平。主要方向為同步輻射技術及應用、低能加速器技術、射線技術及應用、核化學、放射化學、放射性藥物和核醫學、核電子學與儀器、核物理與交叉學科研究、核能科學與工程等。本刊被SCI-E、CA、SA、CSCD等數據庫收錄。
Nuclear Science and Techniques
NUCLEAR ELECTRONICS AND INSTRUMENTATION
- Gaussian shaper for nuclear pulses based on multilevel cascade convolution
- Discrimination of neutron and gamma ray using the ladder gradient method and analysis of filter adaptability
- Heavy ion?induced MCUs in 28 nm SRAM?based FPGAs: upset proportions, classifications, and pattern shapes
- An FPGA?based trigger system for CSHINE
- A method for neutron-induced gamma spectra decomposition analysis based on Geant4 simulation
NUCLEAR ENERGY SCIENCE AND ENGINEERING
- Comparison of neutron energy spectrum unfolding methods and evaluation of rationality criteria
- Evaluating the JEFF 3.1, ENDF/B?VII.0, JENDL 3.3, and JENDL 4.0 nuclear data libraries for a small 100 MWe molten salt reactor with plutonium fuel
- Analysis on the influencing factors of radioactive tritium leakage and diffusion from an indoor high?pressure storage vessel
- Two?parameter dynamical scaling analysis of single?phase natural circulation in a simple rectangular loop based on dilation transformation
- Structural integrity evaluation of irradiated LEU targets for the production of molybdenum?99 using thermo?mechanical behavior simulation coupled with pressure of fission gas release calculation
NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH
- A novel approach for feature extraction from a gamma?ray energy spectrum based on image descriptor transferring for radionuclide identification
- High?accuracy measurement of Compton scattering in germanium for dark matter searches
- Effects of the momentum dependence of nuclear symmetry potential on pion observables in Sn + Sn collisions at 270 MeV/nucleon
- Multiple-models predictions for drip line nuclides in projectile fragmentation of 40，48Ca, 58，64Ni, and 78，86Kr at 140 MeV/u
- Prediction of nuclear charge density distribution with feedback neural network