The neutron-induced total cross-section of ^(209)Bi is crucial for the physical design and safety assessment of lead-based fast reactors, and the quality of experimental data should be improved for evaluation and appl...The neutron-induced total cross-section of ^(209)Bi is crucial for the physical design and safety assessment of lead-based fast reactors, and the quality of experimental data should be improved for evaluation and application.A recent experiment was conducted on the back-streaming white neutron beamline(Back-n) at the China Spallation Neutron Source(CSNS) using the neutron total cross-section spectrometer(NTOX). The neutron energy was determined using a fast multi-cell fission chamber and the time-of-flight technique. Two high-purity bismuth samples,6 mm and 20 mm in thickness, were chosen for neutron transmission measurements and comparisons. The neutron total cross-sections of ^(209)Bi, ranging from 0.3 e V to 20 Me V, were derived considering neutron flight time determination, flight path calibration, and background subtraction. A comparison of the experimental results with the data in the ENDF/B-VⅢ.0 library showed fair agreement, and the point-wise cross-sections were found to be consistent with existing experimental data. Special attention was given to the determination of resonance parameters, which were analyzed using the R-matrix code SAMMY and Bayesian method in the 0.5 ke V to 20 ke V energy range. The extracted resonance parameters were compared to previously reported results and evaluated data. This study is recognized as the first one where the neutron total cross-section of bismuth across such a broad energy spectrum is measured in a single measurement or experiment, and it provides valuable data for the assessment of related reaction information for evaluated libraries and the advancement of lead-bismuth-based nuclear systems.展开更多
A dynamical model is constructed to depict the spatial-temporal evolution of malware in mobile wireless sensor networks(MWSNs). Based on such a model, we design a hybrid control scheme combining parameter perturbation...A dynamical model is constructed to depict the spatial-temporal evolution of malware in mobile wireless sensor networks(MWSNs). Based on such a model, we design a hybrid control scheme combining parameter perturbation and state feedback to effectively manipulate the spatiotemporal dynamics of malware propagation. The hybrid control can not only suppress the Turing instability caused by diffusion factor but can also adjust the occurrence of Hopf bifurcation induced by time delay. Numerical simulation results show that the hybrid control strategy can efficiently manipulate the transmission dynamics to achieve our expected desired properties, thus reducing the harm of malware propagation to MWSNs.展开更多
The sensitivity of optical measurement is ultimately constrained by the shot noise to the standard quantum limit.It has become a common concept that beating this limit requires quantum resources.A deep-learning neural...The sensitivity of optical measurement is ultimately constrained by the shot noise to the standard quantum limit.It has become a common concept that beating this limit requires quantum resources.A deep-learning neural network free of quantum principle has the capability of removing classical noise from images,but it is unclear in reducing quantum noise.In a coincidence-imaging experiment,we show that quantum-resource-free deep learning can be exploited to surpass the standard quantum limit via the photon-number-dependent nonlinear feedback during training.Using an effective classical light with photon flux of about 9×10^(4) photons per second,our deep-learning-based scheme achieves a 14 dB improvement in signal-to-noise ratio with respect to the standard quantum limit.展开更多
固态聚合物电解质(SPE)是下一代安全电池系统的潜在材料,但SPE不能同时保持较高的机械强度和离子传导率,使下一步研究进入瓶颈.在此,我们通过原位点击反应在静电纺丝聚酰亚胺(PI)膜上制备了一种具有交联结构的聚醚硫醚电解质,厚度仅为19...固态聚合物电解质(SPE)是下一代安全电池系统的潜在材料,但SPE不能同时保持较高的机械强度和离子传导率,使下一步研究进入瓶颈.在此,我们通过原位点击反应在静电纺丝聚酰亚胺(PI)膜上制备了一种具有交联结构的聚醚硫醚电解质,厚度仅为19μm.由于烯-巯网络的交联结构和静电纺丝PI膜的增强作用,该SPE膜在60℃下具有135 MPa的储能模量,2.24×10^(-4)S cm^(-1)的离子传导率和4.0 V的电化学稳定窗口,并且锂-锂对称电池在0.1 m A cm^(-2)下循环超过800 h,展现出了优异的循环稳定性.用该超薄聚合物电解质膜组装的LiFePO_(4)/Li电池在60℃,0.5 C下能够循环超过250圈.这项工作开发了一种用于固态高性能锂金属电池的新型聚合物电解质.展开更多
基金the National Natural Science Foundation of China(12375296)the Key Laboratory of Nuclear Data Foundation(JCKY2022201C153)+1 种基金the National Key Research and Development Plan(2022YFA1603303)the Natural Science Foundation of Hunan Province of China(2021JJ40444,2020RC3054)。
文摘The neutron-induced total cross-section of ^(209)Bi is crucial for the physical design and safety assessment of lead-based fast reactors, and the quality of experimental data should be improved for evaluation and application.A recent experiment was conducted on the back-streaming white neutron beamline(Back-n) at the China Spallation Neutron Source(CSNS) using the neutron total cross-section spectrometer(NTOX). The neutron energy was determined using a fast multi-cell fission chamber and the time-of-flight technique. Two high-purity bismuth samples,6 mm and 20 mm in thickness, were chosen for neutron transmission measurements and comparisons. The neutron total cross-sections of ^(209)Bi, ranging from 0.3 e V to 20 Me V, were derived considering neutron flight time determination, flight path calibration, and background subtraction. A comparison of the experimental results with the data in the ENDF/B-VⅢ.0 library showed fair agreement, and the point-wise cross-sections were found to be consistent with existing experimental data. Special attention was given to the determination of resonance parameters, which were analyzed using the R-matrix code SAMMY and Bayesian method in the 0.5 ke V to 20 ke V energy range. The extracted resonance parameters were compared to previously reported results and evaluated data. This study is recognized as the first one where the neutron total cross-section of bismuth across such a broad energy spectrum is measured in a single measurement or experiment, and it provides valuable data for the assessment of related reaction information for evaluated libraries and the advancement of lead-bismuth-based nuclear systems.
基金Project supported by the National Natural Science Foundation of China (Grant No. 62073172)the Natural Science Foundation of Jiangsu Province of China (Grant No. BK20221329)。
文摘A dynamical model is constructed to depict the spatial-temporal evolution of malware in mobile wireless sensor networks(MWSNs). Based on such a model, we design a hybrid control scheme combining parameter perturbation and state feedback to effectively manipulate the spatiotemporal dynamics of malware propagation. The hybrid control can not only suppress the Turing instability caused by diffusion factor but can also adjust the occurrence of Hopf bifurcation induced by time delay. Numerical simulation results show that the hybrid control strategy can efficiently manipulate the transmission dynamics to achieve our expected desired properties, thus reducing the harm of malware propagation to MWSNs.
基金supported by the National Key R&D Program of China(Nos.2019YFA0308700,2019YFA0308704,and 2022YFA1405000)the Innovation Program for Quantum Science and Technology(No.2021ZD0301400)+3 种基金the National Natural Science Foundation of China(Nos.11874212 and 11890704)the Program for Innovative Talents and Teams in Jiangsu(No.JSSCTD202138)the Excellent Research Program of Nanjing University(No.ZYJH002)the Natural Science Foundation of Jiangsu Province,Major Project(No.BK20212004).
文摘The sensitivity of optical measurement is ultimately constrained by the shot noise to the standard quantum limit.It has become a common concept that beating this limit requires quantum resources.A deep-learning neural network free of quantum principle has the capability of removing classical noise from images,but it is unclear in reducing quantum noise.In a coincidence-imaging experiment,we show that quantum-resource-free deep learning can be exploited to surpass the standard quantum limit via the photon-number-dependent nonlinear feedback during training.Using an effective classical light with photon flux of about 9×10^(4) photons per second,our deep-learning-based scheme achieves a 14 dB improvement in signal-to-noise ratio with respect to the standard quantum limit.
基金supported by the National Key Research and Development Program(2019YFA0705701)the National Natural Science Foundation of China(22179149,22075329,22008267,51573215 and 21978332)+1 种基金the Basic and Applied Basic Research Foundation of Guangdong province(2021A0505030022,2019A1515010803 and 2020A1515011445)Guangzhou Scientific and Technological Planning Project(201804020025 and 201904010271)。
文摘固态聚合物电解质(SPE)是下一代安全电池系统的潜在材料,但SPE不能同时保持较高的机械强度和离子传导率,使下一步研究进入瓶颈.在此,我们通过原位点击反应在静电纺丝聚酰亚胺(PI)膜上制备了一种具有交联结构的聚醚硫醚电解质,厚度仅为19μm.由于烯-巯网络的交联结构和静电纺丝PI膜的增强作用,该SPE膜在60℃下具有135 MPa的储能模量,2.24×10^(-4)S cm^(-1)的离子传导率和4.0 V的电化学稳定窗口,并且锂-锂对称电池在0.1 m A cm^(-2)下循环超过800 h,展现出了优异的循环稳定性.用该超薄聚合物电解质膜组装的LiFePO_(4)/Li电池在60℃,0.5 C下能够循环超过250圈.这项工作开发了一种用于固态高性能锂金属电池的新型聚合物电解质.
