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| 1 | Materials Experiment on Tiangong-2 Space Laboratory显示文摘During the China's Tiangong-2(TG-2) flight mission, the experiments of 18 kinds of material samples were conducted in space by using a Multiple Materials Processing Furnace(MMPF) mounted in the orbital module of the TG-2 space laboratory. After the experiments of 12 kinds of samples of the first and second batches were completed successfully, astronauts packed and brought them back to the ground by ShenzhouII spacecraft. By studying processing and formation on semiconductor and optoelectronics materials, metal alloys and metastable materials, functional single-crystal, micro-and nano-composite materials encapsulated in sample ampoules both in space and on Earth, we expect to explore some physical and chemical processes and mechanism of the materials formation that are normally obscured and therefore are difficult to study quantitatively on the ground due to the gravity-induced convection, to obtain the processing and synthesis technology for preparing high quality materials, and lead to the improvement and development of materials processing techniques on Earth, and also develop the experiment device and comprehensive ability for materials experiment in microgravity environment. This report briefly introduces the main points of each research work and preliminary comparative analysis results of 12 samples carried out by scientists undertaking research task. | LI Xiangyang LU Ye MENG Xiangjian WANG Jianlu WANG Reng CHEN Lidong HUA Zile LI Xiaoya SHI Jianlin LIU Jinfeng XU Guisheng WEI Bingbo XIE Wenjun YIN Zhigang ZHANG Xingwang JIANG Hongxiang LI Hong LUO Xinghong ZHANG Haifeng ZHAO Jiuzhou WANG Binbin PAN Mingxiang | 2018 | 空间科学学报2018，38，5： | 4 |
| 2 | Cost-Minimized Virtual Elastic Optical Network Provisioning with Guaranteed QoS显示文摘Network virtualization is important for elastic optical networks(EONs)because of more flexible service provisioning.To ensure guaranteed quality of service(QoS)for each virtual elastic optical network(VEON),clients usually request network resources from a network operator based on their bandwidth requirements predicted from historical traffic demands.However,this may not be efficient as the actual traffic demands of users always fluctuate.To tackle this,we propose a new VEON service provisioning scheme,called SATP,which consists of three stages,i.e.,spectrum assignment(SA),spectrum trading(ST),and spectrum purchasing(SP).Unlike conventional once-for-all VEON service provisioning approaches,the SATP scheme first allocates spectrum resources to VEONs according to their predicted bandwidth requirements with a satisfaction ratio α(0<α≤1).Then,to minimize service degradation on VEONs which are short of assigned spectra for their peak traffic periods,the scheme allows VEONs to trade spectra with each other according to their actual bandwidth requirements.Finally,it allows VEON clients to purchase extra spectrum resources from a network operator if the spectrum resources are still insufficient.To optimize this entire process,we formulate the problem as a mixed integer linear programming(MILP)model and also develop efficient heuristic algorithms for each stage to handle large test scenarios.Simulations are conducted under different test conditions for both static and dynamic traffic demand scenarios.Results show that the proposed SATP scheme is efficient and can achieve significant performance improvement under both static and dynamic scenarios. | Shifeng Ding Zile Jiang Sanjay K.Bose Gangxiang Shen | 2021 | China Communications2021，18，9： | 0 |
| 3 | Attentional Ptycho-Tomography(APT)for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time显示文摘Noninvasive X-ray imaging of nanoscale three-dimensional objects,such as integrated circuits(ICs),generally requires two types of scanning:ptychographic,which is translational and returns estimates of the complex electromagnetic field through the IC;combined with a tomographic scan,which collects these complex field projections from multiple angles.Here,we present Attentional Ptycho-Tomography(APT),an approach to drastically reduce the amount of angular scanning,and thus the total acquisition time.APT is machine learning-based,utilizing axial self-Attention for Ptycho-Tomographic reconstruction.APT is trained to obtain accurate reconstructions of the ICs,despite the incompleteness of the measurements.The training process includes regularizing priors in the form of typical patterns found in IC interiors,and the physics of X-ray propagation through the IC.We show that APT with×12 reduced angles achieves fidelity comparable to the gold standard Simultaneous Algebraic Reconstruction Technique(SART)with the original set of angles.When using the same set of reduced angles,then APT also outperforms Filtered Back Projection(FBP),Simultaneous Iterative Reconstruction Technique(SIRT)and SART.The time needed to compute the reconstruction is also reduced,because the trained neural network is a forward operation,unlike the iterative nature of these alternatives.Our experiments show that,without loss in quality,for a 4.48×93.2×3.92µm^(3) IC(≃6×10^(8) voxels),APT reduces the total data acquisition and computation time from 67.96 h to 38 min.We expect our physics-assisted and attention-utilizing machine learning framework to be applicable to other branches of nanoscale imaging,including materials science and biological imaging. | Iksung Kang Ziling Wu Yi Jiang Yudong Yao Junjing Deng Jeffrey Klug Stefan Vogt George Barbastathis | 2023 | Light(Science & Applications)2023，12，6： | 0 |
| 4 | Mitigation of the Instability of Ultrafast Li-Ion Conductor Li_(6.6)Si_(0.6)Sb_(0.4)S_(5)I Enables High-Performance All-Solid-State Batteries显示文摘Solid-state batteries with excellent safety and high energy density display great potential as next-generation energy storage devices.However,few solid electrolytes simultaneously possess high ionic conductivity and good chemical and electrochemical stability.Herein,pure argyrodite Li_(6.6)Si_(0.6)Sb_(0.4)S_(5)I electrolyte with high Li-ion conductivity(9.0 mS cm−1)and poor stability is successfully synthesized via the typical mechanochemical route.Interfacial instability of this electrolyte with different electrode materials is investigated.A highly conductive Li_(3)InCl_(6)electrolyte,with a wide voltage window and excellent chemical and electrochemical stability,active material,and conductive carbon are introduced in the battery configuration,resulting in superior electrochemical performances with the bare LiNi_(0.7)Mn_(0.2)Co_(0.1)O_(2)cathode.The corresponding battery delivers a discharge capacity of 162.1 mAh g^(−1)at 0.5C and maintains 83.8%of the capacity after 200 cycles at room temperature.Moreover,this battery with a cathode mass loading of 6.37 mg cm−2 displays discharge capacities of 197.5 and 73.4 mAh g^(−1)at the beginning when cycled at 0.5C and 0.1C under the operating temperature of 60 and−20℃,respectively.The battery also achieved superior stablecycling performances at both temperatures.Due to the fast ionic conductivity from Li_(6.6)Si_(0.6)Sb_(0.4)S_(5)I and high electronic conductivity from carbon in the cathode,the thick-electrode configurations with huge mass loadings of 50.96 and 76.43 mg cm^(−2)also exhibit good capacities and highly reversible cyclability.This work provides a guideline for enabling superior conducting sulfide electrolytes with poor stability in thick-electrode configuration solid-state batteries. | Cong Liao Chuang Yu Shaoqing Chen Chaochao Wei Zhongkai Wu Shuai Chen Ziling Jiang Shijie Cheng Jia Xie | 2023 | Renewables2023，1，2： | 0 |
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