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| 1 | Inverse design of low boom configurations using proper orthogonal decomposition and augmented Burgers equation显示文摘Mitigation of sonic boom to an acceptable stage is a key point for the next generation of supersonic transports. Meanwhile, designing a supersonic aircraft with an ideal ground signature is always the focus of research on sonic boom reduction. This paper presents an inverse design approach to optimize the near-field signature of an aircraft, making it close to the shaped ideal ground signature after the propagation in the atmosphere. Using the Proper Orthogonal Decomposition(POD) method, a guessed input of augmented Burgers equation is inversely achieved. By multiple POD iterations, the guessed ground signatures successively approach the target ground signature until the convergence criteria is reached. Finally, the corresponding equivalent area distribution is calculated from the optimal near-field signature through the classical Whitham F-function theory. To validate this method, an optimization example of Lockheed Martin 1021 is demonstrated. The modified configuration has a fully shaped ground signature and achieves a drop of perceived loudness by 7.94 PLdB. This improvement is achieved via shaping the original near-field signature into wiggles and damping it by atmospheric attenuation. At last, a nonphysical ground signature is set as the target to test the robustness of this inverse design method and shows that this method is robust enough for various inputs. | Yidian ZHANG Jiangtao HUANG Zhenghong GAO Chao WANG Bowen SHU | 2019 | Chinese Journal of Aeronautics2019，32，6： | 7 |
| 2 | A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task显示文摘This paper presents a winning solution for the CCKS-2020 financial event extraction task, where the goal is to identify event types, triggers and arguments in sentences across multiple event types. In this task, we focus on resolving two challenging problems(i.e., low resources and element overlapping) by proposing a joint learning framework, named SaltyFishes. We first formulate the event extraction task as a joint probability model. By sharing parameters in the model across different types, we can learn to adapt to low-resource events based on high-resource events. We further address the element overlapping problems by a mechanism of Conditional Layer Normalization, achieving even better extraction accuracy. The overall approach achieves an F1-score of 87.8% which ranks the first place in the competition. | Jiawei Sheng Qian Li Yiming Hei Shu Guo Bowen Yu Lihong Wang Min He Tingwen Liu Hongbo Xu | 2021 | Data Intelligence2021，3，3： | 4 |
| 3 | Mutation in a novel gene SMALL AND CORDATELEAF 1 affects leaf morphology in cucumber显示文摘Plant species exhibit substantial variation in leaf morphology.VWe isolated a recessive mutant gene termed small and cordate leaf 1(sclh)that causes alteration in both leaf size and shape of cucumber.Compared to wild type leaves,the sclh mutant had fewer numbers of epidermal pavement cells.A single nucleotide polymorphism was associated with this leaf phenotype,which occurred in a putative nucleoside bisphosphate phosphatase.RNA-seq analysis of the wild type and sclh mutant leaves suggested that SCL_1 regulation may not involve known hormonal pathways.Our work identified a candidate gene for SCL_1 that may play a role in leaf development. | Dongli Gao Chunzhi Zhang Shu Zhang Bowen Hu Shenhao Wang Zhonghua Zhang Sanwen Huang | 2017 | Journal of Integrative Plant Biology2017，59，10： | 3 |
| 4 | Towards silicon photonic neural networks for artificial intelligence显示文摘Brain-inspired photonic neural networks for artificial intelligence have attracted renewed interest.For many computational tasks,such as image recognition,speech processing and deep learning,photonic neural networks have the potential to increase the computing speed and energy efficiency on the orders of magnitude compared with digital electronics.Silicon Photonics,which combines the advantages of electronics and photonics,brings hope for the large-scale photonic neural network integration.This paper walks through the basic concept of artificial neural networks and focuses on the key devices which construct the silicon photonic neuromorphic systems.We review some recent important progress in silicon photonic neural networks,which include multilayer artificial neural networks and brain-like neuromorphic systems,for artificial intelligence.A prototype of silicon photonic artificial intelligence processor for ultra-fast neural network computing is also proposed.We hope this paper gives a detailed overview and a deeper understanding of this emerging field. | Bowen BAI Haowen SHU Xingjun WANG Weiwen ZOU | 2020 | Science China(Information Sciences)2020，63，6： | 3 |
| 5 | Optical coherent dot-product chip for sophisticated deep learning regression显示文摘Optical implementations of neural networks(ONNs)herald the next-generation high-speed and energy-efficient deep learning computing by harnessing the technical advantages of large bandwidth and high parallelism of optics.However,due to the problems of the incomplete numerical domain,limited hardware scale,or inadequate numerical accuracy,the majority of existing ONNs were studied for basic classification tasks.Given that regression is a fundamental form of deep learning and accounts for a large part of current artificial intelligence applications,it is necessary to master deep learning regression for further development and deployment of ONNs.Here,we demonstrate a silicon-based optical coherent dot-product chip(OCDC)capable of completing deep learning regression tasks.The OCDC adopts optical fields to carry out operations in the complete real-value domain instead of in only the positive domain.Via reusing,a single chip conducts matrix multiplications and convolutions in neural networks of any complexity.Also,hardware deviations are compensated via in-situ backpropagation control provided the simplicity of chip architecture.Therefore,the OCDC meets the requirements for sophisticated regression tasks and we successfully demonstrate a representative neural network,the AUTOMAP(a cutting-edge neural network model for image reconstruction).The quality of reconstructed images by the OCDC and a 32-bit digital computer is comparable.To the best of our knowledge,there is no precedent of performing such state-of-the-art regression tasks on ONN chips.It is anticipated that the OCDC can promote the novel accomplishment of ONNs in modern AI applications including autonomous driving,natural language processing,and scientific study. | Shaofu Xu Jing Wang Haowen Shu Zhike Zhang Sicheng Yi Bowen Bai Xingjun Wang Jianguo Liu Weiwen Zou | 2021 | Light(Science & Applications)2021，10，12： | 2 |
| 6 | Multiplexed Profiling of Extracellular Vesicles for Biomarker Development显示文摘Extracellular vesicles(EVs)are cell-derived membranous particles that play a crucial role in molecular trafficking,intercellular transport and the egress of unwanted proteins.They have been implicated in many diseases including cancer and neurodegeneration.EVs are detected in all bodily fluids,and their protein and nucleic acid content offers a means of assessing the status of the cells from which they originated.As such,they provide opportunities in biomarker discovery for diagnosis,prognosis or the stratification of diseases as well as an objective monitoring of therapies.The simultaneous assaying of multiple EV-derived markers will be required for an impactful practical application,and multiplexing platforms have evolved with the potential to achieve this.Herein,we provide a comprehensive overview of the currently available multiplexing platforms for EV analysis,with a primary focus on miniaturized and integrated devices that offer potential step changes in analytical power,throughput and consistency. | Cheng Jiang Ying Fu Guozhen Liu Bowen Shu Jason Davis George K.Tofaris | 2022 | Nano-Micro Letters2022，14，1： | 1 |
| 7 | Integration of microfluidic injection analysis with carbon nanomaterials/gold nanowire arrays-based biosensors for glucose detection显示文摘Carbon nanotubes(CNTs) and reduced graphene oxide(r GO) nanosheets were utilized to construct glucose biosensors in combination with gold nanowire arrays(Au NWAs), and microfluidic injection analysis driven by gravity force was used to investigate the performances of as-prepared glucose biosensors. The results demonstrated glucose biosensors based on carbon nanomaterials/Au NWAs presented excellent performance at low working potential of-0.2 V versus Ag/Ag Cl(3 mol/L KCl), such as high sensitivity, good anti-interference ability and high throughput(45 h^(-1)). The glucose biosensor based on glucose oxidase(GOx)–CNT–Au NWAs showed a wide linear range from 100 to 3,000 lmol/L with a sensitivity of 4.12 l A/cm^2 mmol/L. Furthermore, the linear range and sensitivity of GOx–r GO–Au NWAs-based glucose biosensor were 50–4,000 lmol/L and 8.59 l A/(cm^2 mmol/L), respectively, which were better than those of glucose biosensor based on GOx–CNT–Au NWAs,suggesting r GO nanosheets in combination with Au NWAs being a good platform for the construction of glucose biosensors. | Yongqiang Qin Jiewu Cui Yong Zhang Yan Wang Xinyi Zhang Hongmei Zheng Xia Shu Bowen Fu Yucheng Wu | 2016 | Science Bulletin2016，61，6： | 1 |
| 8 | Comparison of outcomes between immediate implantbased and autologous reconstruction: 15-year, single-center experience in a propensity score-matched Chinese cohort显示文摘Objective:The number of immediate breast reconstruction(IBR)procedures has been increasing in China.This study aimed to investigate the oncological safety of IBR,and to compare the survival and surgical outcomes between implant-based and autologous reconstruction.Methods:Data from patients diagnosed with invasive breast cancer who underwent immediate total breast reconstruction between 2001 and 2016 were retrospectively reviewed.Long-term breast cancer-specific survival(BCSS),disease-free survival(DFS),and locoregional recurrence-free survival(LRFS)were evaluated.Patient satisfaction with the breast was compared between the implantbased and autologous groups.BCSS,DFS,and LRFS were compared between groups after propensity score matching(PSM).Results:A total of 784 IBR procedures were identified,of which 584 were performed on patients with invasive breast cancer(implantbased,n=288;autologous,n=296).With a median follow-up of 71.3 months,the 10-year estimates of BCSS,DFS,and LRFS were 88.9%[95%confidence interval(CI)(85.1%–93.0%)],79.6%[95%CI(74.7%–84.8%)],and 94.0%[95%CI(90.3%–97.8%)],respectively.A total of 124 patients completed the Breast-Q questionnaire,and no statistically significant differences were noted between groups(P=0.823).After PSM with 27 variables,no statistically significant differences in BCSS,DFS,and LRFS were found between the implant-based(n=177)and autologous(n=177)groups.Further stratification according to staging,histological grade,lymph node status,and lymph-venous invasion status revealed no significant survival differences between groups.Conclusions:Both immediate implant-based and autologous reconstruction were reasonable choices with similar long-term oncological outcomes and patient-reported satisfaction among patients with invasive breast cancer in China. | Shanshan He Bowen Ding Gang Li Yubei Huang Chunyong Han Jingyan Sun Qingfeng Huang Jing Liu Zhuming Yin Shu Wang Jian Yin | 2022 | Cancer Biology & Medicine2022，19，9： | 1 |
| 9 | A four-dimensional interaction-based appraisal approach towards the performance enhancement of a vehicular waste heat recovery system显示文摘The non-linear multifactorial impacts on fuel-saving potential constrain the practical performance of the vehicular waste heat recovery system(WHRS). This study proposed a four-dimensional interaction-based appraisal approach to interpreting these impacts for enhancing WHRS's in-vehicle performance. The interaction incorporates a heat exchanger, configuration, engine,and vehicle. The proposed approach comprises two successive steps, emphasizing evaluation under the rated(Step 1) and off-design(Step 2) heat source conditions. A case study of waste heat recovery from a passenger vehicle was conducted to evaluate the in-vehicle performance of a novel co-split system and two single-split ones(with/without a regenerator) through this approach. The novel system theoretically modifies vehicular performance but remains ambiguous concerning real-world behaviour, which is assessed and verified by the proposed approach. Two key factors determining vehicular performance were identified by Step 1, namely, net power output and engine backpressure. As the co-split system modified both factors, its fuel-saving potential could be increased by up to 20.3% compared with single-split systems. Also, the limiting factor for off-design performance was pinpointed by Step 2, namely, the mismatch between the heat source and working fluid, which led to the solution, i.e., the synergistic split regulation of the working fluid and heat source. An up to 8.8% improvement in net power output was achieved by the co-split system at off-design heat sources compared with fixed split ratios. Consequently, the approach enables holistic performance improvement of the vehicular WHRS under design/off-design heat source conditions. | LU BoWen SHI LingFeng TIAN Hua WANG Xuan ZHANG MeiYan SHU GeQun | 2022 | Science China(Technological Sciences)2022，65，12： | 0 |
| 10 | Aerodynamic/stealth design of S-duct inlet based on discrete adjoint method显示文摘It is a major challenge for the airframe-inlet design of modern combat aircrafts,as the flow and electromagnetic wave propagation in the inlet of stealth aircraft are very complex.In this study,an aerodynamic/stealth optimization design method for an S-duct inlet is proposed.The upwind scheme is introduced to the aerodynamic adjoint equation to resolve the shock wave and flow separation.The multilevel fast multipole algorithm(MLFMA)is utilized for the stealth adjoint equation.A dorsal S-duct inlet of flying wing layout is optimized to improve the aerodynamic and stealth characteristics.Both the aerodynamic and stealth characteristics of the inlet are effectively improved.Finally,the optimization results are analyzed,and it shows that the main contradiction between aerodynamic characteristics and stealth characteristics is the centerline and crosssectional area.The S-duct is smoothed,and the cross-sectional area is increased to improve the aerodynamic characteristics,while it is completely opposite for the stealth design.The radar cross section(RCS)is reduced by phase cancelation for low frequency conditions.The method is suitable for the aerodynamic/stealth design of the aircraft airframe-inlet system. | Jun DENG Ke ZHAO Lin ZHOU Wei ZHANG Bowen SHU Jiangtao HUANG Zhenghong GAO | 2024 | Applied Mathematics and Mechanics(English Edition)2024，45，4： | 0 |
| 11 | Genome-wide Association Analysis of Maize Flowering Traits显示文摘Flowering regulation is important for maize to adapt to a variety of environments as well as associated with high yield.In this study,the genetic mechanism of three flowering traits of 310 maize inbred lines with rich genetic background was investigated in three years at three different environments such as days to tasseling(DTT),days to silking(DTS)and days to pollen shedding(DTP).Based on mean performance,the longest flowering time was observed in Zhanyi(2018),whereas the shortest in Shizong(2019).The coefficient of variance depicted the range from 3.62%to 9.06%for three flowering traits under all environments.Therefore,we have integrated these flowering traits corresponding to SNP molecular markers for genome-wide association study(GWAS).Results showed that 22 SNPs markers were significantly associated with DTT according to physical position and average linkage disequilibrium(LD)decay distance,and a total of 234 candidate genes were identified near these significantly associated SNP markers.Moreover,KEGG and GO analysis showed that these genes were enriched in the regulation of the physiological pathways for flowering.In more details,16 genes involved in development of floral organs are more worthy of our attention in future studies. | Haiying ZHANG Shu GAO Binyang LI Haixu ZHONG Zhicheng ZHANG Bowen LUO | 2020 | Asian Agricultural Research2020，12，12： | 0 |
| 12 | An ultra-compact polarization-insensitive slot-strip mode converter显示文摘Integrated waveguides with slot structures have attracted increasing attention due to their advantages of tight mode confinement and strong light-matter interaction.Although extensively studied,the issue of mode mismatch with other strip waveguide-based optical devices is a huge challenge that prevents integrated waveguides from being widely utilized in large-scale photonic-based circuits.In this paper,we demonstrate an ultra-compact low-loss slot-strip converter with polarization insensitivity based on the multimode interference(MMI)effect.Sleek sinusoidal profiles are adopted to allow for smooth connection between the slot and strip waveguide,resulting reflection reduction.By manipulating the MMI effect with structure optimization,the self-imaging positions of the TE0 and TM0 modes are aligned with minimized footprint,leading to low-loss transmission for both polarizations.The measurement results show that high coupling efficiencies of−0.40 and−0.64 dB are achieved for TE_(0) and TM_(0) polarizations,respectively.The device has dimensions as small as 1.1μm×1.2μm and composed of factory-available structures.The above characteristics of our proposed compact slot-strip converter makes it a promising device for future deployment in multi-functional integrated photonics systems. | Zihan Tao Bo Wang Bowen Bai Ruixuan Chen Haowen Shu Xuguang Zhang Xingjun Wang | 2022 | Frontiers of Optoelectronics2022，15，1： | 0 |
| 13 | Adaptive step-size forward advection method for aerosol process simulation显示文摘Outdoor aerosol processes are often associated with disasters and diseases,which threaten human life and health.Outdoor aerosols are afluid system affected by meteorological conditions and three-dimensional complex terrain.Their variable wind speed and direction and complex terrain boundary conditions make simulating advection processes difficult.Based on incompressibleflow conditions,we designed an adaptive time step algorithm for forward advection for the rapid simulation of aerosol processes.The method is based on thefirst-order forward semi-Lagrangian advection method with unconditional mass conservation.Thefirst-order truncated error coefficient function theory generates an adaptive time step to control the accuracy of forward advection.Smoke aerosol simulation experiments in two small outdoor scenes were designed,and the effects of the traditional backward advection and forwardfixed step methods were compared with the algorithm in this study.The proposed simulation method showed improved accuracy compared with the other two methods in experimental scenarios;moreover,compared with those of the traditional backward method,the computation time was significantly reduced and the conservation of mass was significantly improved.Thus,the proposed method is a fast simulation method for outdoor aerosol numerical prediction.KEY POLICY HIGHLIGHTS.The first-order forward semi-Lagrangian method,which requires no iteration and less computation and offers unconditional conservation,was used..The law of truncation error coefficient of thefirst-order forward method was studied and an adaptive step algorithm was designed..Full-size real aerosol experiments in small-scale complex outdoor scenes were conducted for verification and comparison of simulation effects. | Yuang Wu Shuo Liu Bowen Shu Weichao Sun Sheng Wang Hongyang Zhang Chenchen Chen | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 14 | Preparation and Properties of Electrospun Sheath-core Modified-PMMA Nanofibers with Photoluminescence and Photochromic Functions显示文摘Multi-functional nanofibers are playing an important role in the optical field,and are widely used in fluorescence indication,product anti-counterfeit identification and smart clothing.Nanofibers with photoluminescence and photochromic functions are already attracting more interest from researchers.In this work,based on electrospun technology,the modified-PMMA nanofibers[PMMA=poly(methyl methacrylate)]with photoluminescence and photochromic functions were prepared through the design of the sheath-core structure(SCNFs 1-4).Compared with other samples,SCNF-4 shows outstanding photoluminescence and photochromic functions.SCNF-4 can produce green light and its fluorescence intensity and fluorescence lifetime can reach 7144 a.u.and 1031.32µs,respectively.In photochromic functions,SCNF-4 can show purple in 1 min under the 365 nm ultraviolet light,and the color can be preserved for more than 4 h under the sunlight.When SCNF-4 is irradiated by far infrared light,the color of the samples can fade quickly in 40 s.Under the irradiation of ultraviolet light of different wavelengths,SCNF-4 can display multi-color fluorescence and achieve a reversible transition between white and purple.The design of the sheath-core structure realizes the complementarity of photoluminescence and photochromic functions of the electrospun modified-PMMA nanofibers,which is important to promote the wide application of multi-functional nanofibers in the optical field. | WANG Yan XI Peng SHU Dengkun MENG Shuang LIU Kai WANG Xiaoqing CHENG Bowen | 2021 | Chemical Research in Chinese Universities2021，37，3： | 0 |
| 15 | Study of a 560-mm-long stripline kicker for HIT 10 MeV electron accelerator显示文摘Purpose A stripline kicker is required for Harbin Institute of Technology(HIT)10 MeV electron accelerator to scan electrons horizontally in two directions,and the maximum deflecting angle is 65 mrad.In this study,a 560-mm-long stripline kicker was designed to achieve good field uniformity and odd mode impedance matching.Methods In order to reduce power reflections and meet field uniformity requirement,we optimized the cross section of the kicker main body.Design and optimization of the stripline kicker were finished by CST.Results The field uniformity is 2%in the 60 mm(x)×80 mm(y)region,as required.Considering impedance matching and manufacturing,the transmission odd mode impedance was finally chosen to 45Ω,which indicated a reflecting loss of less than−50 dB below 1 MHz.The maximum field is less than 7 MV/m with a maximum pulse voltage of±22 kV between the two electrodes when the electrons pass through the kicker.Conclusions The physical design of the stripline kicker has been finished,and the simulation results satisfied the requirements. | Jianbin Zhu Hua Shi Bowen Bai Shu Zhang Zhandong Zhang Bin Chen Yunlong Chi | 2021 | Radiation Detection Technology and Methods2021，5，3： | 0 |
| 16 | Special topic-Fisheries monitoring:Eyes in the ocean:Innovative and multidimensional solutions to monitor fisheries显示文摘In the era of climate change,the visibility of environmental changes dictates public attention.Pictures of untamable bushfires,intense hurricanes,collapsing ice sheets are all gripping images that alarm us and urge us to take action.The ocean,however,gives us less such visuals;the changes that are taking place there are often abstract and hidden.However,the environmental challenges in the ocean are less visible but no less grave;they come from multiple sources:pollution,plastic waste,ocean surface warming,ocean acidification(IPCC,2019).But the most direct and age-old impact we exert on the ocean and its ecosystems is overfishing(FAO,2018). | Bowen Chang Shu Su Chongliang Zhang Yiping Ren Xiujuan Shan Jake Kritzer Yong Chen | 2020 | Aquaculture and Fisheries2020，5，3： | 0 |
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