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Performance enhancement of perovskite solar cells with Cs2PtI6-xBrx absorber layer based on numerical simulation

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Optoelectronics Letters 2025年

作者： Du Zuyan Yuan Yujie hou Guofu Xin Yupeng Bi jinlian Li Wei Tianjin Key Laboratory of Film Electronic and Communication Devices， School of Integrated Circuit Science and Engineering， Tianjin University of Technology Institute of Photoelectronic Thin Film Devices and Technology， Nankai University

Cs2TiBr6， characterized as a lead-free vacancy-ordered double perovskite material， demonstrates notable stability and photoelectric performance， rendering it suitable for application in perovskite solar cells. However， the experimental efficiency of this material is currently limited， achieving only 3.12%. This efficiency limitation primarily stems from the material’s wide bandgap， which results in insufficient light absorption. To address this issue， this study utilized Cs2PtI6-xBrxfor band structure fine-tuning. By adjusting the bandgap of Cs2PtI6-xBrxthrough Br-doping， not only was the alignment of the energy bandgap in the absorption layer effectively adjusted， but the cutoff range of light absorption was also significantly expanded. Setting the Cs2PtI6-xBrxbandgap to 1.4 eV resulted in optimal device performance. Additionally， comparative analyses aimed at boosting solar cell efficiency were performed on both hole transport and electron transport layer materials. Subsequently， the structure of the perovskite solar cell was optimized using an FTO/TiO2/Cs2TiBr6/Cs2PtI6-xBrx/Cu2O/Au configuration. Furthermore， the influence of the absorber layer thickness and defect density on device performance was studied. Ultimately， this configuration enabled the Cs2TiBr6/Cs2PtI6-xBrxsolar cell to achieve a peak conversion efficiency of 29.69%.

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Crack Fault Diagnosis and Location Method for a Dual-Disk Hollow Shaft Rotor System Based on the Radial Basis Function Network and Pattern Recognition Neural Network

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Chinese Journal of Mechanical Engineering 2023年第2期36卷 180-197页

作者： Yuhong jin Lei hou Zhenyong Lu Yushu Chen School of Astronautics Harbin Institute of TechnologyHarbin 150001China Institute of Dynamics and Control Science Shandong Normal UniversityJi’nan 250014China

The crack fault is one of the most common faults in the rotor system,and researchers have paid close attention to its fault ***,most studies focus on discussing the dynamic response characteristics caused by the crack rather than estimating the crack depth and position based on the obtained vibration *** this paper,a novel crack fault diagnosis and location method for a dual-disk hollow shaft rotor system based on the Radial basis function(RBF)network and Pattern recognition neural network(PRNN)is ***,a rotor system model with a breathing crack suitable for a short-thick hollow shaft rotor is established based on the finite element method,where the crack's periodic opening and closing pattern and different degrees of crack depth are ***,the dynamic response is obtained by the harmonic balance *** adjusting the crack parameters,the dynamic characteristics related to the crack depth and position are analyzed through the amplitude-frequency responses and waterfall *** analysis results show that the first critical speed,first subcritical speed,first critical speed amplitude,and super-harmonic resonance peak at the first subcritical speed can be utilized for the crack fault *** on this,the RBF network and PRNN are adopted to determine the depth and approximate location of the crack respectively by taking the above dynamic characteristics as *** results show that the proposed method has high fault diagnosis *** research proposes a crack detection method adequate for the hollow shaft rotor system,where the crack depth and position are both unknown.

关键词： Hollow shaft rotor Breathing crack Radial basis function network Pattern recognition neural network Machine learning

A new eutriconodont mammal from the early Cretaceous Jehol Biota of Liaoning, China

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Chinese Science Bulletin 2014年第5期59卷 546-553页

作者： Shilin hou jin Meng Department of Geology Northeastern University Paleontological Institute Shenyang Normal University Division of Paleontology American Museum of Natural History Key Laboratory of Vertebrate Evolution and Human Origin of Chinese Academy of Sciences Institute of Vertebrate Paleontology and Paleoanthropology Chinese Academy of Sciences

A new genus and species of eutriconodont mammal,Chaoyangodens lii *** ***.,from the Dawangzhangzi bed of Yixian Formation,Lingyuan,Liaoning,is *** new species has a tooth formula I5-C1-P1-M3/i4-c1-p1-m4,unique among eutriconodonts in having only one premolar in lower and upper jaws,respectively,and a distinctive diastema between the canine and the *** simple incisors and reduced premolars show a mosaic combination of primitive and derived *** new taxon adds to the diverse group of Jehol *** the known species from at least three horizons,there seems no evolutionary trend in morphology that is recognizable,except for that larger species are all from the Lujiatun bed of the Yixian Fm.A thorough and systematic analysis involving all the Jehol eutriconodonts is needed to understand their phylogenetic relationships.

关键词：热河生物群哺乳动物早白垩世辽宁中国新分类群外部形态亲缘关系

An effective crack position diagnosis method for the hollow shaft rotor system based on the convolutional neural network and deep metric learning

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Chinese Journal of Aeronautics 2022年第9期35卷 242-254页

作者： Yuhong jin Lei hou Yushu CHEN Zhenyong LU School of Astronautics Harbin Institute of TechnologyHarbin 150001China Institute of Dynamics and Control Science Shandong Normal UniversityJi'nan 250014China

In recent years, the crack fault is one of the most common faults in the rotor system and it is still a challenge for crack position diagnosis in the hollow shaft rotor system. In this paper, a method based on the Convolutional Neural Network and deep metric learning(CNN-C) is proposed to effectively identify the crack position for a hollow shaft rotor system. Center-loss function is used to enhance the performance of neural network. Main contributions include: Firstly, the dynamic response of the dual-disks hollow shaft rotor system is obtained. The analysis results show that the crack will cause super-harmonic resonance, and the peak value of it is closely related to the position and depth of the crack. In addition, the amplitude near the non-resonant region also has relationship with the crack parameters. Secondly, we proposed an effective crack position diagnosis method which has the highest 99.04% recognition accuracy compared with other algorithms. Then,the influence of penalty factor on CNN-C performance is analyzed, which shows that too high penalty factor will lead to the decline of the neural network performance. Finally, the feature vectors are visualized via t-distributed Stochastic Neighbor Embedding(t-SNE). Naive Bayes classifier(NB) and K-Nearest Neighbor algorithm(KNN) are used to verify the validity of the feature vectors extracted by CNN-C. The results show that NB and KNN have more regular decision boundaries and higher recognition accuracy on the feature vectors data set extracted by CNN-C,indicating that the feature vectors extracted by CNN-C have great intra-class compactness and inter-class separability.

关键词： Convolutional neural networks Cracked rotor Deep metric learning Fault diagnosis Hollow shaft rotor

High-order targeted essentially non-oscillatory scheme for two-fluid plasma model

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Applied Mathematics and Mechanics(English Edition) 2023年第6期44卷 941-960页

作者： Yuhang hou Ke jin Yongliang FENG Xiaojing ZHENG School of Aeronautics Northwestern Polytechnical UniversityXi’an 710072China Institute of Extreme Mechanics Northwestern Polytechnical UniversityXi’an 710072China Shaanxi Key Laboratory of Space Extreme Detection Xi’an 710071China Research Center for Applied Mechanics Xidian UniversityXi’an 710071China

The weakly ionized plasma flows in aerospace are commonly simulated by the single-fluid model,which cannot describe certain nonequilibrium phenomena by finite collisions of particles,decreasing the fidelity of the *** on an alternative formulation of the targeted essentially non-oscillatory(TENO)scheme,a novel high-order numerical scheme is proposed to simulate the two-fluid plasmas *** numerical flux is constructed by the TENO interpolation of the solution and its derivatives,instead of being reconstructed from the physical *** present scheme is used to solve the two sets of Euler equations coupled with Maxwell's *** numerical methods are verified by several classical plasma *** results show that compared with the original TENO scheme,the present scheme can suppress the non-physical oscillations and reduce the numerical dissipation.

关键词： plasma high-order scheme targeted essentially non-oscillatory(TENO)scheme two-fluid model

The SSA-BP-based potential threat prediction for aerial target considering commander emotion

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Defence Technology（防务技术） 2022年第11期18卷 2097-2106页

作者： Xun Wang jin Liu Tao hou Chao Pan College of Information Science and Engineering Wuhan University of Science and TechnologyWuhan430081China Beijing Xin Li Machinery Limited Liability Company Beijing100039China School of Information and Communication Engineering Hubei University of EconomicsWuhan430205China

The target's threat prediction is an essential procedure for the situation analysis in an aerial defense ***,the traditional threat prediction methods mostly ignore the effect of commander's *** only predict a target's present threat from the target's features itself,which leads to their poor ability in a complex *** aerial targets,this paper proposes a method for its potential threat prediction considering commander emotion(PTP-CE)that uses the Bi-directional LSTM(BiLSTM)network and the backpropagation neural network(BP)optimized by the sparrow search algorithm(SSA).Furthermore,we use the BiLSTM to predict the target's future state from real-time series data,and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction ***,the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized *** experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction,regardless of commander's emotional effect.

关键词： Aerial targets Emotional factors Potential threat prediction BiLSTM Sparrow search algorithm Neural network

Toll-like receptor 2-mediated NF-kappa B pathway activation in ocular surface epithelial cells

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Eye and Vision 2017年第1期4卷 93-99页

作者： Aihua hou Min Qi Tin Louis tong Ocular Surface Research Group Singapore Eye Research InstituteSingaporeSingapore Duke-NUS Graduate Medical School SingaporeSingapore Singapore National Eye Center SingaporeSingapore Yong Loo Lin School of Medicine National University of SingaporeSingaporeSingapore

Background:Gram-positive bacteria stimulate Toll-like receptor(TLR)2 and then activate the pro-inflammatory nuclear factor-kappa B(NF-κB)*** the human ocular surface is heavily colonised by gram-positive cocci bacteria,a balance of activation/repression of NF-κB target genes is essential to avoid uncontrolled infection or autoimmune-related *** is advantageous to test NF-κB targeting molecules in an ocular surface culture system that allows assessment of temporal NF-κB activation in a longitudinal fashion without destruction of *** initial testing under standardised conditions should reduce the number of molecules that progress to further evaluation in animal *** study aims to establish an in-vitro cell culture system to assess NF-κB activation in the context of ocular surface ***:NF-κB activity was evaluated through a secretory alkaline phosphatase reporter assay(SEAP).Immunoblots and immunofluorescence were used to examine IκBαphosphorylation and p65/p50 nuclear *** chemoattractant protein-1(MCP-1)transcripts were evaluated by real time PCR and protein levels were measured by ***:NF-κB activity in HCE-T cells treated with TLR2 activator Pam3CSK4 was higher than control cells at both 6 and 24 ***3CSK4-stimulated NF-κB activation was inhibited by IκK inhibitors,Wedelolactone and *** Pam3CSK4 treated cells,active NF-κB subunits p50 and p65 increased in cell nuclear fractions as early as 1.5 *** the level of total IκB-αremained constant,phospho-IκB-αincreased with treatment over *** the culture media of Pam3CSK4-stimulated cells,MCP-1 protein level was increased,which was suppressed in the presence of IκK ***:NF-κB pathway can be activated by the TLR2 ligand and inhibited by IκK inhibitors in the ocular surface cell culture *** cell culture system may be used to evaluate TLR-related innate defences in ocular surface diseases.

关键词： TLR2 NF-κB pathway Activation Ocular surface cells

Neodymium-catalyzed Polymerization of C5 Fraction: Efficient Synthesis of 1,3-Pentadiene-isoprene Copolymer Rubbers

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Chinese Journal of Polymer Science 2019年第7期37卷 674-680页

作者： jin-Yan hou Fang Guo Qian Hu Yang Li Zhao-Min hou State Key Laboratory of Fine Chemicals Department of Polymer Science and EngineeringSchool of Chemical EngineeringDalian University of TechnologyDalian 116012China Fushun Yikesi New Material Co. Ltd.Fushun 113000China Advanced Catalysis Research Group RIKEN Center for Sustainable Resource Science2-1 HirosawaWakoSaitama 351-0198Japan

The polymerization of C5 fraction without separation and concentration by using a commercial available Nd(P204)3/ AliBu3/AlEt2Cl has afforded for the first time a new kind of 1,3-pentadiene-isoprene random copolymers as rubber materials. Isoprene (IP) and E-1,3-pentadiene (EPD) acted as polymerization monomers, cyclopentadiene acted as poison, and other substances like alkanes, monoolefins, Z-1,3-pentadiene acted as solvents in this multicomponent C5 fraction polymerization system. The data of kinetic experiments, NMR, and DSC indicated that the polymerization of C5 fraction by Nd(P204)3/AliBu3/AlEt2Cl afforded the IP-EPD random copolymers. By controlling polymerization conditions such as [Al]/[Nd]/[Cl] molar ratio and polymerization temperature, the random EPD-IP copolymers containing high cis-1,4-poly(IP)(with selectivity 96%) and moderate cis-1,4-poly(EPD)(with selectivity 60%) units with a low glass transition temperature (about 60 ℃), controllable molecular weight (Mn = 3.8 × 10^4-14.3 × 104), and moderate molecular weight distribution (Mw/Mn = 2.17-2.78) were obtained in a high yield.

关键词： C5 fraction Neodymium Isoprene 1,3-Pentadiene Copolymerization

Additive Maps Preserving Nilpotent Operators or Spectral Radius

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Acta Mathematica Sinica,English Series 2005年第5期21卷 1167-1182页

作者： Zhao Fang BAI jin Chuan hou School of Science Xi'an Jiaotong University Xi'an 710049 P. R. China Department of Mathematics Shanxi Teachers University Linfen 041004 P. R. China

Let X be a （real or complex） Banach space with dimension greater than 2 and let B0（X） be the subspace of B（X） spanned by all nilpotent operators on X. We get a complete classification of surjective additive maps Ф on B0（X） which preserve nilpotent operators in both directions. In particular, if X is infinite-dimensional, we prove that Ф has the form either Ф（T） = cATA^-1 or Ф（T） = cAT＇A^-1, where A is an invertible bounded linear or conjugate linear operator, c is a scalar, T＇ denotes the adjoint of T. As an application of these results, we show that every additive surjective map on B（X） preserving spectral radius has a similar form to the above with ｜c｜ = 1.

关键词： Additive preservers Nilpotent operators Spectral radius