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Machine Learning-Assisted Fabrication of PCBM-Perovskite Solar Cells with Nanopatterned TiO_(2)Layer

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Energy & Environmental Materials 2024年第4期7卷 223-230页

作者： Siti Norhasanah Sanimu Hwa-Young Yang Jeevan Kandel Ye-Chong Moon Gangasagar Sharma Gaudel seung-ju yu Yong ju Kim Sejung Kim Bong-Hyun jun Won-Yeop Rho Graduate School of Integrated Energy-AI Jeonbuk National University567 Baekje-daeroDeokjin-guJeonju-siJeollabuk-do 54896Korea School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology(UNIST)50 UNIST-gilEonyang-eupUlju-gunUlsan 44919Korea Department of Herbal Medicine Resources College of Environmental and Bioresource SciencesJeonbuk National UniversityIksan 54596Korea School of Chemical Engineering Jeonbuk National University567 BaekjedaeroDeokjin-guJeonju-siJeollabuk-do 54896Korea Department of Bioscience and Biotechnology Konkuk University120 Neungdong-roGwangjin-guSeoul 05029Korea School of International Engineering and Science Jeonbuk National University567 Baekje-daeroDeokjin-guJeonju-siJeollabuk-do 54896Korea

To unlock the full potential of PSCs,machine learning(ML)was implemented in this research to predict the optimal combination of mesoporous-titanium dioxide(mp-TiO_(2))and weight percentage(wt%)of phenyl-C_(61)-butyric acid methyl ester(PCBM),along with the current density(J_(sc)),open-circuit voltage(V_(oc)),fill factor(ff),and energy conversion efficiency(ECE).Then,the combination that yielded the highest predicted ECE was selected as a reference to fabricate PCBM-PSCs with nanopatterned TiO_(2)***,the PCBM-PSCs with nanopatterned TiO_(2)layers were fabricated and characterized to further understand the effects of nanopatterning depth and wt%of PCBM on ***,the highest ECE of 17.338%is achieved at 127 nm nanopatterning depth and 0.10 wt%of PCBM,where the J_(sc),V_(oc),and ff are 22.877 mA cm^(-2),0.963 V,and 0.787,*** measured J_(sc),V_(oc),ff,and ECE values show consistencies with the ML ***,these findings not only revealed the potential of ML to be used as a preliminary investigation to navigate the research of PSCs but also highlighted that nanopatterning depth has a significant impact on J_(sc),and the incorporation of PCBM on perovskite layer influenced the V_(oc)and ff,which further boosted the performance of PSCs.

关键词： machine learning nanopatterning PCBM perovskite solar cells prediction

Catalytic Performance of Carbon Smoke over Ag-LSCF Composite Catalysts

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 30-34页

作者： GUO Guanlun HAN Ming LU Shaomin yu Jing ju Hongling 无 Hubei Key Laboratory of Advanced Technology for Automotive Components&Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of TechnologyWuhan 430070China College of Mechanical and Transportation Southwest Forestry UniversityKunming 650000China

To improve the catalytic performance of La_(0.6)Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3)(LSCF)towards carbon soot,we utilized the impregnation method to incorporate Ag into the prepared LSCF *** conducted a series of characterization tests and evaluated the soot catalytic activity of the composite catalyst by comparing it with the LaCoO_(3) group,LaFeO_(3) group,and catalyst-free *** results indicate that the Ag-LSCF composite catalyst exhibits the highest soot catalytic activity,with the characteristic temperature values of 376.3,431.1,and 473.9℃at 10%,50%,and 90%carbon soot conversion,*** values are 24.8,20.2,and 23.1℃lower than those of the LSCF *** also shows that LSCF can improve the catalytic activity of soot after compounding with Ag,and reflects the necessity of using catalysts in soot combustion *** characterization and BET test show that Ag-LSCF has more abundant surface-adsorbed oxygen species,larger specific surface area and pore volume than LSCF,which also proves that Ag-LSCF has higher soot catalytic activity.

关键词： metallic composites carbon smoke oxidation perovskite catalyst soot

Robust facial expression recognition via lightweight reinforcement learning for rehabilitation robotics

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Optoelectronics Letters 2025年第2期21卷 97-104页

作者： CHEN Yifan FAN Weiming GAO Hongwei yu Jiahui ju Zhaojie School of Computing University of Portsmouth School of Automation and Electrical Engineering Shenyang Ligong University Department of Biomedical Engineering Zhejiang University

This paper proposes a lightweight reinforcement network (LRN) and auxiliary label distribution learning (ALDL)based robust facial expression recognition (FER) *** designed representation reinforcement (RR) network mainly comprises two modules,i.e.,the RR module and the auxiliary label space construction (ALSC) *** RR module highlights key feature messaging nodes in feature maps,and ALSC allows multiple labels with different intensities to be linked to one ***,LRN has a more robust feature extraction capability when model parameters are greatly reduced,and ALDL is proposed to contribute to the training effect of LRN in the condition of ambiguous training *** tested our method on FER-Plus and RAF-DB datasets,and the experiment demonstrates the feasibility of our method in practice during rehabilitation robots.

关键词： Reinforcement learning

De novo synthesis of atropisomeric benzofurans via Cu/SPDO complex catalyzed asymmetric formal [3 + 2] annulation

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Science China Chemistry 2025年第1期68卷 174-180页

作者： Fan-Xiao Meng Xing-yu Wang Ka Lu ju-Song Yang Fu-Min Zhang Ai-jun Ma Bao Du Yong-Qiang Tu State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical Engineering Lanzhou University School of Chemistry and Chemical Engineering Shanghai Jiao Tong University School of Biotechnology and Health Sciences Wuyi University

Herein, the de novo synthesis of atropisomeric benzofurans through the Cu/spirocyclic-pyrrolidine-oxazoline(SPDO) complex catalyze asymmetric formal [3 + 2] cycloaddition between quinones and ynamides is explored, producing a range of structurally diverse axially chiral benzofurans in satisfactory yields with good to excellent enantioselectivities. Furthermore, density functional theory calculations were applied to explain the possible reaction mechanism.

关键词： benzofuran atropisomers novel de novo synthetic strategy asymmetric formal [3 + 2] cycladdition Cu/SPDO complex DFT calculations

Systematic Acupuncture Explains Acupuncture at Baihui(GV20) and Fengchi(GB20) Targeting the Inflammatory Response to Regulate Migraine

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Journal of Traditional Chinese Medicine 2025年

作者： MIN yu ZHENG Meifeng SUN ju PENG Zetong CAO Zhixian HUANG Xiaohua Medical College of Acu-Moxi and Rehabilitation， Guangzhou University of Chinese Medicine Department of Rehabilitation Medicine， the Affiliated Panyu Central Hospital of Guangzhou Medical University

Objective: To take Baihui (GV20) and Fengchi (GB20) targeting inflammatory response to regulate migraine as an example to describe a new method for studying the mechanism of stimulating ***: The target information of Baihui (GV20) and Fengchi (GB20) was retrieved， and after intersection with migraine， Kyoto Encyclopedia of Genes and Genomes (KEGG)， Reactome， and UniProt Keywords were used for functional enrichment. After selecting the main pathway， rats were selected and nitroglycerin was used for modeling， and the behavioral scores， inflammatory factors， heme oxygenase 1 (HMOX1)， protein kinase B (AKT1)， signal transducer and activator of transcription 3 (STAT3)， phosphorylated extracellular signal-regulated kinase 1/2 (P-ERK1/ERK2) and other states of the rats in the acupuncture， twisting， and electroacupuncture groups were ***: A total of 135 Baihui (GV20) targets and 27 Fengchi (GB20) targets were collected. A total of 73 target information were obtained after the intersection of these targets in migraine. These 73 targets have three main pathways: hypoxia-inducible factor 1 (HIF-1) signaling pathway， signaling by interleukins and inflammatory response. The main targets in the pathway were verified and found that interleukin-1 beta (IL-1β)， interleukin-6 (IL-6)， tumor necrosis factor-alpha (TNF-α) and HMOX1， AKT1， STAT3， P-ERK1/ERK2 can be regulated by Baihui (GV20) and Fengchi (GB20).Conclusion: Baihui (GV20) and Fengchi (GB20) can regulate migraine by regulating inflammatory factors and HMOX1， AKT1， STAT3， P-ERK1/ERK2 and other changes in HIF-1 signaling pathway， Signaling by Interleukins and Inflammatory response pathways. Based on systems biology and network pharmacology， and with the model of "acupoint-target-disease"， explore the research methods of systematic acupuncture and moxibustion. We believe this is a usable research direction for exploring the mechanism of acupuncture stimulation.

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Spindle-like FeySs/N-doped carbon nanohybrids for high-performance sodium ion battery anodes

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Nano Research 2019年第3期12卷 695-700页

作者： Aihua Jin Mi-ju Kim Kug-seung Lee seung-Ho yu yung-Eun Sung Center for Nanoparticle Research Institute for Basic Science (IBS) Seoul 08826 Republic of Korea School cf Chemical and Biological Engineering Seoul National University Seoul 08826 Republic cf Korea Beamline Department Pohang Accelerator Laboratory (PAL) Pohang 790-784 Republic of Korea Department of Chemistry and Chemical Biology Cornell University Ithaca New York 14853 USA

Iron sulfides have bee n con sidered as one of the most promising can didates for sodium ion battery anode materials due to their high theoretical capacity and low cost. I n this work, spin dle-like Fe7S8 with n itroge rvdoped carb on (FeiS/N-C) nano hybrids are successfully syn thesized via a solvothermal method by sulfidation iron-based metal organic framework (FeMOF). As sodium ion battery an odes, FeySs/N-C nano hybrids exhibit high reversible capacity of 450.8 mAh g-1 at 200 mA·g^-1, and 406.7 mAh·g^-1 at 500 mA·g^-1 even after 500 cycles. They also show excellent rate properties and delivering the capacity of 327.8 mAh·g^-1 at a very high current density of 3.2 A·g^-1. These outstanding electrochemical performa nces can be attributed to the unique structure of Fe7S8/ N-C nan ohybrids. The nano scale dime nsion in their size can be ben eficial for facile ion and electro n tran sports. Furthermore, the stable n itroge n doped carb on frameworks can also improve electrical conductivity and relieve the problems related to volume expansion. X-ray absorption spectroscopy and X-ray photoelectron spectroscopy analyses have been performed to study reactions occurred in spindle-like FeySs/N-C nanohybrid electrode at both bulk and surface.

关键词： sodium ion batteries iron sulfides metal organic frameworks X-ray absorption spectroscopy X-ray photoelectron spectroscopy

DOMAIN DECOMPOSITION WITH NONMATCHING GRIDS FOR EXTERIOR TRANSMISSION PROBLEMS VIA FEM AND DTN MAPPING

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Journal of Computational Mathematics 2006年第3期24卷 323-342页

作者： ju-e Yang De-hao yu LSEC ICMSEC Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100080 China

In this paper, we are concerned with a non-overlapping domain decomposition method （DDM） for exterior transmission problems in the plane. Based on the natural boundary integral operator, we combine the DDM with a Dirichlet-to-Neumann （DtN） mapping and provide the numerical analysis with nonmatching grids. The weak continuity of the approximation solutions on the interface is imposed by a dual basis multiplier. We show that this multiplier space can generate optimal error estimate and obtain the corresponding rate of convergence. Finally, several numerical examples confirm the theoretical results.

关键词： Domain decomposition Nature boundary element Nonmatching grids Weakcontinuity D-N alternating Dual basis Projection operator Error estimate.

CONVEX CONTROLLER DESIGN APPLIED TO AC INDUCTION MOTOR TO SATISFY MULTIPLE SIMULTANEOUS SPECIFICATIONS

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Chinese Journal of Mechanical Engineering 2006年第4期19卷 475-479页

作者： LEE seung-ju SUN Dong MILLS James K Department of Mechanical and Industrial Engineering University of Toronto Toronto MSS 3G8 Canada Department of Manufacturing Engineering and Engineering Management City University of Hong Kong Hong Kong SAR China

The application of a closed-loop specification oriented feedback control design method, which addresses the design of controllers to satisfy multiple simultaneous conflicting closed-loop performance specifications is presented. The proposed approach is well suited to the design of controllers which must meet a set of conflicting performance specifications. Gain tuning is central to the design process, however, the tuning process is greatly simplified over that presented by the problem of tuning a PID controller for example. The proposed control method is applied to an AC induction motor, with an inner-loop flux vector controller applied to design a position control system. Experimental results verify the effectiveness of this method.

关键词： Convex controller design Multiple simultaneous specifications AC induction motor Nonlinear control

Numerical evaluation of buckling behavior in space structure considering geometrical parameters with joint rigidity

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Journal of Central South University 2014年第3期21卷 1115-1124页

作者： Su-Deok Shon Kyung-ju Hwang seung-Jae Lee School of Architectural Engineering Korea University of Technology and Education School of Architecture University of Seoul

The buckling behavior of single layer space structure is very sensitive. The joint rigidity, moreover, is one of the main factors of stability which may determine the entire failure behavior. Thus, the reasonable stiffness of joint system, which is neither total pin assumption nor perfect fix condition, is very important to apply to the real single layer space one. Therefore, the purpose of this work was to investigate the buckling behavior of single layer space structure, using the development of the upgraded stiffness matrix for the joint rigidity. To derive tangential stiffness matrix, a displacement function was assumed using translational and rotational displacement at the node. The geometrical nonlinear analysis was simulated not only with perfect model but also with imperfect one. As a result, the one and two free nodal numerical models were investigated using derived stiffness matrix. It was figured out that the buckling load increases in proportion to joint rigidity with rise-span ratio. The stability of numerical model is very sensitive with the initial imperfection, responding of bifurcation in the structure.

关键词： space frame geometric nonlinearity snap-through bifurcation initial imperfection joint rigidity