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IEEE/CHMT(CPMT) International Electronics Manufacturing Technology Symposium

作者： Chun Yuan Lim Meng Kong Heng Mee Sing Tiong Kwang Jun Lee Product Engineering Amkor Technology Inc Selangor Malaysia Engineering Research & Development Amkor Technology Inc Selangor Malaysia Process Engineering Amkor Technology Inc Incheon Korea

ISBN: (数字)9798350388824

ISBN: (纸本)9798350388831

Delamination poses a significant challenge in semiconductor industry, particularly in electric vehicle (EV) components, impacting their performance and reliability. It occurs when the adhesion between the encapsulation material and the leadframe fails, often due to thermal stress. Roughened leadframes have been adopted to enhance their interlocking among them. However, this approach inadvertently introduces surface contamination during flux cleaning, which can compromise wire bonding quality. The presence of such contamination underscores the need for more sophisticated cleaning methods. This study investigates a hybrid cleaning solution designed to reduce surface contamination on roughened leadframes. Conventional immersion-type cleaning has shown limitations in effectively addressing this issue. Therefore, a hybrid method combining immersion-type flux cleaning with subsequent spray-in-air cleaning process using deionized (DI) water is proposed. This dual approach leverages the advantages of both immersion and high-pressure DI water spray, improving cleaning efficiency and minimizing contamination. Extensive testing under various conditions has demonstrated a marked reduction in surface contamination compared to conventional methods, significantly lowering the risk of defects such as non-stick on lead (NSOL) or non-stick on pad (NSOP). The paper discusses the mechanism behind this hybrid cleaning approach, offering a pathway forward for optimizing flux cleaning on roughened leadframes and enhancing overall wire bonding reliability.

关键词： Surface contamination Lead Cleaning Surface roughness Water pollution Rough surfaces Reliability Wire Surface treatment Thermal stresses

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Machine Learning-Based Sobol Sensitivity Analysis for Building Energy Assessment without Monte Carlo Integral 18

Machine Learning-Based Sobol Sensitivity Analysis for Buildi...

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18th IBPSA Conference on Building Simulation, BS 2023

作者： Zhang, Hu Tian, Wei Sambatmaryde, Kheng Tan, Jingyuan Chen, Bo College of Mechanical Engineering Tianjin University of Science and Technology China Tianjin International Joint Research and Development Center of Low-Carbon Green Process Equipment Tianjin China College of Economics and Management Tianjin University of Science and Technology China

Sensitivity analysis would be very useful to prioritize energy-saving measures for both new and existing buildings. The variance-based Sobol sensitivity analysis can provide reliable sensitivity results at the expense of high computational costs. The BASS (Bayesian Adaptive Spline Surfaces) method is one of the efficient approaches to reduce computational time without Monte Carlo integrals. The performance of this new type of sensitivity analysis is much less studied in building energy assessment. An office building is used to demonstrate the performance of BASS sensitivity analysis by combining the EnergyPlus program. Results indicate that the BASS method can provide robust and reliable sensitivity results compared to the conventional sampling-based Sobol sensitivity analysis. Sufficient data is required to obtain stable results of the BASS sensitivity analysis and the variations of total effects using the bootstrap technique. © 2023 *** rights reserved.

关键词： Sensitivity analysis

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Synthesis of 2,3-Diaminoindoles via a Copper-Iodine Co-catalytic Strategy

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Chinese Journal of Chemistry 2023年第24期41卷 3567-3572页

作者： Wenhua Yu Yingying Zhang Xiaoxiang Zhang Xiaoting Gu Xirui Qing Wanxing Wei Zhuan Zhang Guanghua Li Taoyuan Liang School of Chemistry and Chemical Engineering Guangxi UniversityNanningGuangxi530004 China Guangxi Key Laboratory of Electrochemical Energy Materials NanningGuangxi530004 China Guangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource Development NanningGuangxi530004 China Guangxi Key Laboratory of Petrochemical Resource Processing & Process Intensification Technology NanningGuangxi530004 China

A one-pot synthesis of vicinal diamines using indoles,azoles and phenothiazines in a tandem multi-component reaction is *** utilization of a copper-iodine co-catalytic system enables the generation of a diverse range of vicinal diaminoindoles with good selectivity and moderate to good *** attractive aspect of this method is that it can be conducted under mild and environmentally friendly conditions,showcasing its potential as an alternative approach for synthesizing vicinal ***,the use of a multicomponent tandem reaction highlights the power and versatility of such strategies in synthetic chemistry.

关键词： Indoles Tandem dual C—H amination Vicinal diamines Copper-iodine co-catalysis Multi-component reaction

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Non-invasive estimation of the powder size distribution from a single speckle image

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Light(Science & Applications) 2024年第10期13卷 2221-2230页

作者： Qihang Zhang Ajinkya Pandit Zhiguang Liu Zhen Guo Shashank Muddu Yi Wei Deborah Pereg Neda Nazemifard Charles Papageorgiou Yihui Yang Wenlong Tang Richard D.Braatz Allan S.Myerson George Barbastathis Department of Electrical Engineering and Computer Science Massachusetts Institute of TechnologyCambridgeMA 02139USA Singapore-MIT Alliance for Research and Technology(SMART)Centre Singapore 117543Singapore Department of Chemical Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA Department of Mechanical Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA Process Chemistry Development Takeda Pharmaceuticals International Co40 Landsdowne StCambridgeMA 02139USA ShinrAI Center for AI/ML Data Sciences InstitutesTakeda Pharmaceuticals International Co650 E Kendall StCambridgeMA 02142USA Present address:Department of Precision Instruments Tsinghua UniversityBeijing 100084China

Non-invasive characterization of powders may take one of two approaches:imaging and counting individual particles;or relying on scattered light to estimate the particle size distribution(PSD)of the *** former approach runs into practical difficulties,as the system must conform to the working distance and other restrictions of the imaging *** latter approach requires an inverse map from the speckle autocorrelation to the particle *** principle relies on the pupil function determining the basic sidelobe shape,whereas the particle size spread modulates the sidelobe *** recently showed that it is feasible to invert the speckle autocorrelation and obtain the PSD using a neural network,trained efficiently through a physics-informed semi-generative *** this work,we eliminate one of the most time-consuming steps of our previous method by engineering the pupil *** judiciously blocking portions of the pupil,we sacrifice some photons but in return we achieve much enhanced sidelobes and,hence,higher sensitivity to the change of the size *** result is a 60×reduction in total acquisition and processing time,or 0.25 seconds per frame in our *** real-time operation in our system is not only more appealing toward rapid industrial adoption,it also paves the way for quantitative characterization of complex spatial or temporal dynamics in drying,blending,and other chemical and pharmaceutical manufacturing processes.

关键词： speckle size distribution

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Microcrack Detection and Localization in Laminated Packaging Structures Using Superlets and Lamb Wave Static Components 26

Microcrack Detection and Localization in Laminated Packaging...

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26th Electronics Packaging Technology Conference, EPTC 2024

作者： Long, Xu Li, Yaxi Wang, Jishuo Zhao, Liang Yuan, Weifeng Gu, Tang Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen518063 China School of Mechanics Civil Engineering and Architecture Northwestern Polytechnical University Xi’an710072 China Key Laboratory of Testing Technology for Manufacturing Process Ministry of Education School of ManufacturingScience and Engineering Southwest University of Science and Technology Mianyang621010 China Ivry-Sur-Seine94200 France

ISBN: (纸本)9798331522001

In electronic packaging, early microcrack detection is crucial for maintaining the long-term reliability of devices. This study specifically addresses the detection of microcracks in laminated die-attachment regions, considering the impact of crack orientation on detection efficacy. This study introduces a two-step approach for detecting and localizing microcracks in thin laminated packaging structures. The first step involves the application of Superlets technology to transform time-frequency data into high-resolution images that reveal fault characteristics. The second step utilizes the static component of Lamb waves for accurate crack localization. A theoretical model is developed to analyze the interaction between microcracks and Lamb waves, shedding light on the critical role of the static component in localization. Finite element simulations, combined with advanced signal processing techniques, validate the effectiveness of this approach. Additionally, ultrasonic experiments on typical packaging structures, confirm the practical applicability of Superlets for detecting damage in practice. The integration of Superlets technology with Lamb wave analysis, as demonstrated through our finite element model, not only shows significant potential for improving microcrack detection and localization but also serves as a case study for the application of this technology in practical scenarios. © 2024 IEEE.

关键词： Gravity waves

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Mechanical and Electrical Properties of Some Sn-Zn Based Lead-Free Quinary Alloys

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Materials Sciences and Applications 2024年第7期15卷 213-227页

作者： Shihab Uddin Md. Abdul Gafur Suraya Sabrin Soshi Mohammad Obaidur Rahman Department of Physics Jahangirnagar University Savar Dhaka Bangladesh Pilot Plant and Process Development Centre Dhaka Bangladesh Department of Mechanical Engineering Ahsanullah University of Science and Technology Tejgaon Dhaka Bangladesh

Although there are many lead-free soldering alloys on the market, none of them have ideal qualities. The researchers are combining binary alloys with a variety of additional materials to create the soldering alloys’ features. The eutectic Sn-9Zn alloy is among them. This paper investigated the mechanical and electrical properties of Sn-9Zn-x (Ag, Cu, Sb);{x = 0.2, 0.4, and 0.6} lead-free solder alloys. The mechanical properties such as elastic modulus, ultimate tensile strength (UTS), yield strength (YS), and ductility were examined at the strain rates in a range from 4.17 10−3 s−1 to 208.5 10−3 s−1 at room temperature. It is found that increasing the content of the alloying elements and strain rate increases the elastic modulus, ultimate tensile strength, and yield strength while the ductility decreases. The electrical conductivity of the alloys is found to be a little smaller than that of the Sn-9Zn eutectic alloy.

关键词： Lead-Free Solder Strain Rate Ultimate Tensile Strength Ductility Electrical Conductivity

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Advanced nonlinear rheology magnetorheological finishing:A review

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中国航空学报（英文版） 2024年第4期37卷 54-92页

作者： Feng ZHAO Zhenyu ZHANG Jianjun YANG Jiaxin YU Junyuan FENG Hongxiu ZHOU Chunjing SHI Fanning MENG State Key Laboratory of High-performance Precision Manufacturing Dalian University of TechnologyDalian 116024China Facility Design and Instrumentation Institute China Aerodynamics Research and Development CenterMianyang 621000China Key Laboratory of Testing Technology for Manufacturing Process Ministry of EducationSouthwest University of Science and TechnologyMianyang 621010China School of Energy and Power Engineering Dalian University of TechnologyDalian 116024China School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhou 310018China

High-performance devices usually have curved surfaces,requiring high accuracy of shape and low surface *** is a challenge to achieve high accuracies for form and position on a device with low surface ***,due to the unique nonlinear rheology,magnetorheo-logical fluids with hard abrasives are widely applied in ultra-precision surface *** with conventional mechanical finishing,magnetorheological finishing displays obviously advan-tages,such as high precision shape of machined surface,low surface roughness and subsurface dam-age,and easy control for finishing ***,finishing performance depends on various factors,*** fraction and distribution of magnetic particles,types of hard abrasives and additives,strength of magnetic field,finishing ***,a comprehensive review on related works is essential to understand the state-of-the-art of magnetorheological finishing and beneficial to inspire researchers to develop lower cost,higher machining accuracy and efficient approaches and setups,which demonstrates a significant guidance for development of high-performance parts in fields of aerospace,navigation and clinical medicine *** review starts from the rheological property of magnetorheological fluids,summarizing dynamically nonlinear rheological properties and stable finishing ***,the effect of components in magnetorheological fluids is dis-cussed on finishing performance,consisting of magnetic particles,carrier fluid,additives and *** configuration of magnetorheological fluids,and different magnetorheological finishing methods are presented for variously curved *** addition,the current finishing forms and future directions are also addressed in this review.

关键词： Finishing approaches Finishing performance Magnetorheological finishing Magnetorheological fluids Rheological property

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Efficient removal of tetracycline and norfloxacin contaminants in wastewater onto N-dopped Cu/Al@Biochar as low-cost sorbent: kinetic and adsorption mechanism investigation

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Environmental Science and Pollution Research 2025年 1-20页

作者： Tchuifon Tchuifon, Donald Raoul Fotsop, Cyrille Ghislain Kenda, Georges Teikam Feudjio, Frank Dorinel Solefack Mafo, Sandrale Grace Mokue Dongmo, Dave Sanchez Mouafo Anagho, Solomon Gabche Hosseini-Bandegharaei, Ahmad Laboratory of Chemical Engineering and Industrial Bio-Processes Department of Process Engineering National Higher Polytechnic School of Douala University of Douala PO Box 2701 Douala Cameroon Faculty of Process and Systems Engineering Institute of Chemistry Universität Platz 2 Magdeburg39106 Germany Research Unit of Noxious Chemistry and Environmental Engineering Department of Chemistry Faculty of Science University of Dschang PO Box 67 Dschang Cameroon Laboratory of Applied Physical and Analytical Chemistry Department of Inorganic Chemistry Faculty of Science University of Yaoundé1 PO Box 812 Yaoundé Cameroon Faculty of Chemistry Semnan University Semnan Iran Department of Sustainable Engineering Saveetha School of Engineering SIMATS Tamil Nadu Chennai602105 India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India University Centre for Research & Development Chandigarh University Punjab Mohali140413 India

In the present study, an adsorbent material (N-dopped Cu/Al@Biochar) was synthesized by integrating N, Cu, and Al atoms into the structure of a biochar. This material was characterized by several physicochemical methods, then applied to the elimination of tetracycline (TC) and norfloxacin (NC). The results obtained showed that the modification method used, although significantly altering the mesoporous structure of the original biochar, generates several functional groups on the surface of the material, giving it excellent adsorption properties. These properties were evaluated by studying the influence of various experimental parameters such as the pH of the solution, the mass of doped biochar, and the contact time on the amount of antibiotic adsorbed. Adsorption studies revealed maximum amounts of TC and NC adsorbed of 65 and 96 mg/g at pH = 8 and 6 respectively with 50 mg of adsorbent for an equilibrium time of 90 min for TC and 60 min for NC at a concentration of 15 mg/L for both antibiotics. This adsorption capacity led to the removal percentages of up to 90 and 82% for TC and NC, respectively. After five cycles of use, a decrease in adsorption efficiency of 9% for TC and 11% for NC was observed, demonstrating the impressive stability of the synthesized material. Kinetic studies revealed that the Elovich and pseudo nth order models are the most appropriate to describe the adsorption kinetics of TC and NC respectively. In addition, the two- and three-parameter isotherm models used in this study revealed multilayer adsorption processes, based on both π-π, n-π, van der Waals bond formation and hydrogen bonds. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Semiconductor doping

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DMPNN-Bert: a deep learning architecture for molecular property prediction 23

DMPNN-Bert: a deep learning architecture for molecular prope...

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3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023

作者： Fan, Mengmeng Liu, Qing Cui, Zeyu Wang, Hao Chen, Mingkai He, Dakuo Hou, Yue School of Information Science and Engineering Northeastern University Shenyang China College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Key Laboratory of Bioresource Research and Development of Liaoning Province College of Life and Health Sciences Northeastern University Shenyang China

ISBN: (纸本)9798400707605

Abstract: Molecular property prediction is a fundamental research problem in the fields of drug discovery, chemical synthesis prediction. To establish a universal molecular property prediction model, this study proposed six molecular properties prediction models. For capture molecular features, this study combines the representational ability of molecular graphs and the advantage of attention mechanism. Based on three different molecular graph representation of MPNN, DMPNN, dyMPN, to combine two different kinds of deep learning algorithm with the attention mechanism of Transformer and Bert. The results were compared with MPNN and DMPNN. The evaluation indexes of ROC-AUC, RMSE and MAE are applied in this paper. Ten benchmark datasets were used to test the performance of eight models. The results based on the proposed DMPNN combine Bert (DMPNN-Bert) achieves in seven of ten benchmark datasets, which illustrate that the prediction performance of the proposed model. © 2023 ACM.

关键词： Learning algorithms

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Thickness Dependence of Ferroelectricity for Thin (Al0.9Sc0.1)N-based FeRAM

Thickness Dependence of Ferroelectricity for Thin (Al0.9Sc0....

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International Meeting for Future of Electron Devices

作者： Soshun Doko Naoko Matsui Toshikazu Irisawa Koji Tsunekawa Nana Sun Yoshiko Nakamura Kazuki Okamoto Hiroshi Funakubo Process Development Division Canon ANELVA Corporation Kawasaki Kanagawa Japan Department of Materials Science and Engineering Tokyo Institute of Technology Yokohama Kanagawa Japan

ISBN: (数字)9798331506711

ISBN: (纸本)9798331506728

The thickness dependences of the crystallinity and ferroelectricity for (Al 0.9 Sc 0.1 )N films were investigated. The (001) out-of-plane orientation and ferroelectricity of (Al 0.9 Sc 0.1 )N film depend on the thickness of (Al 0.9 Sc 0.1 )N film and Pt bottom electrode. 30-nm-thick (Al 0.9 Sc 0.1 )N films deposited on 5-nm-thick Pt bottom electrodes maintain the (001) orientation and saturated high remanent polarization (P r ) (> 100 μC/cm 2 ). We succeeded in reducing the total thickness of the Pt bottom electrode and (Al 0.9 Sc 0.1 )N film to 35 nm.

关键词： Electrodes Nonvolatile memory Ferroelectric films Films Random access memory Logic Electron devices

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