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Conference on Electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： Jierui Zhou Marina Dabaghian Anna Marie LaChance Jing Hao Wesley Zhong Luyi Sun Yang Cao Department of Electrical and Computer Engineering University of Connecticut Storrs CT USA Electrical Insulation Research Center Institute of Materials Science University of Connecticut Storrs CT USA Department of Chemical and Biomolecular Engineering University of Connecticut Storrs CT USA Polymer Program Institute of Materials Science University of Connecticut Storrs CT USA

Polymer-thin films are critical dielectric materials for capacitive energy storage in power and electronic systems. The rapid development of wide bandgap semiconductors urgently calls for polymers that can attain high energy density and high charge-discharge efficiency at elevated temperatures. However, high-temperature polymers usually suffer from compromised dielectric breakdown strength and soaring conduction loss due to the intrinsic constraint between their bandgaps and thermal stability. In this work, we propose a facile and high throughput interface engineering technique utilizing nanocoatings formed by montmorillonite (MMT) nanoclays, which can serve as an out-of-the-box solution to bypass this constraint. The highly ordered MMT-based nanocoatings with layered structure can significantly block the excessive charge injection at high electric fields and dissipate the charge carriers along the in-plane direction. The MMT-coated PI films exhibit improved breakdown strength, suppressed conduction loss, and boosted charging-discharging efficiency. This work holds the promise of improving the dielectric properties of polymers through surface engineering, enabling their application at concurrent electrical and thermal extremes.

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Inhibition of Gas-Evolved Electrolyte Decomposition in Cylindrical Li-Ion Battery Cells of Ni-Rich Layered Oxide with a Dry Coating Process Without Thermal Annealing

SSRN

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SSRN 2022年

作者： Srimanon, Krisara Vadivel, Selvamani Sawangphruk, Montree Centre of Excellence for Energy Storage Technology Department of Chemical and Biomolecular Engineering School of Energy Science and Engineering Vidyasirimedhi Institute of Science and Technology Rayong21210 Thailand

Although Ni-rich layered oxide materials widely used as the cathode of lithium-ion batteries (LIBs) possess several interesting properties e.g., high energy density, they encounter severe capacity degradation and intrinsic poor thermal stability concerning the Ni-concentration. Herein, a core-shell-like architecture has been achieved by employing the cost-effective dry particle fusion method without a costly thermal annealing process with alumina (Al2O3) nanoparticles over LiNi0.8Mn0.1Co0.1O2 and resulting in an intact layer with an average shell thickness of 150-200 nm. Such NMC811@ Al2O3 core-shell exhibits excellent cycling stability compared with pristine NMC811. The chemical lithium diffusion coefficient, as calculated from a galvanostatic intermittent titration technique (GITT) infers that the introduction of Al2O3 coating slightly reduces the lithium diffusivity;however, it limits the active material dissolution, as perceived from post-ICP-OES analysis of the counter electrode. Besides, such modified systems exhibit a significant delay in onset potential related to surface layer decomposition and lattice oxygen releasing. Therefore, the present investigation concludes that the Al2O3 shell in the NMC811@ Al2O3 not only offers superior electrochemical performance but also exhibits good thermal stability. It could achieve thru a cost-effective and scalable dry-fusion method. © 2022, The Authors. All rights reserved.

关键词： Cathodes

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Microbial corrosion of 316L stainless steel stents by gut Lactobacillus plantarum via extracellular electron transfer

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Journal of Materials science & Technology 2026年 243卷 283-293页

作者： Xiao-Meng Liu Zheng-Xing Wang Lian-Zhong Ai Yong-Qiang Fan Guang-Qiang Wang Ting-Yue Gu Fu-Hui Wang Da-Ke Xu Zhuang Li College of Life and Health Sciences Northeastern University Shenyang 110819 China Corrosion and Protection Center Northeastern University Shenyang 110819 China Shanghai Engineering Research Center of Food Microbiology School of Health Science and Engineering University of Shanghai for Science and Technology Shanghai 200093 China Department of Chemical and Biomolecular Engineering Edison Biotechnology Institute Ohio University Athens OH 45701 USA Department of Anorectal Surgery The First Hospital of China Medical University Shenyang 110001 China

316L stainless steel (SS) is extensively utilized in medical devices, including internal stents, due to its superior mechanical properties. With the increasing prevalence of implanted metal devices, microbiologically influenced corrosion (MIC) has become a serious issue, potentially threatening patient health by increasing the risk of exposure to harmful metal ions in the body. However, the MIC behavior and mechanisms of 316L SS within the intestinal environment are not well understood. This study presents the first evidence that the intestinal electroactive bacterium Lactobacillus plantarum is involved in the MIC of 316L SS. By combining genetic, electrochemical, and materials characterization approaches, we demonstrated that the MIC of 316L SS by L. plantarum was mediated through an extracellular electron transfer (EET) mechanism. The deletion of key EET pathway genes pplA and eetB , significantly attenuated the corrosion by L. plantarum . Materials characterizations further confirmed that L. plantarum disrupts the passive film on the surface of 316L SS via the EET pathway. This study aids the understanding of intestinal MIC mechanisms and the development of novel medical device materials resistant to microbial corrosion.

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Classic Fluorophores With a Horizontal Alignment for Enhancing Light Outcoupling Efficiency (≈30%) and External Quantum Efficiency (≈7%) of Near Ultraviolet (λmax < 400 nm) Organic Light-Emitting Diodes

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Advanced Optical Materials 2023年第8期11卷 p1-13页

作者： Lee, Jian Haur Huang, Jing-Xiang Chen, Chia-Hsun Lee, Yi-Ting Chan, Chin-Yiu Dzeng, Yi-Chung Tang, Po-Wen Chen, Chi Adachi, Chihaya Chiu, Tien-Lung Lee, Jiun-Haw Chen, Chin-Ti Sustainable Chemical Science and Technology Taiwan International Graduate Program and Institute of Chemistry Academia Sinica Taipei11529 Taiwan Department of Applied Chemistry National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Electrical Engineering Graduate Institute of Photonics and Optoelectronics National Taiwan University Taipei10617 Taiwan Kyushu University Fukuoka819-0395 Japan Research Center for Applied Sciences Academia Sinica Taipei11529 Taiwan Department of Electrical Engineering Yuan Ze University Taoyuan32003 Taiwan

Based on the classic 1,1′:4′,1″-terphenyl fluorophore, a novel near-ultraviolet (NUV) fluorescent BB4Ph (4,4″′-bis(2,3,4,5-tetraphenylphen-1-yl)(1,1′:4′,1″-terphenyl) is designed, synthesized, and characterized. BB4Ph exhibits a NUV fluorescence with a λmax of 373 and 380 nm in solution and as a thin film, respectively. The grazing incidence wide-angle X-ray scattering (GIWAXS) reveals BB4Ph having a high value of order parameter (SGIWAXS) of 0.59 for a molecular layer array normal to the substrate;the angle-dependent photoluminescence (ADPL) measurement shows Θ (horizontal–dipole ratios) as high as 95% with the neat film. The non-doped BB4Ph organic light-emitting diodes (OLEDs) show external quantum efficiency (EQE) up to 5.24% with 1931 Commission Internationale de l’ Eclairage coordinates (CIEx,y) of (0.16, 0.04), a NUV electroluminescence. With 4P-Cz (9,9′-(1,1′:4′,1″:4″,1′″-quaterphenyl-4,4′″-diyl)dicarbazole) as a dopant emitter, doped BB4Ph OLEDs show the highest EQE of 6.99% and a NUV 1931 CIEx,y (0.16, 0.04). The photoluminescence quantum yield is measured for the thin film of BB4Ph and 4P-Cz:BB4Ph as 68% and 96%, respectively. Hence, the low limits of light outcoupling efficiency (ηout) of the two individual OLEDs are estimated as 31% and 29%, respectively. © 2023 Wiley-VCH GmbH.

关键词： Thin films

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DROPLET DIGITAL IMMUNO-PCR FOR PROFILING PROTEIN-SPECIFIC EXTRACELLULAR VESICLES 26

DROPLET DIGITAL IMMUNO-PCR FOR PROFILING PROTEIN-SPECIFIC EX...

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26th International Conference on Miniaturized Systems for Chemistry and Life sciences, MicroTAS 2022

作者： Lix, Chxnchen Lin, Hxixian Yao, Shxhxai Department of Laboratory Medicine Nanfang Hospital Southern Medical University Guangzhou China Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Bioengineering Graduate Program Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781733419048

We construct a versatile droplet digital immuno-PCR ddiPCR assay which integrates immuno-PCR and droplet digital PCR ddPCR for quantifying protein-specific extracellular vesicle EV subpopulations at the single-vesicle level. We applied the ddiPCR assays for profiling the EV proteins of CD/CD63/CD81, HER2, EpCAM in a breast cancer cohort. The results demonstrated that the counting of multi-subpopulation EVs could significantly distinguish patients with breast tumor at different stages or hepatocellular carcinoma from healthy controls. This study provides a promising strategy to count multi-subpopulation EVs at the single-vesicle level for cancer diagnosis. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life sciences. All rights reserved.

关键词： Drops

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Special Issue on Artificial Intelligence for Synthetic Biology

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ACS SYNTHETIC BIOLOGY 2024年第2期13卷 408-410页

作者： Martin, Hector Garcia Mazurenko, Stanislav Zhao, Huimin Biological Systems and Engineering Division Lawrence Berkeley National Laboratory Berkeley California 94720 United States BCAM − Basque Center for Applied Mathematics Bilbao 48009 Spain DOE Agile BioFoundry Emeryville California 94608 United States DOE Joint BioEnergy Institute Emeryville California 94608 United States Loschmidt Laboratories Department of Experimental Biology and RECETOX Faculty of Science Masaryk University Kamenice 5 625 00 Brno Czech Republic International Clinical Research Center St. Anne’s University Hospital Brno Pekarska 53 656 91 Brno Czech Republic Department of Chemical and Biomolecular Engineering University of Illinois at Urbana−Champaign Urbana Illinois 61801 United States

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Bibliometric Analysis of Trends and Directions in Machine Learning Applied to FinTech

Bibliometric Analysis of Trends and Directions in Machine Le...

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Electronic and Electrical engineering and Intelligent System (ICE3IS), International Conference on

作者： Erman Arif Suherman Suherman Aris Puji Widodo Doctoral Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia Department of Informatics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia

ISBN: (数字)9798350378368

ISBN: (纸本)9798350378375

Our article presents a comprehensive analysis of trends and directions in the application of machine learning in the FinTech sector. By utilizing data from academic databases such as Scopus, our objective is to showcase the advancements in this interdisciplinary research area. The study identifies key trends, influential authors, leading journals, and significant collaborative networks that shape the field. The methodology employed involves quantitative bibliometric analysis to evaluate publications from the past five years. The results indicate a substantial increase in the number of studies during this period, highlighting the importance of machine learning in addressing critical financial challenges, including fraud detection, algorithmic trading, credit scoring, and risk management. Additionally, we delve into the main themes, countries, and institutions that dominate the current research agenda. This analysis provides valuable insights into the present state and future direction of machine learning in FinTech, serving as a resource for researchers and practitioners seeking to comprehend and contribute to this dynamic and rapidly evolving field. We also discuss implications for future research, emphasizing the necessity for continuous innovation and interdisciplinary collaboration to maximize the potential of machine learning in transforming financial services.

关键词： Symbiosis Technological innovation Machine learning algorithms Bibliometrics Collaboration Machine learning Market research Dynamic scheduling Fraud Risk management

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Bioengineering of nano metal-organic frameworks for cancer immunotherapy

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Nano Research 2021年第5期14卷 1244-1259页

作者： Gaowei Chong Jie Zang Yi Han Runping Su Nopphon Weeranoppanant Haiqing Dong Yongyong Li Shanghai Tenth People’s Hospital The Institute for Biomedical Engineering&Nano ScienceTongji University School of MedicineShanghai200092China Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education Orthopaedic Department of Tongji HospitalTongji University School of Medicine389 Xincun RoadShanghai200065China Department of Chemical Engineering Burapha University169 Longhard BangsaenSaensookChonburi20131Thailand School of Biomolecular Science and Engineering(BSE) Vidyasirimedhi Institute of Science and Technology(VISTEC)555 Moo 1 PayupnaiWangchan21210Thailand

Immunotherapy techniques,such as immune checkpoint inhibitors,chimeric antigen receptor(CAR)T cell therapies and cancer vaccines,have been burgeoning with great success,particularly for specific cancer ***,side effects with fatal risks,dysfunction in tumor microenvironment and low immune response rates remain the bottlenecks in *** metal-organic frameworks(nMOFs),with an accurate structure and a narrow size distribution,are emerging as a solution to these *** addition to their function of temporospatial delivery,a large library of their compositions,together with flexibility in chemical interaction and inherent immune efficacy,offers opportunities for various designs of nMOFs for *** this review,we overview state-of-the-art research on nMOFs-based immunotherapies as well as their combination with other *** demonstrate that nMOFs are predominantly customized for vaccine delivery or tumor-microenvironment ***,a prospect of nMOFs in cancer immunotherapy will be discussed.

关键词： cancer immunotherapy nano metal-organic frameworks(nMOFs) bioengineering vaccine delivery tumor-microenvironment modulation

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Enhancing Data Efficiency and Feature Identification for Lithium-Ion Battery Lifespan Prediction by Deciphering Interpretation of Temporal Patterns and Cyclic Variability Using Attention-Based Models

arXiv

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arXiv 2023年

作者： Lee, Jaewook Heo, Seongmin Lee, Jay H. Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology 291 Daehak-ro Yuseong-gu Daejeon34141 Korea Republic of Mork Family Department of Chemical Engineering and Materials Science University of Southern California 3651 Watt Way Los AngelesCA90089 United States

Accurately predicting the lifespan of lithium-ion batteries is crucial for optimizing operational strategies and mitigating risks. While numerous studies have aimed at predicting battery lifespan, few have examined the interpretability of their models or how such insights could improve predictions. Addressing this gap, we introduce three innovative models that integrate shallow attention layers into a foundational model from our previous work, which combined elements of recurrent and convolutional neural networks. Utilizing a well-known public dataset, we showcase our methodology's effectiveness. Temporal attention is applied to identify critical timesteps and highlight differences among test cell batches, particularly underscoring the significance of the "rest" phase. Furthermore, by applying cyclic attention via self-attention to context vectors, our approach effectively identifies key cycles, enabling us to strategically decrease the input size for quicker predictions. Employing both single- and multi-head attention mechanisms, we have systematically minimized the required input from 100 to 50 and then to 30 cycles, refining this process based on cyclic attention scores. Our refined model exhibits strong regression capabilities, accurately forecasting the initiation of rapid capacity fade with an average deviation of only 58 cycles by analyzing just the initial 30 cycles of easily accessible input data. © 2023, CC BY-NC-ND.

关键词： Forecasting

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Identifying the Role of the TMA/H2O Atomic Layer Deposition Process on NMC811 Electrochemical Performance

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ACS Applied Energy Materials 2025年第12期8卷 8117-8129页

作者： Julie A. Nguyen Jasmine O. Gabor Gregory P. Rider Wyatt Blevins Davis R. Conklin Hailey C. Loehde-Woolard Wenhan Ou Gregory F. Pach Joel T. Kirner Tomoko Borsa Michael F. Toney Kent J. Warren Alan W. Weimer Department of Chemical and Biological Engineering University of Colorado Boulder Boulder Colorado 80309 United States；Analytical Division Forge Nano Thornton Colorado 80241 United States Analytical Division Forge Nano Thornton Colorado 80241 United States Department of Chemical and Biological Engineering University of Colorado Boulder Boulder Colorado 80309 United States Materials Science & Engineering Program University of Colorado Boulder Boulder Colorado 80303 United States Colorado Shared Instrumentation in Nanofabrication and Characterization University of Colorado Boulder Boulder Colorado 80303 United States Department of Chemical and Biological Engineering University of Colorado Boulder Boulder Colorado 80309 United States；Materials Science & Engineering Program University of Colorado Boulder Boulder Colorado 80303 United States；Renewable and Sustainable Energy Institute University of Colorado Boulder Boulder Colorado 80309 United States

The widely used trimethylaluminum (TMA)/water atomic layer deposition (ALD) chemistry has been shown to improve the electrochemical cycling stability of LiMO2materials, including nickel-rich LiNixMnyCo1-x-yO2(x> 0.5). However, there are many process options users must select when choosing to perform ALD, which makes comparison of ALD-on-LiMO2papers difficult. This work studies the significance of three ALD process parameters (temperature, number of ALD cycles, and termination step) on the polycrystalline LiNi0.8Mn0.1Co0.1O2(NMC811) electrochemical performance using a 23full factorial design. We observe that termination on a half-step (TMA) leads to inferior electrochemical performance. This work also evaluates the role of the TMA/water ALD process on doped NMC811 powder. When fabricated into full cells and assessed for discharge capacity and energy, overall cell resistances at low and high states of delithiation, and pulse power, the ALD-coated sample did not perform significantly better or worse compared to the uncoated, doped NMC811. Our findings suggest that rather than serving as a barrier film from the electrolyte, low cycle counts of TMA/H2O ALD fulfill a role similar to that of the dopants added during the NMC synthesis steps.

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