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Impact of fabrication methods on binder distribution and charge transport in composite cathodes of all-solid-state batteries

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materials Futures 2023年第4期2卷 127-135页

作者： Benjamin Emley Chaoshan Wu Lihong Zhao Qing Ai Yanliang Liang Zhaoyang Chen Liqun Guo Tanguy Terlier Jun Lou Zheng Fan Yan Yao Materials Science and Engineering Program and Texas Center for Superconductivity at the University of Houston University of Houston4726 Calhoun RdHoustonTX 77204United States of America Department of Electrical and Computer Engineering University of Houston4726 Calhoun RdHoustonTX 77204United States of America Department of Materials Science and Nano Engineering Rice University6100 Main StreetHoustonTX 77005United States of America SIMS Laboratory Shared Equipment AuthorityRice UniversityHoustonTX 77005United States of America Department of Engineering Technology University of HoustonHoustonTX 77204United States of America

The manufacturing process of all-solid-state batteries necessitates the use of polymer ***,these binders,being ionic insulators by nature,can adversely affect charge transport within composite cathodes,thereby impacting the rate performance of the *** this work,we aim to investigate the impact of fabrication methods,specifically the solvent-free dry process versus the slurry-cast wet process,on binder distribution and charge transport in composite cathodes of solid-state *** the dry process,the binder forms a fibrous network,while the wet process results in binder coverage on the surface of cathode active *** difference in microstructure leads to a notable 20-fold increase in ionic conductivity in the dry-processed ***,the cells processed via the dry method exhibit higher capacity retention of 89%and 83%at C/3 and C/2 rates,respectively,in comparison to 68%and 58%for the wet-processed cells at the same *** findings provide valuable insights into the influence of fabrication methods on binder distribution and charge transport,contributing to a better understanding of the binder’s role in manufacturing of all-solid-state batteries.

关键词： solid-state battery solvent-free dry process polymer binder lithium thiophosphate electrolyte

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Comparative Analysis of SAAS Model and NPC Integration for Enhancing VR Shopping Experiences

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Applied sciences (Switzerland) 2024年第15期14卷 6573页

作者： Doungtap, Surasachai Wang, Jenq-Haur Phanichraksaphong, Varinya International Graduate Program of Electrical Engineering and Computer Science National Taipei University of Technology Taipei10608 Taiwan Department of Computer Science and Information Engineering National Taipei University of Technology Taipei10608 Taiwan

This article examines the incorporation of the Shopping Assistance Automatic Suggestion (SAAS) model into Virtual Reality (VR) environments in order to improve the online shopping experience. The SAAS model employs sophisticated deep learning methods to offer customized product recommendations, which are conveyed by non-player characters (NPCs) via voice-based interactions. Our goal is to develop an interactive shopping experience that replicates real-life interactions by integrating AI-powered recommendations with immersive VR technology. We gather and standardize data from several open commerce databases, such as Amazon Product and Customer Reviews. The SAAS model, in conjunction with GPT-3, BERT, and T5, undergoes training and testing to evaluate its effectiveness across multiple criteria. The results demonstrate that the SAAS model surpasses other models in delivering contextually aware and pertinent recommendations. The integration process outlines the specific steps involved in capturing, processing, and transforming user interactions in virtual reality (VR) into vocal suggestions provided by non-player characters (NPCs). This strategy improves customization and utilizes the immersive features of virtual reality to effectively engage people. The results of our research establish a higher standard for e-commerce, with the goal of enhancing the user experience of online purchasing by making it more instinctive, engaging, and pleasurable. © 2024 by the authors.

关键词： Data mining

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Improving State of Charge Estimation for Lithium-Ion Batteries through Optimized CNN Models 5

Improving State of Charge Estimation for Lithium-Ion Batteri...

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5th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2024

作者： Kumar, Indradeep Dasari, Madhavi Danamaraju, Chaitanya Bindu, K.V. Mohanavel, V. Dhanraj, Joshuva Arockia Institute of Aeronautical Engineering Department of Aeronautical Engineering Dundigal Hyderabad500043 India Sapthagiri College of Engineering Department of Computer Science Karnataka Bengaluru560057 India RNS Institute of Technology Department of Electrical and Electronics Engineering Karnataka Bengaluru560098 India R.M.K. College of Engineering and Technology Department of Science And Humanities Tamil Nadu Thiruvallur601 206 India Bharath Institute of Higher Education and Research Centre for Materials Engineering and Regenerative Medicine Tamil Nadu Chennai600073 India Chandigarh University Punjab Mohali140413 India

ISBN: (纸本)9798350395235

Lithium-ion (Li-ion) batteries are the preferred choice for electric vehicles (EVs) because of their extended lifespans, low self-discharge rates, high voltage, and high energy density. A well-functioning Battery Management System (BMS) is critical to the efficient operation of an EV. The State of Charge (SoC) is an important statistic that reflects the remaining charge in the battery, and its exact assessment is essential for BMS and improving EV efficiency, which extends the battery's life and decreases the probability of catastrophic failure. However, SOC estimation is complicated and affected by numerous unknowns, such as battery age and external temperature. In this study, we estimated SOC using a Convolutional Neural Network (CNN) model. To improve the CNN architecture, this study has applied three different optimization algorithms: Particle Swarm Optimization (PSO), Elephant Search Algorithm (ESA), and Equilibrium Optimization (EO). Sensor data from lithium-ion batteries were carefully processed. The processed dataset was then supplied to the CNN and three optimized CNN models. These models were tested using error, R2, and time metrics to identify the optimal technique. CNN-ESA outperformed the other CNN models in SOC estimation, with the lowest error rates and the highest R2 value of 0.9987. This simulation result demonstrates the effectiveness of applying ESA to improve CNN architectures for better Li-ion battery SOC estimates. It enhances the efficiency and lifespan of EVs. © 2024 IEEE.

关键词： Mean square error

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Flexible organic solar cells for biomedical devices

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Nano Research 2021年第9期14卷 2891-2903页

作者： Bin Kan Faheem Ershad Zhoulyu Rao Cunjiang Yu Department of Mechanical Engineering University of HoustonHoustonTX 77204USA Department of Biomedical Engineering University of HoustonHoustonTX 77204USA Materials Science and Engineering Program University of HoustonHoustonTX 77204USA Department of Electrical and Computer Engineering University of HoustonHoustonTX 77204USA Texas Center for Superconductivity University of HoustonHoustonTX 77204USA

Organic solar cells(OSCs),particularly made based on solution processing methods,have made significant progress over the past decades through the concurrent evolution of organic photovoltaic materials and device ***,high power conversion efficiencies around 18%and over 16%have been demonstrated in both rigid and flexible OSCs,*** most of the OSC research has centered on efficiency and cost,their emerging and potential usages in many critical applications,particularly in biomedical fields have been *** this mini-review,we will briefly discuss the high-performance organic photovoltaic materials and the representative flexible OSCs to give a scope on the recent rapid development of ***,we will review some progress on the applications of OSCs in biomedical devices and integrated *** potential challenges associated with integrating OSCs for biomedical devices will be put forward.

关键词： organic solar cells photovoltaic flexible biomedical bioelectronics

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Comparison of Torque Generated by In-Plane and Out-of-Plane Anisotropic Magnetorheological Elastomers

Comparison of Torque Generated by In-Plane and Out-of-Plane ...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Htoo Wai Htet Ludovico Cestarollo Amal EI-Ghazaly Department of Electrical and Computer Engineering Cornell University Ithaca NY USA Department of Materials Science and Engineering Cornell University Ithaca NY USA

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

This study aims to optimize torque generation in Magnetorheological Elastomers (MREs) containing high remanent $\text{Nd}_{2}\text{Fe}_{14}\mathrm{B}$ particles. We explored two approaches to enhancing the overall remanent magnetic moment of the MREs: in-plane (IP) and out-of-plane (OOP) anisotropic arrangements of the magnetic filler particles. While the IP MREs have a slightly higher remanent moment resulting from shape anisotropy, the difference in particle arrangement established different effective bending moduli such that the IP MREs exhibit a lower net actuation in a magnetic field compared to OOP MREs. This surprising behavior indicates the importance of a synergism between both the magnetic and mechanical properties for maximizing torque production.

关键词： Torque Shape Magnetic anisotropy Elastomers Production Anisotropic Magnetic moments

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Harnessing Magnetic-Field Driven Actuation for Microscale Motion in MEMS- Inspired Device

Harnessing Magnetic-Field Driven Actuation for Microscale Mo...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Ludovico Cestarollo Amal El-Ghazaly Department of Materials Science and Engineering Cornell University Ithaca NY USA Department of Electrical and Computer Engineering Cornell University Ithaca NY USA

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

Precise small-scale control of magnetic actuation necessitates equally precise tuning of the magnetic fields and field gradients that drive the motion. In this study, two control magnets are coupled to create the local magnetic fields required to induce microscale, localized deflections of a shuttle fitted with a soft magnetic element. The magnetization orientation and anisotropy of the magnetic element is optimized to maximize the deflection during the ON state and the difference between it and the OFF state. The effectiveness of the field in exerting actuation force on the magnetic element is demonstrated through the creation of a double folded beam MEMS structure that is integrated with the control magnets. Analytical models considering the field strength and gradient from the control magnets are used to optimize the material and shape of the soft magnetic element, and the design of the beam structure. Additional magneto-mechanical simulations are performed to support the analytical deflection estimates predicted from this innovative integrated actuator design.

关键词： Micromechanical devices Analytical models Shape Magnetomechanical effects Magnetic devices Soft magnetic materials Magnetic fields

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Detailed characterization of kHz-rate laser-driven fusion at a thin liquid sheet with a neutron detection suite

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High Power Laser science and engineering 2024年第1期12卷 13-23页

作者： Benjamin M.Knight Connor M.Gautam Colton R.Stoner Bryan V.Egner Joseph R.Smith Chris M.Orban Juan J.Manfredi Kyle D.Frische Michael L.Dexter Enam A.Chowdhury Anil K.Patnaik Department of Engineering Physics Air Force Institute of TechnologyWPAFBOHUSA Physics Department Marietta CollegeMariettaOHUSA Department of Physics The Ohio State UniversityColumbusOHUSA Department of Materials Science and Engineering and Department of Electrical and Computer ScienceThe Ohio State UniversityColumbusOHUSA Intense Energy Solutions LLCPlain CityOHUSA

We present detailed characterization of laser-driven fusion and neutron production(-10^(5)/second) using 8 mJ, 40 fs laser pulses on a thin(<1 μm) D_2O liquid sheet employing a measurement suite. At relativistic intensity(~ 5 × 10^(18)W/cm^(2))and high repetition rate(1 kHz), the system produces deuterium±deuterium(D-D) fusion, allowing for consistent neutron generation. Evidence of D-D fusion neutron production is verified by a measurement suite with three independent detection systems: an EJ-309 organic scintillator with pulse-shape discrimination, a ~3He proportional counter and a set of 36 bubble detectors. Time-of-flight analysis of the scintillator data shows the energy of the produced neutrons to be consistent with 2.45 MeV. Particle-in-cell simulations using the WarpX code support significant neutron production from D-D fusion events in the laser±target interaction region. This high-repetition-rate laser-driven neutron source could provide a low-cost, on-demand test bed for radiation hardening and imaging applications.

关键词： high-repetition-rate laser-driven fusion laser-plasma interaction liquid target neutron detectors

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Limits to the Energy-Conversion Efficiency of Air-Bridge Thermophotovoltaics

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Physical Review Applied 2023年第3期19卷 034099-034099页

作者： Jihun Lim Stephen R. Forrest Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor Michigan 48109 USA Department of Physics and Materials Science and Engineering University of Michigan Ann Arbor Michigan 48109 USA

Air-bridge thermophotovoltaic (ABTPV) devices demonstrate near-99% utilization of photons whose energy is less than the semiconductor band gap (known as out-of-band, OOB, photons). Here, we determine 55.5% is the thermodynamic limit at an emitter temperature of 1400 K for single junction ABTPVs based on detailed balance, which compares to a thus-far reported efficiency of 32%. A technology computer-aided design model for the (In,Ga)As diode predicts that suppressing the surface-recombination velocity to <200 cm/s significantly improves the open-circuit voltage and the shunt resistance, resulting in 48.6% as the practical efficiency limit. We find that a 1% OOB loss due to free-carrier absorption in doped regions of the TPV can drastically decrease the efficiency at larger band gaps and lower emitter temperature. We also analyze the effects of shadowing by metal grids, which generally introduces only minor losses in TPV performance.

关键词： Carrier generation & recombination electrical properties Energy conversion technologies Optoelectronics Thermal energy harvesting devices Thermodynamics Semiconductors Thermal photovoltaics

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Real-time deep learning-assisted mechano-acoustic system for respiratory diagnosis and multifunctional classification

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npj Flexible Electronics 2024年第1期8卷 192-203页

作者： Hee Kyu Lee Sang Uk Park Sunga Kong Heyin Ryu Hyun Bin Kim SangHoon Lee Danbee Kang Sun Hye Shin Ki Jun Yu Juhee Cho Joohoon Kang Il Yong Chun Hye Yun Park Sang Min Won Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Department of Clinical Research Design and Evaluation SAIHSTSungkyunkwan UniversitySeoulRepublic of Korea Patient-Centered Outcomes Research Institute Samsung Medical CenterSeoulRepublic of Korea Center for Clinical Epidemiology Samsung Medical CenterSeoulRepublic of Korea Division of Pulmonary and Critical Care Medicine Department of MedicineSamsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of Korea School of Electrical and Electronic Engineering Yonsei UniversitySeoulRepublic of Korea School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Center for Neuroscience Imaging Research Institute for Basic ScienceSuwonRepublic of Korea

Epidermally mounted sensors using triaxial accelerometers have been previously used to monitor physiological processes with the implementation of machine learning(ML)algorithm *** findings from these previous studies have established a strong foundation for the analysis of highresolution,intricate signals,typically through frequency domain *** this study we integrate a wireless mechano-acoustic sensor with a multi-modal deep learning system for the real-time analysis of signals emitted by the laryngeal prominence area of the thyroid cartilage at frequency ranges up to 1 *** interface provides real-time data visualization and communication with the ML server,creating a system that assesses severity of chronic obstructive pulmonary disease and analyzes the user’s speech patterns.

关键词： system diagnosis mounted

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Imaging atomic-scale chemistry from fused multi-modal electron microscopy

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npj Computational materials 2022年第1期8卷 164-171页

作者： Jonathan Schwartz Zichao Wendy Di Yi Jiang Alyssa J.Fielitz Don-Hyung Ha Sanjaya D.Perera Ismail El Baggari Richard D.Robinson Jeffrey A.Fessler Colin Ophus Steve Rozeveld Robert Hovden Department of Materials Science and Engineering University of MichiganAnn ArborMIUSA Mathematics and Computer Science Division Argonne National LaboratoryLemontILUSA Advanced Photon Source Facility Argonne National LaboratoryLemontILUSA Dow Chemical Co. MidlandMIUSA Department of Material Science and Engineering Cornell UniversityIthacaNew YorkUSA School of Integrative Engineering Chung-Ang UniversitySeoulRepublic of Korea Department of Physics Cornell UniversityIthacaNYUSA The Rowland Institute at Harvard CambridgeMAUSA Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMIUSA National Center for Electron Microscopy Lawrence Berkeley National LaboratoryMolecular FoundryBerkeleyCAUSA Applied Physics Program University of MIchiganAnn ArborMIUnited States

Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic ***,fused multi-modal electron microscopy offers high signal-to-noise ratio(SNR)recovery of material chemistry at nano-and atomic-resolution by coupling correlated information encoded within both elastic scattering(high-angle annular dark-field(HAADF))and inelastic spectroscopic signals(electron energy loss(EELS)or energy-dispersive x-ray(EDX)).By linking these simultaneously acquired signals,or modalities,the chemical distribution within nanomaterials can be imaged at significantly lower doses with existing detector *** many cases,the dose requirements can be reduced by over one order of *** high SNR recovery of chemistry is tested against simulated and experimental atomic resolution data of heterogeneous nanomaterials.

关键词： materials chemistry fused

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