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Growth of Gd0.3ca2.7co3.82cu0.18o9-Δ-Bace0.6zr0.2y0.2o3-Δ Bulk Heterojunction Cathode Interlayer by Pulsed Laser Deposition for Enhancing Protonic Solid Oxide Fuel Cell Performance

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SSRN 2023年

作者： Umer, Muhammad Abdullah Cheng, Cheng-Yang Lai, Bo-Ruei Tseng, Chung-Jen Chen, Szu-Yuan Lee, Sheng-Wei Molecular Science and Technology program Taiwan International Graduate Program Academia Sinica Taipei City106923 Taiwan Department of Physics National Central University Taoyuan City320317 Taiwan Institute of Atomic and Molecular Sciences Academia Sinica Taipei City106923 Taiwan Institute of Materials Science and Engineering National Central University Taoyuan City320317 Taiwan Department of Mechanical Engineering National Central University Taoyuan City320317 Taiwan Department of Chemical and Materials Engineering National Central University Taoyuan City320317 Taiwan

The triple-conducting (e-/H+/O2-) oxides have been extensively studied as the most promising cathode materials for protonic solid oxide fuel cells (P-SOFCs) because of their excellent catalytic activity at lower operating temperatures. However, direct application of these cathode materials by brush-painting or screen-printing provides limited contact area with the underlying electrolyte layer, resulting in high cathode ohmic and polarization resistances. In this study, it is demonstrated that a bulk heterojunction Gd0.3Ca2.7Co3.82Cu0.18O9-δ (GCCCO)-BaCe0.6Zr0.2Y0.2O3-δ (BCZY) layer with a domain width of ~5 nm can be grown by pulsed laser deposition (PLD) via spontaneous phase separation. Such a nanocomposite interlayer between spin-coated BCZY electrolyte and brush-painted GCCCO cathode can effectively increases the interfacial area between the two distinct phases and facilitates proton transport across the interface. This electrode design reduces the ohmic resistance by 0.35 Ω cm2 and the polarization resistance by a factor of three, thus significantly boosting the cell performance. © 2023, The Authors. All rights reserved.

关键词： Pulsed laser deposition

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No external load measurement strategy for micro thermoelectric generator based on high-performance Si_(1-x-y)Ge_(x)Sn_(y) film

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Journal of Materiomics 2021年第4期7卷 665-671页

作者： Ying Peng Sijing Zhu Huajun Lai Jie Gao Masashi Kurosawa Osamu Nakatsuka Sakae Tanemura Biaolin Peng Lei Miao Guangxi Key Laboratory of Information Material School of Material Science and EngineeringGuilin University of Electronic TechnologyGuilin541004China Department of Materials Physics Graduate School of EngineeringNagoya UniversityNagoya464-8603Japan PRESTO Japan Science and Technology Agency4-1-8HonchoKawaguchiSaitama332-0012Japan Institute of Materials and Systems for Sustainability Nagoya UniversityNagoya464-8601Japan Japan Fine Ceramics Center 2-4-1 MutsunoAtsuta-kuNagoya456-8587Japan Center on Nanoenergy Research Guangxi Key Laboratory of Processing for Non-ferrous Metal and Featured MaterialsGuangxi Key Laboratory for Relativity AstrophysicsNanning530004China Department of Materials Science and Engineering SIT Research LaboratoriesInnovative Global ProgramFaculty of EngineeringShibaura Institute of TechnologyTokyo135-8548Japan

In this study,a micro in-plane p-type thermoelectric generator(TEG),which consists of thin-film Si_(1-x-y)Ge_(x)Sn_(y) ternary alloy semiconductor on insulator,is developed to make efficient use of waste heat such as human body.A power factor value as high as 1095 mWm^(-1) K^(-2) had been achieved using Bion implanted and short-term rapid thermal annealing(RTA)*** addition,a measuring scheme for micro TEG without external load resistance was *** one measuring session,multiple parameters can be *** micro single-arm TEG prepared by semiconductor process can output 0.29 nW power at a temperature difference of 15 K,and a cross-sectional power density has reached up to 0.58 mW/cm^(2),which is a superior value for wearable *** findings of this study have important reference value for wearable device performance improvement and output power measuring of micro TEG.

关键词： Si_(1-x-y)Ge_(x)Sn_(y) film P-type TEG No external load measurement Ambient power density

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Porous Mesh Manifold for Enhanced Pool Boiling Performance

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SSRN 2024年

作者： Giglio, Roman Shattique, Muhammad Rubaiet Dede, Ercan M. Narumanchi, Sreekant Asheghi, Mehdi Goodson, Kenneth E. Palko, James W. Department of Mechanical Engineering University of California MercedCA United States Materials and Biomaterials Science and Engineering Graduate Program University of California MercedCA United States Toyota Research Institute of North America Ann ArborMI United States National Renewable Energy Laboratory GoldenCO United States Department of Mechanical Engineering Stanford University StanfordCA United States

High performance electronics are continuously demanding cooling of higher heat fluxes. Phase change cooling, including pool boiling, is a useful approach to address this challenge, however competition between liquid and vapor flows generally limit the heat fluxes that can be dissipated. Here a manifold structure formed from metallic mesh is introduced to control the disposition of liquid and vapor phases above a boiling surface enhanced with a porous structure. Copper mesh forms defined liquid flow paths using capillary action to guide and distribute liquid evenly over the heated surface and open channels to facilitate vapor escape. The manifold performance is characterized in pool boiling with water above a laser textured aluminum nitride heat dissipation surface with pin fin structures having heights of 110 µm and spacing of 30 µm with a heated area of 5 mm x 5 mm. Maximum heat flux of 490W/cm is reached with the manifold in the pool boiling configuration, representing a 64% increase over the porous surface alone. Maximum superheat found for the manifold is 36 K, which is 14 K higher than the porous surface without manifold. Factors limiting performance of the manifold are analyzed. Based on variation of manifold geometry and numerical simulation, the primary limitation to heat flux is found to be viscous resistance to liquid flow in the manifold mesh. The increased superheat is attributed to partial flooding of the boiling surface as indicated by reduction in superheat using external suction. Similar systems and structures for enhanced two-phase cooling are compared. © 2024, The Authors. All rights reserved.

关键词： Heat flux

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Understanding the Effect of Ni Content on Microstructures and Tensile Properties of Alsi10mg Alloy Samples Under a Variety of Solidification Rates

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SSRN 2022年

作者： de Moura, Danusa Araújo de Gouveia, Guilherme Lisboa Gomes, Leonardo Fernandes Spinelli, José Eduardo Federal University of São Carlos Graduate Program in Materials Science and Engineering SP São Carlos13565-905 Brazil Department of Materials Engineering Federal University of São Carlos UFSCar SP São Carlos13565-905 Brazil

It is critical to gain a better knowledge of the impact of varying Ni contents on the microstructural changes of the AlSi10Mg alloy solidified at various cooling severities. Understanding the combined features of Si and Al3Ni phases constituting this modified alloy may also have a significant impact on understading its properties. In order to advance in these topics, AlSi10Mg alloys modified with, 1.0, 2.0 and 3.0 wt.% Ni are either directionally solidified (DS) at lower cooling rates or laser surface remelted (LSR) at higher rates. α-Al dendritic branches are found in the microstructure of all tested alloys either for DS or LSR specimens, surrounded by the eutectic constituent. Moreover, the dendritic array is defined by the secondary dendritic spacing, λ2, which is found to be 65% lower for the Ni-containing alloys than in the AlSi10Mg alloy. The microstructure of the quaternary alloys is constituted by the α-Al+Si+Al3Ni phases, with the Al3Ni phase having a prevalent fishbone shape and being found in higher proportions as a result of slow cooling and increasing Ni content. Ultimate tensile strength of the AlSi10Mg alloy is 190 MPa for a specified range of λ2 (22-30 μm), which is higher than that of Ni-containing alloys for the same range. However, Ni-containing alloys are more sensitive to λ2, and the DS AlSi10Mg-1Ni alloy, as well as a combination of samples solidified at no less than 3oC/s, fine dendritic spacing ( © 2022, The Authors. All rights reserved.

关键词： Thermoanalysis

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Laser Processed Aluminum Nitride Structures for Enhanced Two-Phase Cooling

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SSRN 2024年

作者： Giglio, Roman Shattique, Muhammad Rubaiet Md. Dede, Ercan M. Narumanchi, Sreekant Asheghi, Mehdi Goodson, Kenneth E. Palko, James W. Department of Mechanical Engineering University of California MercedCA United States Materials and Biomaterials Science and Engineering Graduate Program University of California MercedCA United States Toyota Research Institute of North America Ann ArborMI United States National Renewable Energy Laboratory GoldenCO United States Department of Mechanical Engineering Stanford University StanfordCA United States

The demand for higher heat flux cooling is increasing as the use of power electronics continues to expand. Two-phase cooling approaches that are tightly integrated into electronic packages offer potential for high performance. Here we describe a method to produce microscale pillars directly in aluminum nitride using UV laser ablation that is compatible with existing substrates for power electronics packaging and offers high precision and short production time. The resulting structures show significantly enhanced performance in pool boiling compared to unmodified surfaces. Effectiveness in two-phase cooling is investigated in terms of critical heat flux, heat transfer coefficient, and thermal resistance. The micropillar structures achieve a maximum critical heat flux of 299 W/cm2 and heat transfer coefficients up to 20 W/cm2 K for cooled areas of 0.25 cm2 in deionized water. Performance is attributed to the effective capillary rewetting of the surface during boiling and increased surface area. Corrosion of the aluminum nitride surface by the water working fluid is observed and contributes to a slow degradation of the measured heat transfer coefficient. The potential for simple processing routes to allow tight integration of two-phase cooling of electronics more generally is considered. © 2024, The Authors. All rights reserved.

关键词： Heat flux

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Nonlinear Self-Calibrated Spectrometer with Single GeSe-InSe Heterojunction Device

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arXiv 2023年

作者： Darweesh, Rana Yadav, Rajesh Kumar Adler, Elior Poplinger, Michal Levi, Adi Lee, Jea-Jung Leshem, Amir Ramasubramaniam, Ashwin Xia, Fengnian Naveh, Doron Faculty of Engineering Bar-Ilan University Ramat-Gan52900 Israel Institue of Nanotechnology and Advanced Materials Bar-Ilan University Ramat-Gan52900 Israel Department of Electrical Engineering Yale University New HavenCT United States Department of Mechanical and Industrial Engineering University of Massachusetts AmherstMA01003 United States Materials Science and Engineering Graduate Program University of Massachusetts AmherstMA01003 United States

Optical spectroscopy – the measurement of electromagnetic spectra – is fundamental to various scientific domains and serves as the building block of numerous technologies.1–3 Computational spectrometry is an emerging field that employs an array of photodetectors with different spectral responses or a single photodetector device with tunable spectral response, in conjunction with numerical algorithms, for spectroscopic measurements.4–6 Compact single photodetectors made from layered materials are particularly attractive, 7–9 since they eliminate the need for bulky mechanical and optical components used in traditional spectrometers and can easily be engineered as heterostructures to optimize device performance.7,10 However, compact tunable photodetectors are typically nonlinear devices and this adds complexity to extracting optical spectra from the device response. Here, we report on the training of an artificial neural network (ANN) to recover the full nonlinear spectral photoresponse - a nonlinear problem of high dimensionality - of a single GeSe-InSe p-n heterojunction device. We demonstrate the functionality of a calibrated spectrometer in the spectral range of 400-1100 nm, with a small device footprint of ~25 × 25 μm, and we achieve a mean reconstruction error of 2 × 10-4 for the power-spectrum at a spectral resolution of 0.35 nm. Using our device, we demonstrate a solution to metamerism, an apparent matching of colors with different power spectral distributions, which is a fundamental problem in optical *** Codes Nonlinear Self-Calibrated Spectrometer, Artificial neural network, Optical imaging © 2023, CC BY.

关键词： Spectrometers

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Understanding ADC variation by fat content effect using a dual-function MRI phantom

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European Radiology Experimental 2024年第1期8卷 19页

作者： Liu, Yi-Jui Tsai, Tung-Sheng Li, Ya-Hui Peng, Jo-Hua Chang, Hing-Chiu Peng, Hsu-Hsia Lee, Ying-Chieh Lee, Tung-Yang Liou, Chang-Hsien Lin, Tz-Feng Chew, Fatt-Yang Chou, Ruey-Hwang Juan, Chun-Jung Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Ph.D. Program in Electrical and Communication Engineering Feng Chia University Taichung Taiwan Department of Medical Imaging China Medical University Hsinchu Hospital 199 Sec. 1 Xinglong Rd. Hsinchu County Zhubei City 302 Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Biomedical Engineering Chinese University of Hong Kong Hong Kong Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Cheng Ching Hospital Taichung Taiwan Institute of Nuclear Engineering and Science National Tsing Hua University Hsinchu Taiwan Department of Fiber and Composite Materials Feng Chia University Taichung Taiwan Department of Medical Imaging China Medical University Hospital Taichung Taiwan Department of Radiology School of Medicine China Medical University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung 406 Taiwan Center for Molecular Medicine China Medical University Hospital Taichung Taiwan Department of Medical Laboratory and Biotechnology Asia University Taichung Taiwan

Background: A dual-function phantom designed to quantify the apparent diffusion coefficient (ADC) in different fat contents (FCs) and glass bead densities (GBDs) to simulate the human tissues has not been documented yet. We propose a dual-function phantom to quantify the FC and to measure the ADC at different FCs and different GBDs. Methods: A fat-containing diffusion phantom comprised by 30 glass-bead-containing fat-water emulsions consisting of six different FCs (0, 10, 20, 30, 40, and 50%) multiplied by five different GBDs (0, 0.1, 0.25, 0.5, and 1.0 g/50 mL). The FC and ADC were measured by the “iterative decomposition of water and fat with echo asymmetry and least squares estimation-IQ,” IDEAL-IQ, and single-shot echo-planar diffusion-weighted imaging, SS-EP-DWI, sequences, respectively. Linear regression analysis was used to evaluate the relationship among the fat fraction (FF) measured by IDEAL-IQ, GBD, and ADC. Results: The ADC was significantly, negatively, and linearly associated with the FF (the linear slope ranged from -0.005 to -0.017, R² = 0.925 to 0.986, all p < 0.001). The slope of the linear relationship between the ADC and the FF, however, varied among different GBDs (the higher the GBD, the lower the slope). ADCs among emulsions across different GBDs and FFs were overlapped. Emulsions with low GBDs plus high FFs shared a same lower ADC range with those with median or high GBDs plus median or lower FFs. Conclusions: A novel dual-function phantom simulating the human tissues allowed to quantify the influence of FC and GBD on ADC. Relevance statement: The study developed an innovative dual-function MRI phantom to explore the impact of FC on ADC variation that can affect clinical results. The results revealed the superimposed effect on FF and GBD density on ADC measurements. Key points: • A dual-function phantom made of glass bead density (GBD) and fat fraction (FF) emulsion has been developed. • Apparent diffusion coefficient (ADC) values

关键词： Adipose tissue Diffusion magnetic resonance imaging Phantoms (imaging) Quality assurance (healthcare) Quality control

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Optimal Planning of Hybrid Energy Storage Systems Using Curtailed Renewable Energy Through Deep Reinforcement Learning

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SSRN 2023年

作者： Kang, Dongju Kang, Doeun Hwangbo, Sumin Niaz, Haider Lee, Won Bo Liu, J. Jay Na, Jonggeol School of Chemical and Biological Engineering Seoul National University Gwanak-ro 1 Gwanak-gu Seoul08826 Korea Republic of Department of Chemical Engineering and Materials Science Ewha Womans University Seoul03760 Korea Republic of Graduate Program in System Health Science and Engineering Ewha Womans University Seoul03760 Korea Republic of Department of Chemical Engineering Pukyong National University Busan48513 Korea Republic of

Energy management systems (EMS) are becoming increasingly important in order to utilize the continuously growing curtailed renewable energy. Promising energy storage systems (ESS), such as batteries and green hydrogen should be employed to maximize the efficiency of energy stakeholders. However, optimal decision-making, i.e., planning the leveraging between different strategies, is confronted with the complexity and uncertainties of large-scale problems. Here, we propose a sophisticated deep reinforcement learning (DRL) methodology with a policy-based algorithm to realize the real-time optimal ESS planning under the curtailed renewable energy uncertainty. A quantitative performance comparison proved that the DRL agent outperforms the scenario-based stochastic optimization (SO) algorithm, even with a wide action and observation space. Owing to the uncertainty rejection capability of the DRL, we could confirm a robust performance, under a large uncertainty of the curtailed renewable energy, with a maximizing net profit and stable system. Action-mapping was performed for visually assessing the action taken by the DRL agent according to the state. The corresponding results confirmed that the DRL agent learns the way like what a human expert would do, suggesting reliable application of the proposed methodology. © 2023, The Authors. All rights reserved.

关键词： Reinforcement learning

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Effects of carbon dioxide concentration and swine wastewater on the cultivation of Chlorella vulgaris FSP-E and bioethanol production from microalgae biomass

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Applied Energy 2024年 369卷

作者： Condor, Billriz E. de Luna, Mark Daniel G. Lacson, Carl Francis Z. Acebu, Paula Isabel G. Abarca, Ralf Ruffel M. Nagarajan, Dillirani Lee, Duu-Jong Chang, Jo-Shu Energy Engineering Program National Graduate School of Engineering University of the Philippines Diliman Quezon City Philippines Quezon City1101 Philippines Department of Chemical Engineering University of the Philippines Diliman Quezon City1101 Philippines Center of Excellence in Environmental Catalysis and Adsorption Thammasat University Pathum Thani12121 Thailand Department of Chemical Engineering and Technology Mindanao State University-Iligan Institute of Technology Iligan City9200 Philippines College of Hydrosphere Science Institute of Aquatic Science and Technology National Kaohsiung University of Science and Technology Kaohsiung City811532 Taiwan Department of Mechanical Engineering City University of Hong Kong Kowloon Tang Hong Kong Department of Chemical and Materials Engineering Tunghai University 407 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung407 Taiwan Department of Chemical Engineering National Cheng Kung University Tainan701 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Chung-Li Taiwan

The study investigated the potential of wastewater-derived microalgae as a cost-effective feedstock for bioethanol production. The influence of CO2 loading, use of swine wastewater as a nutrient source, effect of micronutrients in the cultivation media, and scale-up of Chlorella vulgaris FSP-E was conducted. Results showed that 2% CO2, 25% swine wastewater, 500 mg/L sodium nitrate, 40 mg/L K2HPO4, 75 mg/L MgSO4, and 6 mg/L citric acid were optimal for maximal biomass production, nitrate removal, and carbohydrate accumulation in BG-11 medium. The maximum biomass and carbohydrate content obtained in this study were 35-fold and 60%, respectively. Scaling up to 5 L volume was challenging due to illumination, aeration, and mixing issues. The obtained carbohydrate-rich biomass was subjected to mild sulfuric acid hydrolysis and subsequently used for bioethanol fermentation. The hydrolysate was composed solely of glucose and galactose and was converted into bioethanol within 8 h by Saccharomyces cerevisiae with an ethanol yield of 0.22 ± 0.01 g ethanol per g biomass. Further exploration of effective lighting and mixing strategies are recommended to realize economically viable microalgal biofuels. © 2024 Elsevier Ltd

关键词： Biomass

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Rheology and 3d Printing of Alginate Bio-Stabilized Earth Concrete

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SSRN 2023年

作者： Maierdan, Yierfan Armistead, Samuel J. Mikofsky, Rebecca A. Huang, Qiqi Ben-Alon, Lola Srubar, Wil V. Kawashima, Shiho Columbia University Department of Civil Engineering and Engineering Mechanics New YorkNY10027 United States Columbia University Graduate School of Architecture Planning and Preservation New YorkNY10027 United States University of Colorado Boulder Department of Civil Environmental and Architectural Engineering United States University of Colorado Boulder Materials Science and Engineering Program United States

Driven by the need for sustainable construction solutions, there is renewed interest in earth-based materials. Biopolymer stabilizers can enhance the rheological and structural properties of these materials to facilitate their use in 3D printing. This research examined the influence of sodium alginate on the stability, particle interaction, rheology, and 3D printability of kaolinite, a commonly found clay mineral in soils deemed suitable for construction. Findings revealed that sodium alginate could boost electrostatic interactions to enhance the stability of kaolinite suspensions. This rise in repulsive potential energy also reduced storage modulus and yield stress by orders of magnitude. However, as the alginate content increased beyond its cross-linking concentration (0.12% - 0.6%), a reverse trend was observed, which was attributed to the formation of a three-dimensional polymer network. Furthermore, alginate addition shifted the "printability window" of kaolinite suspensions to mixtures with higher solid contents, which has positive implications on strength and shrinkage. © 2023, The Authors. All rights reserved.

关键词： Biomolecules

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