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MXenes and MXene-based composites for energy conversion and storage applications

Journal of Materiomics 2023年第6期9卷 1067-1112页

作者： Zhuohao Xiao Xiaodong Xiao Ling Bing Kong Hongbo Dong Xiuying Li Xinyuan Sun Bin He Shuangchen Ruan Jianpang Zhai School of Mechanical and Vehicle Engineering Linyi UniversityLinyi276000ShandongChina School of Materials Science and Engineering Jingdezhen Ceramic UniversityJingdezhen333403JiangxiChina College of New Materials and New Energies Shenzhen Technology UniversityShenzhen518118GuangdongChina Department of Physics Jinggangshan UniversityJi'an343009JiangxiChina

MXenes have received extensive attention from scholars due to their unique layered structure,significant electrical conductivity,and excellent mechanical *** addition to their pristine forms,they could also be incorporated with other components for attaining hybrids and nanocomposites,accompanying with amplified *** has been widely used in lithium batteries,supercapacitors,electromagnetic shielding,tumor therapy,biosensors,photocatalysis,and other fields,and has shown great application potential in energy conversion and *** purpose of this article is to encyclopaedically overview the latest progress in synthesis and characterization of MXenes,while their potential applications in energy conversation such as water splitting and solar cells,as well as in energy storage such as Li-ion batteries,supercapacitors,and hydrogen energy will be comprehensively *** opportunities and challenges are summarized.

关键词： MXenes 2D materials materials characterization Energy converstion Energy storage

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Insights into the Origins of Solar-Assisted Electrochemical Water Oxidation in Allotropic Co_(5.47)N/CON Heterojunctions

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Energy & Environmental materials 2024年第5期7卷 234-243页

作者： Sirui Liu Qiong Gao Bo Geng Lili Wu Zhikun Xu Xinzhi Ma Shijie Liu Boquan Li Mingyi Zhang Lirong Zhang Xitian Zhang Key Laboratory for Photonic and Electronic Bandgap Materials Ministry of EducationSchool of Physics and Electronic EngineeringHarbin Normal UniversityHarbin 150025China School of Physics and Engineering Henan University of Science and Technology Luoyang 471023China School of Science Guangdong University of Petrochemical TechnologyMaoming 525000China Department of Mechanical Engineering Research Institute for Advanced ManufacturingThe Hong Kong Polytechnic UniversityHong Kong 999077China College of Science Southern University of Science and TechnologyShenzhen 518055China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China

Solar irradiation can efficiently promote the kinetics of the oxygen evolution reaction(OER)during water splitting,where heterojunction catalysts exhibit excellent photoresponsive ***,insights into the origins of photoassisted OER catalysis remain unclear,especially the interfaced promotion under convergent solar irradiation(CSI).Herein,novel allotropic Co_(5.47)N/CoN heterojunctions were synthesized,and corresponding OER mechanisms under CSI were comprehensively uncovered from physical and chemical aspects using the in situ Raman technique and electrochemical cyclic voltammetry *** results provide a unique mechanism where high-energy UV light promotes the Co^(3+/4+)conversion process in addition to the ordinary photoelectric effect excitation of the Co^(2+)***,visible light under CSI can produce a photothermal effect for Co^(2+)excitation and Co^(3+/4+)conversion,which promotes the OER significantly more than the usual photoelectric *** a result,Co_(5.47)N/CoN(containing 28%CoN)obtained 317.9%OER enhancement,which provides a pathway for constructing excellent OER catalysts.

关键词： chemical origins in situ Raman OER photothermal effect physical origins

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Rational design of CdS-enwrapped polypyrrole nanoparticles for wastewater treatment: removal of hazardous pollutants in aqueous solutions

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Environmental science and Pollution Research 2024年 1-11页

作者： Siva, Vadivel Murugan, Anbazhagan Shameem, Abdul Samad Jhelai, Sahadevan Palanivel, Baskaran Asaithambi, Sankaiya GaneshKumar, Poongavanam Kim, Ikhyun Govindasamy, Palanisamy Lee, Jintae Paramasivam, Sivaprakash Department of Physics Karpagam Academy of Higher Education Coimbatore641 021 India Centre for Energy and Environment Karpagam Academy of Higher Education Coimbatore641 021 India Department of Science and Humanities Karpagam College of Engineering Coimbatore641 032 India Department of Science and Humanities Karpagam Academy of Higher Education Coimbatore641 021 India Department of Physics Bannari Amman Institute of Technology Sathyamangalam638 401 India Nanotechnology Advanced Materials Engineering Sejong University Seoul Korea Republic of Department of Mechanical Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Tamil Nadu Kattankulathur603 203 India Department of Mechanical Engineering Keimyung University Daegu42601 Korea Republic of School of Chemical Engineering Yeungnam University 280 Daehak-Ro Gyeongsan38541 Korea Republic of

The modern world requires a chemical industry that can run at low production costs while producing high-quality products with minimal environmental impact. The development of environmentally friendly, cost-effective, and efficient wastewater treatment materials remains a major problem for the sustainable approach. We prepared nanoscale cadmium sulfide (CdS)-enwrapped polypyrrole (PPy) polymer composites for degradation of organic pollutants. The prepared CdS@PPy nanocomposites were characterized by powder X-ray diffraction, scanning electron microscope (SEM), field emission scanning electron microscope (FESEM), Fourier transform infrared spectroscopy (FTIR), and ultraviolet–visible (UV) absorption spectroscopy, indicating proper intercalation between CdS and PPy. Consequently, the catalytic efficiency of the synthesized hybrid nanocomposites was analyzed through the degradation of methylene blue (MB) and rhodamine B (Rh B) under visible light irradiation. The measured degradation efficiency of the dye solutions under the photolysis process is about 18% and 23% for MB and Rh B dye, respectively. Furthermore, the recycle test result concludes that the CdS@PPy composite exhibits 91% and 89% of MB and Rh B dye degradation efficiency even at the 4th cycle, respectively. The positive synergistic impact of CdS and PPy may be the result of effective photocatalytic degradation of MB and RhB. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Cadmium sulfide

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Uncertainty quantification for damage detection in 3D printed auxetic structures based on ultrasonic guided-wave using Flipout probabilistic convolutional neural network 14

Uncertainty quantification for damage detection in 3D printe...

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14th International Conference on Recent Advances in Structural Dynamics, RASD 2024

作者： Lu, Houyu Farrokhabadi, Amin Rauf, Ali Talemi, Reza Gryllias, Konstantinos Chronopoulos, Dimitrios KU Leuven Ghent Campus 9000 Belgium Department of Materials Engineering KU Leuven Leuven3001 Belgium Department of Mechanical Engineering Faculty of Engineering Science KU Leuven Belgium Dynamics of Mechanical and Mechatronic Systems Flanders Make Celestijnenlaan 300 BOX 2420 Leuven3001 Belgium

The auxetic structure is widely used in aviation, bio-engineering, automation, and other industries due to its outstanding properties, such as being lightweight, high strength-to-weight ratio, and absorbing energy. Neural network methods have been popularly used for auxetic structures' structural health monitoring. However, the performance of neural network methods in unknown areas is limited. To increase the reliability of the network model, more comprehensive uncertainty quantification is needed for damage detection in unknown areas. This paper introduces a comprehensive framework for health diagnosis and uncertainty quantification in 3D-printed auxetic structures made of polylactic acid. The framework involves quasi-static uniaxial compression and ultrasonic tests conducted simultaneously to capture ultrasonic signals at different deformation states. Critical damage deformation is identified based on observed deformation patterns and variations in signal energy. Using the Hilbert transform, two damage-sensitive features-envelope and phase-are extracted. These features serve as input data for the Flipout probabilistic convolutional neural network (FPCNN) model, which integrates pseudo-independent weight perturbations and a Gaussian probabilistic layer within the visual geometry group 13 architecture to predict structural deformations and associated uncertainties. The uncertainty quantification framework, based on variational inference and the conditional covariance law, effectively separates and quantifies the predictive variance of the network model into aleatoric and epistemic uncertainty. This framework's feasibility is demonstrated through compression and ultrasonic tests, utilizing the FPCNN. This showcases the uncertainty quantification capabilities of the FPCNN model. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Ultrasonic testing

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Efficient All-Polymer Solar Cells Enabled by a Novel Medium Bandgap Guest Acceptor

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Chinese Journal of Chemistry 2024年第24期42卷 3559-3566页

作者： Yongdie Meng Luting Tang Manjun Xiao Wenjing Zhou Nana Li Jianchao Jia Tao Jia Wenyan Su Zhaozhao Bi Wenhong Peng Baobing Fan Alex K-YJen Wei Ma Qunping Fan College of Chemistry Key Lab of Environment-Friendly Chemistry and Application(Ministry of Education)Xiangtan UniversityXiangtanHunan 411105China State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’anShaanxi 710049China Institute of Chemical Engineering Guangdong Academy of SciencesGuangzhouGuangdong 510665China School of Optoelectronic Engineering School of Mechanical EngineeringGuangdong Polytechnic Normal UniversityGuangzhouGuangdong 510665China School of Materials Science and Engineering Xi’an University of Science and TechnologyXi’anShaanxi 710054China School of Materials Engineering Changzhou Vocational Institute of Industry TechnologyChangzhouJiangsu 213164China Department of Chemistry City University of Hong KongKowloonHong Kong 999077China Hong Kong Institute for Clean Energy City University of Hong KongKowloonHong Kong 999077China

Near-infrared(NIR)-absorbing polymerized small molecule acceptors(PSMAs)based on a Y-series backbone(such as PY-IT)have been widely developed to fabricate efficient all-polymer solar cells(all-PSCs).However,medium-bandgap PSMAs are often overlooked,while they as the third component can be expected to boost power conversion efficiencies(PCEs)of all-PSCs,mainly due to their up-shifted lowest unoccupied molecular orbital(LUMO)energy level,complimentary absorption,and diverse intermolecular interaction compared to the NIR-absorbing host ***,an IDIC-series medium-bandgap PSMA(P-ITTC)is developed and introduced as the third component into D18/PY-IT host,which can not only form complementary absorption and cascade energy level,but also finely optimize active layer ***,compared to the D18/PY-IT based parental all-PSCs,the ternary all-PSCs based on D18/PY-IT:P-ITTC obtain an increased exciton dissociation,charge transport,carrier lifetime,as well as suppressed charge recombination and energy *** a result,the ternary all-PSCs achieve a high PCE of 17.64%with a photovoltage of 0.96 V,both of which are among the top values in layer-by-layer typed *** work provides a method for the design and selection of the medium-bandgap third component to fabricate efficient all-PSCs.

关键词： Medium bandgap Polymerized small molecule acceptor All-polymer solar cells Energy loss Power conversion efficiency Host-guest systems Crystal engineering Doping

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Artificial Intelligence in the Design Workflow. Review of Tools with Special Focus on Additive Manufacturing 32nd

Artificial Intelligence in the Design Workflow. Review of To...

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32nd International conference on The Digital Transformation in the Graphic engineering, INGEGRAF 2023

作者： Moreno-Sánchez, Daniel Moreno-Nieto, Daniel Burgos-Pintos, Pedro Molina, Sergio I. Department of Mechanical Engineering and Industrial Design School of Engineering IMEYMAT University of Cádiz Cádiz Spain Department of Materials Science and Metallurgical Engineering and Inorganic Chemistry Faculty of Sciences IMEYMAT University of Cádiz Cádiz Spain

ISBN: (纸本)9783031516221

In this communication, the main artificial intelligence tools available within the field of graphic engineering will be presented, as well as the potential use of these tools in the creation of new products to be manufactured by additive manufacturing. In addition, a critical analysis will be made of the advantages that these new technologies provide in the industrial design sector and the generation of new products. However, the irruption of this type of resources is fueling certain fears and suspicions, especially related to the connotation of the loss of jobs for designers and creatives, which will also be analyzed. Finally, in this communication a new workflow will be exposed to be able to unify these two technologies with the aim of creating pieces of new concepts oriented to be manufactured by 3D printing. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： 3D printing

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Synergizing Deep Belief Networks and Multi-Layer Perceptrons for Advanced Facial Expression Identification: A Leap in Deep Learning Applications 9

Synergizing Deep Belief Networks and Multi-Layer Perceptrons...

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9th IEEE International Conference for Convergence in Technology, I2CT 2024

作者： Sharada, K. Anandhan, K. Jeevanandam, Prabahar Mohanavel, V. Naik, B. Ravi Kannan, Sathish Department of Computer Science And Engineering Visakhapatnam India Gitam University Department of Computer Science And Engineering Bengaluru India Park College of Engineering And Technology Department of Mechanical Engineering Coimbatore Kaniyur641659 India Bharath Institute of Higher Education And Research Centre For Materials Engineering And Regenerative Medicine Tamil Nadu Chennai600073 India Chandigarh University Department of Mechanical Engineering Punjab Mohali140413 India St. Martin's Engineering College Department of Mechanical Engineering Telangana Secunderabad India Saveetha Institute of Medical And Techinical Sciences Saveetha School of Engineering Department of Vlsi Microelectronics Tamilnadu Chennai602105 India

ISBN: (纸本)9798350394474

Deep learning, a relatively recent breakthrough in machine learning, has ignited immense interest and applications across diverse fields, including but not limited to signal processing, computer vision and pattern recognition. Within this realm, deep belief networks (DBNs) stand out for their remarkable capacity for unsupervised feature learning. In our research, we introduce an innovative deep learning-based approach for the task of facial expression identification. This approach involves the integration of DBNs with a multi-layer perceptron (MLP), thereby leveraging the complementary strengths of these two neural network architectures. DBNs excel in autonomously extracting meaningful features from raw data, making them invaluable for tasks where feature engineering can be a bottleneck. On the other hand, MLPs are renowned for their ability to perform complex classification tasks effectively. The unsupervised feature learning capabilities of DBNs and the classification ability of MLPs are combined in one single framework. The experimental findings we obtained show that the suggested strategy outperforms other contemporary classification strategies. MLP, sparse representation, nearest subspace, Closest neighbor, and support vector machine were some of the other categorization methods we compared ours to. Our combined method achieved superior results in both scenarios, demonstrating its promise as a reliable and efficient approach to face emotion recognition. In especially for human emotion analysis and computer vision tasks, this study offers a major step forward in the realm of deep learning applications. © 2024 IEEE.

关键词： Multilayer neural networks

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Additive manufacturing of mullite ceramic by digital light processing

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Ceramics International 2025年第16期51卷 22220-22230页

作者： Tsai, Jung-Ting Thomas, Jonova Chuang, Andrew Chihpin Du, Wenchao Singh, Dileep Department of Mechanical Engineering National Taiwan University of Science and Technology Taipei106335 Taiwan Applied Materials Division Argonne National Laboratory LemontIL60439 United States X-ray Science Division Argonne National Laboratory LemontIL60439 United States

Mullite material was successfully additively manufactured using digital light processing (DLP). The printed geometry involves a one-step process of pyrolysis, de-binding, and sintering under a plain atmosphere to achieve an average of 76 % ceramic yield and linear shrinkage of 12 %. Furthermore, the thermal profile was carefully controlled to obtain consistent phases in which the XRD shows a mullite phase. In addition, the Weibull analysis was conducted on the sintered flexural specimens, showing a Weibull modulus (m) of 13.05 with a characteristic strength (σ0) of 94.96 MPa. Synchrotron microtomography was performed on the sintered specimens, which showed two distinct porosity distributions (small and large). Large porosity (non-spherical elongated) is the primary cause of decreased material strength, while small porosity (spherical) is the sintering product. The measured thermal conductivity of the specimens was in the range of 2.7–3.1 W/m∙k and decreased with an increase in temperature. Lastly, large-scale prototypes were printed concurrently with a fine resolution of 25 μm without any compromise on the predetermined design and structure. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Additive manufacturing Digital light processing Microtomography Mullite

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Corrosion and passive film characteristics of 3D-printed NiTi shape memory alloys in artificial saliva

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Rare Metals 2023年第9期42卷 3114-3129页

作者： Ming Liu Jia-Ning Zhu V.A.Popovich E.Borisov J.M.C.Mol Y.Gonzalez-Garcia State Key Laboratory for Mechanical Behavior of Materials Center for Advancing Materials Performance from the Nanoscale(CAMP-Nano)Xi’an Jiaotong UniversityXi’an710049China Department of Materials Science and Engineering Delft University of TechnologyAA Delft2600The Netherlands Peter the Great Saint-Petersburg Polytechnic University Saint Petersburg195251Russia

Electrochemical tests and surface analysis were applied to study the corrosion behavior and passive film characteristics of three-dimensional-printed NiTi shape memory alloys fabricated by laser-powder bed fusion(LPBF) in artificial saliva at 37.C. The passivity of L-PBF NiTi shows to be influenced by the process parameters and resulting morphological and physicochemical surface properties. The results show that the defects at the surface of L-PBF Ni Ti can promote the passivation rate in the early stages of exposure but a slowly formed passive film shows the best corrosion protection. The thickness of the passive film is positively correlated with its corrosion protective performance. The L-PBF NiTi alloy prepared at a linear energy density of 0.2 J·m^(-1) and volumetric energy density of 56 J·mm^(-3) shows the least defects and best corrosion protection. An outer Ti-rich and inner Ni-rich dense passive film could be also obtained showing higher corrosion resistance.

关键词： NiTi Laser-powder bed fusion(L-PBF) Passive film Corrosion resistance Artificial saliva

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A novel oxidation-resistible Mg@Ni foam material for safe,efficient,and controllable hydrogen generation

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Journal of Magnesium and Alloys 2024年第10期12卷 4063-4074页

作者： Jingru Liu Busheng Zhang Haiping Yu Tengfei Li Mingjun Hu Jun Yang Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of SciencesBeijing 101400China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of SciencesBeijing 100049China Department of Mechanical and Materials Engineering Western UniversityLondonOntarioN6A 5B9Canada School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China School of Materials Science and Engineering Beihang UniversityBeijing 100191China ShenSi Lab Shenzhen Institute for Advanced StudyUniversity of Electronic Science and Technology of ChinaShenzhen 518110China

As a promising in-situ hydrogen generation material,magnesium(Mg)has been seeking a promotion in its hydrogen generation *** the specific surface area,for example,replacing the Mg bulk using Mg powder,can greatly increase the hydrogen generation property,but it brings a high explosion risk,a difficulty in controlling the hydrogen generation,and an oxidation *** this work,we prepare a novel Mg@Ni foam material with Mg deposits on Ni foam by a physical vapor deposition *** Ni foam not only increases the hydrolysis reaction areas of Mg by improving its specific surface area,but also kinetically accelerates the hydrolysis reaction rate of Mg by forming a uniform Mg-Ni galvanic *** a result,the Mg@Ni foam material realizes a near-theoretical hydrogen generation amount of Mg and a hydrogen generation rate significantly higher than those realized by the bulk Mg-based *** Mg@Ni foam material with the excellent hydrogen generation property is also free from explosion risk,easy to be controlled,and resistible to oxidation.A hydrogen fuel cell powered by the hydrogen generated by the Mg@Ni foam material can yield a steady voltage and run a small car for a long distance.

关键词： Mg@Ni foam material Physical vapor deposition Hydrogen generation

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