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Photocatalytic bio-inspired PDA-RGO/g-C3N4 nanocomposite incorporated PES membrane for removal of environmental antibiotic pollutants

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Journal of Chemical Technology and Biotechnology 2024年第6期99卷 1401-1413页

作者： Govardhanan, B. GokulaKrishnan, S.A. Arthanareeswaran, G. Ashok, M. Chen, Yong-Song Taweepreda, W. Membrane Research Laboratory Department of Chemical Engineering National Institute of Technology Tiruchirappalli Tiruchirappalli India New Generation Materials lab Department of Physics National Institute of Technology Tiruchirappalli Tiruchirappalli India Department of Mechanical Engineering and Advanced Institute of Manufacturing with High-tech Innovations National Chung Cheng University Chiayi County Taiwan Polymer Science Program Division of Physical Science Faculty of Science Prince of Songkla University Hat-Yai Thailand

BACKGROUND: Membrane technology makes it more suitable for the treatment of environmental polluted organic wastewater. Membrane fouling is one of the major concerns in commercial membranes. To overcome this issue, photocatalytic nanomaterials are embedded into the membrane to enhance its surface nature and reusability. In this investigation, polydopamine functionalized graphene oxide (PDA-RGO), graphite carbon nitride (g-C3N4) and PDA-RGO/g-C3N4 nanomaterials were incorporated within polyethersulfone membrane fabricated via a phase inversion technique. These as-prepared membranes’ functional groups and surface morphologies were investigated by Fourier transform infrared (FTIR) spectroscopy, atomic force microscopy (AFM) and field emission electron microscopy (FESEM). These as-prepared membranes were investigated for photocatalytic activity under visible-light-driven photodegradation by environmental pollutants such as Rhodamine B (RhB) and Norfloxacin (NOR). RESULTS: Compared with pristine PES membrane, the PDA-RGO/g-C3N4-PES nanocomposite membrane showed higher photocatalytic activity for Rhodamine B 94.6% and Norfloxacin 96.8%, also reached greater water flux 189 L m−2 h−1. Therefore, the bio-inspired nanocomposite-modified PDA-RGO/g-C3N4 photocatalytic membrane could have huge potential in processing environmentally polluted water. CONCLUSIONS: PDA-RGO/g-C3N4-PES nanocomposite membrane improved the membrane hydrophilicity, water flow, anti-fouling performance, rejection studies and photocatalytic degradation than the pristine membrane. The synergistic result of PDA-RGO and g-C3N4 exhibits better photodegradation efficiency of the membrane towards environmental pollutants. © 2024 Society of Chemical Industry (SCI). © 2024 Society of Chemical Industry (SCI).

关键词： Nanocomposites

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Evaluation of temperature dependent vortex pinning properties in strongly pinned YBa_(2)Cu_(3)O_(7-δ)thin films with Y_(2)BaCuO_(5)nanoinclusions

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Superconductivity 2024年第1期9卷 95-105页

作者： Alok K.Jha Kaname Matsumoto Tomoya Horide Shrikant Saini Ataru Ichinose Paolo Mele Yutaka Yoshida Satoshi Awaji Department of Materials Science and Engineering Kyushu Institute of TechnologyTobata-kuKitakyushu 804-8550Japan Department of Mechanical and Control Engineering Kyushu Institute of TechnologyTobata-kuKitakyushu 804-8550Japan Central Research Institute of Electrical Power Industry YokosukaKanagawa 240-0196Japan College of Engineering-Innovative Global Program Shibaura Institute of TechnologyMinuma-kuSaitama 337-8570Japan Department of Energy Engineering and Science Nagoya UniversityChikusa-kuNagoya 464-8603Japan Institute for Materials Research Tohoku UniversityAoba-kuSendai 980-8577Japan

The pinning of quantized magnetic vortices in superconducting YBa_(2)Cu_(3)O_(7-δ)(YBCO or Y123)thin films with Y_(2)BaCuO_(5)(Y211)nanoinclusions have been investigated over wide temperature range(4.2-77 K).The concentration of Y211 nanoinclusions has been systematically varied inside YBCO thin films prepared by laser ablation technique using surface modified target *** pinning force density values(Fp∼0.5 TNm^(−3)at 4.2 K,9 T)have been observed for the YBCO film with moderate concentration of Y211 nanoinclusions(3.6 area%on ablation target).In addition,uniform enhancement in critical current density(J_(c))was observed in the angular dependent J_(c)measurement of YBCO+Y211 nanocomposite films.Y211 nanoinclusions have been found to be very efficient in pinning the quantized vortices thereby enhancing the in‐field J_(c)values over a wide range of *** the concentration of Y211 secondary phase into Y123 film matrix results into agglomeration of Y211 phase and observed as increased Y211 nanoparticle *** larger secondary phase nanoparticles are not as efficient pinning centers at lower temperatures as they are at higher temperatures due to substantial reduction of the coherence length at lower *** of the temperature dependence of J_(c)for YBCO+Y211 nanocomposite films has been conducted and possible vortex pinning mechanism in these nanocomposite films has been discussed.

关键词： YBCO thin film Critical current Vortex pinning Nanoscale APCs

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Convenient room-temperature synthesis of sulfur and nitrogen co-doped NiCo-LDH coupled with CNTs on NiCo foam as battery-type electrode for high performance hybrid supercapacitor

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Rare Metals 2024年第9期43卷 4286-4301页

作者： Li Song Xiao-Hong Zhong Fang-Lin Wang Zhi-Hui Huang Zhe Hong Yun-Fang Gao Hai-Dong Wang Jian-Wei Ren Sheng-Jie Peng Lei Li College of Biological Chemical Sciences and EngineeringJiaxing UniversityJiaxing 314001China College of Chemical Engineering Zhejiang University of TechnologyHangzhou 310014China College of Materials Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 210016China Research and Development Department Jiangxi Ganfeng LiEnergy Technology Co.Ltd.Xinyu 338000China Department of Mechanical Engineering Science University of JohannesburgAuckland ParkJohannesburg 2092South Africa

The convenient synthesis of the composite electrode with high supercapacitance performance plays an important role in practical application but is ***,the carbon nanotubes(CNTs)coupled with lowcrystalline sulfur and nitrogen co-doped Ni Co-LDH(denoted as SN-Ni Co-LDH)nanosheets array are grown on Ni Co foam(NCF)substrate by two convenient steps of metal induced self-assembly and corrosion engineering,which present the advantages of operating at roomtemperature and low preparation *** from the S–N co-doping and low-crystallinity of Ni Co-LDH,the prepared SN-Ni Co-LDH@CNTs@NCF electrode presents a topping charge capacity of 2470 C·g^(-1)(4.94 C·cm^(-2))at 5 m A·cm^(-2).Furthermore,the fabricated asymmetry supercapacitor(ASC)achieves an extraordinary energy density of 77 Wh·kg^(-1)(0.617 m Wh·cm^(-2))at a power density of 438 W·kg^(-1)(3.5 m W·cm^(-2))and outstanding stability(91%capacity retention after 5000 cycles at20 m A·cm^(-2)).Impressively,the structure evolution of Ni Co-LDH during the charge/discharge processes has been thoroughly elucidated by in-situ Raman ***,this work verifies a powerful strategy and practical value for preparing composite electrodes with high supercapacitance performance,and also provides guidance for the rational design of the smart electrodes.

关键词： Supercapacitor NiCo-LDH Carbon nanotubes Sulfur and nitrogen co-doped Convenient synthesis

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Achieving high ductility and strength in magnesium alloy through cryogenic-hot forming

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Journal of Magnesium and Alloys 2023年第9期11卷 3130-3140页

作者： Kai Zhang Zhutao Shao Joseph Robson Yan Huang Jinghua Zheng Jun Jiang Department of Mechanical Engineering Imperial College LondonLondon SW72AZUK Department of Mechanical Engineering University College LondonLondon WC1E 7JEUK Department of Materials The University of ManchesterManchester M13BBUK BCAST Institute of Materials and ManufacturingBrunel University LondonUxbridge UB83PHUK College of Material Science and Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China

Magnesium alloys are the lightest structural alloys and have attracted substantial research attention in the past two decades. However, their mechanical properties, including ductility and strength, are limited after forming due to the formation of coarse grains and strong texture. This study proposes and proves a new cryogenic-hot forming process concept. Cryogenic deformation is imposed before the hot deformation. The effect of the cryogenic step has been compared with a conventional direct hot deformation process. The mechanical properties, microstructure,and texture of both the novel and conventional process routes have been compared. The cryogenic-hot deformed sample exhibits the highest ductility and fracture strength(ultimate tensile strength: 321 MPa, ductility: 21%) due to effective grain refinement and texture weakening by cryogenically formed twin-twin interaction induced recrystallisation. The proposed cryogenic-hot forming process can be a potential innovative manufacturing method for producing high-performance magnesium components.

关键词： Magnesium alloys Dynamic recrystallisation Twinning Cryogenic deformation

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Double-kill contribution of high-roughness high-density porous carbon electrodes to mechanically self-sensing supercapacitors

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Nano Research 2024年第7期17卷 6157-6167页

作者： Jue Huang Pengyu Liu Yiqun Wang Keren Dai Qingyun Dou Yajiang Yin Xiaofeng Wang Zheng You Department of Precision Instrument Tsinghua UniversityBeijing 100084China State Key Laboratory of Precision Measurement Technology and Instruments Beijing 100084China Department of Materials Science and Engineering Sun Yat-Sen UniversityGuangzhou 510275China ZNDY of Ministerial Key Laboratory School of Mechanical EngineeringNanjing University of Science and TechnologyNanjing 210094China Qiyuan Laboratory Beijing 100095China

Impact detecting and counting are fundamental functions of fuses used in hard target penetration ***,detection failure caused by battery breakdown in high-g acceleration environments poses a vulnerability for such *** paper introduces a novel supercapacitor that combines energy storage and high-g impact detection,called self-sensing *** deliberately inducing a transient soft short-circuit during shock in the supercapacitor,it is possible to detect external impact by its transient voltage *** realize this concept,firstly,by introducing the contact theory and force-induced percolation model,the electrode strength and roughness are found to have key impacts on the formation of soft ***,to meet the needs for sensitivity and capacity,a high-density porous carbon(HDPC)that combines high mechanical strength and porosity,is selected as a suitable candidate based on the analysis ***,a two-step curing method is proposed to prepare the high-roughness HDPC(HRHDPC)electrode and to assemble the self-sensing *** to the rich specific surface of the electrodes and the high surface strength and roughness conducive to the formation of transient soft short circuits,the self-sensing supercapacitor not only possesses an excellent specific capacitance(171 F/g at 0.5 A/g)but also generates significant voltage response signals when subjected to high-g impacts ranging from 8000g to 31,***,the self-sensing supercapacitor is applied to compose a successive high-g impact counting system and compared to traditional solutions(sensors and tantalum capacitors)in the military *** results show that the self-sensing supercapacitor-based system exhibits advantages in terms of size,power consumption,and counting accuracy.

关键词： supercapacitor self-sensing soft short-circuit impact sensing

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Crystal twins:self-supervised learning for crystalline material property prediction

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npj Computational materials 2022年第1期8卷 2210-2217页

作者： Rishikesh Magar Yuyang Wang Amir Barati Farimani Department of Mechanical Engineering Carnegie Mellon UniversityPittsburghPA15213USA Department of Materials Science and Engineering Carnegie Mellon UniversityPittsburghPA15213USA Department of Chemical Engineering Carnegie Mellon UniversityPittsburghPA15213USA

Machine learning(ML)models have been widely successful in the prediction of material ***,large labeled datasets required for training accurate ML models are elusive and computationally expensive to *** advances in Self-Supervised Learning(SSL)frameworks capable of training ML models on unlabeled data mitigate this problem and demonstrate superior performance in computer vision and natural language *** inspiration from the developments in SSL,we introduce Crystal Twins(CT):a generic SSL method for crystalline materials property prediction that can leverage large unlabeled *** adapts a twin Graph Neural Network(GNN)and learns representations by forcing graph latent embeddings of augmented instances obtained from the same crystalline system to be *** implement Barlow Twins and SimSiam frameworks in *** sharing the pre-trained weights when fine-tuning the GNN for downstream tasks,we significantly improve the performance of GNN on 14 challenging material property prediction benchmarks.

关键词： prediction property crystalline

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Deuterium distribution and behavior of blisters in pre-damaged and undamaged tungsten

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Tungsten 2024年第3期6卷 647-656页

作者： Cong Li Xiao-Wa Wang Ran-Ran Su Xuan-Xin Hu Shu-Guang Wei Han-Jun Tu Li-Qun Shi Hong-Liang Zhang Key Laboratory of Nuclear Physics and Ion-Beam Application Institute of Modern PhysicsFudan UniversityShanghai 200433China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Materials Science and Engineering University of WisconsinMadison WI 53706USA

Tungsten(W),as a plasma-facing material,is subjected to high fluence plasma,resulting in both radiation damage and deuterium(D)*** study explores the blistering behavior and D supersaturated layers in both pre-damaged and undamaged W *** achieve a uniform damage profile similar to neutron irradiation,carbon(C)ions with multiple energies and angles were *** samples were further irradiated with low-energy D ions under two fluences at temperatures from~380 to 640 *** various experimental techniques,we found that pre-damaged W samples can effectively suppress the formation of blistering and lower the threshold temperature at which the surface remains free of *** also observed the prominent D supersaturated peaks within the depth of 20 nm in both pre-damaged and undamaged ***,a close correlation between blistering and the D supersaturation was *** results suggest that neutron irradiation in the fusion reactors could increase the critical D concentration for blistering,while a greater depth of damage facilitated the inward diffusion of D,thereby reducing the D concentration gradient and alleviating surface blistering.

关键词： Tungsten Deuterium Supersaturated layer Blister Ion irradiation Pre-damage

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Building the conformal protection of VB-group VS_(2)laminated heterostructure based on biomass-derived carbon for excellent broadband electromagnetic waves absorption

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Journal of Materiomics 2023年第3期9卷 492-501页

作者： Honghan Wang Huibin Zhang Junye Cheng Tingting Liu Deqing Zhang Guangping Zheng Shangru Zhai Maosheng Cao School of Materials Science and Engineering Qiqihar UniversityQiqihar161006China Liaoning Key Lab of Lignocellulose Chemistry and BioMaterials Liaoning Collaborative Innovation Center for Lignocellulosic BiorefineryCollege of Light Industry and Chemical EngineeringDalian Polytechnic UniversityDalian116034China Department of Materials Science Shenzhen MSU-BIT UniversityShenzhenGuangdong Province517182China School of Materials Science and Engineering Beijing Institute of TechnologyBeijing100081China Department of Mechanical Engineering Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina

Although VB-Group transition metal disulfides(TMDs)VS_(2)nanomaterials with specific electronic properties and multiphase microstructures have shown fascinating potential in the field of electro-magnetic wave(EMW)absorption,the efficient utilization of VS_(2)is limited by the technical bottleneck of its narrow effective absorption bandwidth(EAB)which is attributed to environmental instability and a deficient electromagnetic(EM)loss *** order to fully exploit the maximal utilization values of VS_(2)nanomaterials for EMW absorption through mitigating the chemical instability and optimizing the EM parameters,biomass-based glucose derived carbon(GDC)like sugar-coating has been decorated on the surface of stacked VS_(2)nanosheets via a facile hydrothermal method,followed by high-temperature *** a result,the modulation of doping amount of glucose injection solution(Glucose)could effectively manipulate the encapsulation degree of GDC coating on VS_(2)nanosheets,further imple-menting the EM response mechanisms of the VS_(2)/GDC hybrids(coupling effect of conductive loss,interfacial polarization,relaxation,dipole polarization,defect engineering and multiple reflections and absorptions)through regulating the conductivity and constructing multi-interface heterostructures,as reflected by the enhanced EMW absorption performance to a great *** minimum reflection loss(Rmin)of VS_(2)/GDC hybrids could reach52.8 dB with a thickness of 2.7 mm at 12.2 ***,compared with pristine VS_(2),the EAB of the VS_(2)/GDC hybrids increased from 2.0 to 5.7 GHz,while their environmental stability was effectively enhanced by virtue of GDC ***,this work provides a promising candidate to realize frequency band tunability of EMW absorbers with exceptional perfor-mance and environmental stability.

关键词： VS_(2)/GDC hybrids Multi-interface heterostructures Broadband absorption Environmental stability

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Uncovering material deformations via machine learning combined with four-dimensional scanning transmission electron microscopy

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npj Computational materials 2022年第1期8卷 1072-1080页

作者： Chuqiao Shi Michael C.Cao Sarah M.Rehn Sang-Hoon Bae Jeehwan Kim Matthew RJones David A.Muller Yimo Han Department of Materials Science and NanoEngineering Rice UniversityHoustonTXUSA School of Applied and Engineering Physics Cornell UniversityIthacaNYUSA Department of Chemistry Rice UniversityHoustonTXUSA Department of Mechanical Engineering and Materials Science Washington University in Saint LouisSaint LouisMOUSA Institute of Materials Science and Engineering Washington University in Saint LouisSaint LouisMOUSA Department of Mechanical Engineering Massachusetts Institute of TechnologyCambridgeMAUSA Kavli Institute for Nanoscale Science Cornell UniversityIthacaNYUSA

Understanding lattice deformations is crucial in determining the properties of nanomaterials,which can become more prominent in future applications ranging from energy harvesting to electronic ***,it remains challenging to reveal unexpected deformations that crucially affect material properties across a large sample ***,we demonstrate a rapid and semi-automated unsupervised machine learning approach to uncover lattice deformations in *** method utilizes divisive hierarchical clustering to automatically unveil multi-scale deformations in the entire sample flake from the diffraction data using four-dimensional scanning transmission electron microscopy(4D-STEM).Our approach overcomes the current barriers of large 4D data analysis without a priori knowledge of the *** this purely data-driven analysis,we have uncovered different types of material deformations,such as strain,lattice distortion,bending contour,etc.,which can significantly impact the band structure and subsequent performance of nanomaterials-based *** envision that this data-driven procedure will provide insight into materials’intrinsic structures and accelerate the discovery of materials.

关键词： utilize purely overcome

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Composition and state prediction of lithium-ion cathode via convolutional neural network trained on scanning electron microscopy images

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npj Computational materials 2024年第1期10卷 2337-2345页

作者： Jimin Oh Jiwon Yeom Benediktus Madika Kwang Man Kim Chi Hao Liow Joshua C.Agar Seungbum Hong Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Korea ICT Creative Laboratory Electronics and Telecommunications Research Institute(ETRI)218 Gajeong-roYuseong-guDaejeon 34129Korea Department of Mechanical Engineering and Mechanics Drexel University3141 Chestnut StreetPhiladelphiaPA 19104USA KAIST Institute for NanoCentury(KINC) Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Korea Department of Smart Mobility Engineering Advanced Institute of Science and TechnologyKyungpook National UniversityDaegu 41566Korea

High-throughput materials research is strongly required to accelerate the development of safe and high energy-density lithium-ion battery(LIB)applicable to electric vehicle and energy storage *** artificial intelligence,including machine learning with neural networks such as Boltzmann neural networks and convolutional neural networks(CNN),is a powerful tool to explore next-generation electrode materials and functional additives.

关键词： neural networks artificial

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