Article
Chemistry, Multidisciplinary
Anuradha A. Ambalkar, Ujjwala Kawade, Yogesh A. Sethi, Sandip C. Kanade, Milind Kulkarni, Parag Adhyapak, Bharat B. Kale
Summary: A SnO2/Ni/CNT nanocomposite with excellent electrochemical performance was synthesized using a hydrothermal method, showing significantly higher initial discharge capacity compared to pristine SnO2 material and maintaining high discharge capacity after 210 cycles.
Article
Engineering, Multidisciplinary
M. N. Barshutina, S. O. Kirichenko, V. A. Wodolajsky, A. Lopachev, S. N. Barshutin, O. Gorsky, K. Deriabin, A. A. Sufianov, D. Bulgin, R. M. Islamova, A. G. Tkachev, P. E. Musienko
Summary: This communication presents a detailed description of a technology for manufacturing stretchable and biointegrated neuronal implants using carbon nanotubes and poly(dimethylsiloxane). The technology involves the fabrication of PDMS-CNT composite materials with excellent biocompatibility, biostability, tensile strength, and charge storage capacity. The implants showed high efficiency in monitoring and stimulating neuronal activity in mammals, as demonstrated by in vivo tests on laboratory animals.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Automation & Control Systems
Vicente Gerlin Neto, Cristian Guilherme Barbosa Pereira, Felipe Dias Faglioni, Carlos Alberto Fortulan, Cesar Renato Foschini
Summary: Zirconia is widely used in engineering applications, but its tetragonal stabilised phase (TZP) suffers from low fracture toughness. Recent research has focused on enhancing its toughness by adding other components to the ceramic matrix. This study produced composite materials by adding carbon nanotubes (CNTs) to a zirconia matrix and analyzed their properties. The composites showed good results, with intact CNTs and high density, but a slight loss in hardness compared to pure zirconia.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Construction & Building Technology
Oguzhan Ozturk
Summary: The study investigated the self-sensing behavior of reinforced geopolymer concrete beams produced at ambient curing with tailored electrical properties. CNT-based beams significantly enhanced load-carrying capacity and ductility compared to CB-based beams, as shown by microstructural and experimental results. This indicates that CNT-based beams are more responsive to changes in strain and applied load compared to CB-based beams.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Chemistry, Analytical
Madhumita Sinha, Samya Neogi, Rajat Mahapatra, Satheesh Krishnamurthy, Ranajit Ghosh
Summary: The study presents a composite chemiresistive sensor utilizing carbon nanotubes and zinc oxide for detecting VOCs, demonstrating unique adsorption switching phenomena and dual-mode sensor capabilities. The sensor shows selectivity towards methanol with high response values, making it a highly reproducible and high-quality sensor.
SENSORS AND ACTUATORS B-CHEMICAL
(2021)
Article
Chemistry, Physical
Laura-Madalina Cursaru, Sorina Nicoleta Valsan, Maria-Eliza Puscasu, Ioan Albert Tudor, Nicoleta Zarnescu-Ivan, Bogdan Stefan Vasile, Roxana Mioara Piticescu
Summary: Carbon nanotubes and zinc oxide were combined using an in-situ hydrothermal method under high-pressure conditions to form complex nanocomposite structures. Analysis suggested possible interactions and formation of physical bonds between CNT and ZnO. The best ZnO:CNT composition showed potential as pastes for extrusion-based 3D printing.
Article
Electrochemistry
Jeanne N'Diaye, Mohamed Elshazly, Keryn Lian
Summary: The TPPS-CNT composite material shows excellent capacitance performance and kinetics, with high cycling stability. The composite material demonstrates great potential in capacitive charge storage.
ELECTROCHIMICA ACTA
(2021)
Article
Materials Science, Multidisciplinary
Maryam Basit, Murrawat Abbas, Naeem Ahmad, Sofia Javed, Nazar Abbas Shah
Summary: Zinc oxide/carbon nanotube (ZnO/CNT) nanocomposites were prepared on gold-coated unpolished silicon substrates by vapor-liquid-solid method, and the structural, morphological, and optical properties were characterized using various techniques. The results showed high crystallinity and purity of the ZnO/CNT nanocomposites, as well as the influence of Au thickness on the structure and morphology.
FRONTIERS IN MATERIALS
(2022)
Article
Materials Science, Composites
Zihan Hu, Yu Fu, Zhiguo Hong, Yao Huang, Weihua Guo, Ruiheng Yang, Jun Xu, Limin Zhou, Sha Yin
Summary: This study explores the influence of CNT addition on the interfacial performance of high-performance composites, finding that the use of CNT can improve the stability of the fiber/matrix interface and enhance the performance of composite structural batteries.
COMPOSITES SCIENCE AND TECHNOLOGY
(2021)
Article
Nanoscience & Nanotechnology
Yaling Zhang, Shulong Chang, Ding Zhang, Sen Zhang, Lei Han, Li Ye, Rui Pang, Yuanyuan Shang, Anyuan Cao
Summary: FeS@Fe2O3/CNT composite electrodes, with a unique reciprocal overlap architecture, exhibit high reversible capacity and excellent cycling stability in lithium ion batteries, showing great potential for high-performance anodes.
Article
Electrochemistry
Qing Cui, Daniel Josef Bell, Siqi Wang, Mojtaba Mohseni, Daniel Felder, Jonas Lolsberg, Matthias Wessling
Summary: This study successfully fabricated stable and flexible PEDOT: PSS and PEDOT: PSS/CNT hollow fibers using a simple wet-spinning method, and demonstrated their catalytic activity in generating hydrogen peroxide in ORR for the first time. The composite electrodes exhibited high production rates and long-term stability.
Article
Chemistry, Physical
Xinrui Yu, Wenjing Qin, Xinxin Li, Yanli Wang, Changshun Gu, Junji Chen, Shougen Yin
Summary: Flexible conductive hydrogel sensors have attracted attention due to their stretchability, sensitivity, self-repairing capacity, and compatibility in the wearable field. Researchers have developed a highly responsive conductive hydrogel by adding silver nanoparticle modified carbon nanotubes to polyvinyl alcohol/borax hydrogel. This hydrogel exhibits excellent responsiveness to temperature and is capable of detecting changes in water temperature and hydraulic pressure.
JOURNAL OF MATERIALS CHEMISTRY A
(2022)
Article
Engineering, Mechanical
K. Vishal, K. Rajkumar, V. E. Annamalai
Summary: By introducing reinforcement particles, the performance of high functionality PEEK composites was enhanced in terms of hardness, thermal stability, and wear characteristics. Under maximum loading conditions, the friction coefficient and specific wear rate were significantly reduced, showcasing improved tribological properties.
Article
Materials Science, Multidisciplinary
Yuping Duan, Huifang Pang, Huan Zhang
Summary: Composite materials consisting of multiple components show advantages in microwave absorption, and the three-phase CNT@ZnFe2O4@ZnO composites designed in this study exhibit excellent absorption performance, with a reflection loss of -33.5 dB when the content of ZnFe2O4 is 3 mmol. The huge interfaces area and synergy of different loss mechanisms contribute to the enhanced absorption.
DIAMOND AND RELATED MATERIALS
(2021)
Article
Chemistry, Physical
Igor Bychko, Anastasiia Bazylevska, Vyacheslav Khavrus, Jianguo Tang, Peter Strizhak
Summary: A series of carbon-encapsulated Ni nanoparticles deposited on carbon nanotubes (Ni@CNT) were prepared using a simple impregnation method and characterized by physicochemical methods. The catalytic performance of Ni@CNT was found to be strongly influenced by the Ni concentration, with samples containing 1% Ni showing the highest activity in model reactions. The study demonstrates that the facile fabrication of Ni@CNT produces efficient catalysts for the hydrogenation of organic compounds using molecular hydrogen, with the catalytic properties primarily associated with the carbon surface and enhanced by the Schwab effect.
JOURNAL OF CATALYSIS
(2023)
Article
Engineering, Multidisciplinary
Tanmoy Chatterjee, Michael I. Friswell, Sondipon Adhikari, Rajib Chowdhury
Summary: This article aims to minimize computational requirements of meta-model assisted RDO by developing a global two-layered approximation technique. The approach eliminates model building and Monte Carlo simulation, demonstrating the potential to yield robust optimal solutions in real-life applications with minimal computational cost.
ENGINEERING OPTIMIZATION
(2022)
Article
Materials Science, Multidisciplinary
S. K. Singh, A. Banerjee, R. K. Varma, S. Adhikari, S. Das
Summary: This paper presents an analytical study on computing natural frequencies and in-plane deflections caused by static forces in panel walls using various theories. The study emphasizes the unique features of the Micropolar-Cosserat theory and its comparison with finite element analysis for simulating panel behavior.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Materials Science, Multidisciplinary
Sondipon Adhikari, Arnab Banerjee
Summary: A mechanical approach utilizing inertial amplifiers with cantilever piezoelectric vibration energy harvesters has been proposed to address challenges in harvesting more power from low-frequency and broadband random excitations. Optimal tuning of different parameters of the inertial amplifiers can significantly increase harvested power, allowing for five times more power to be harvested at a 50% lower frequency under harmonic excitation and ten times more power under random broadband excitation.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
(2022)
Article
Mechanics
S. Mukherjee, S. Adhikari
Summary: The paper proposes an analytical framework to analyze and quantify the elastic properties of two-dimensional hexagonal lattices with curved elements. It is found that curved beam elements significantly increase the flexibility of the lattice and expand the design space. The analytical approach and expressions provided in the paper offer an efficient framework for the analysis and design of curved lattice materials.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Mechanical
S. Adhikari, S. Chakraborty
Summary: This paper aims to develop computationally efficient methods for random eigenvalue problems arising in the dynamics of multi-degree-of-freedom systems, by projecting random eigenvectors onto the basis spanned by deterministic eigenvectors and simplifying the overall approach using an iterative technique.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Materials Science, Multidisciplinary
V Gupta, B. Bhattacharya, S. Adhikari
Summary: This study presents a lattice-based hourglass metastructure with excellent mechanical properties and energy absorption capacity. The uniaxial compressive response and energy absorption capacity of this structure were investigated through theoretical, simulation, and experimental methods. The results show that the auxetic-based hourglass structure has the highest energy absorption efficiency.
EXPERIMENTAL MECHANICS
(2022)
Article
Engineering, Mechanical
S. Adhikari, S. Mukherjee
Summary: This paper proposes an analytical method based on Castigliano's approach to obtain the exact closed-form expression of the stiffness matrix for beams with stochastic distributed parameters. It is shown that the conventional stochastic element stiffness matrix is a first-order perturbation approximation to the exact expression.
PROBABILISTIC ENGINEERING MECHANICS
(2022)
Article
Engineering, Civil
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This paper studies the optimal design of inertial amplifier base isolators (IABI) for mitigating the dynamic response of multi-storey buildings under base excitations. The H-2 optimization method is used to obtain closed-form expressions for the optimal design parameters of IABI. The effectiveness of these expressions is evaluated by comparing the frequency and time domain responses of isolated structures to those of uncontrolled structures. The results show that the response reduction capacity of the optimal inertial amplifier base isolator is increased by 50% to 60% compared to traditional base isolators.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Chemistry, Physical
Kun Zhou, Liya Wang, Ruijie Wang, Chengyuan Wang, Chun Tang
Summary: This study demonstrates through molecular dynamic simulations that graphene nanoribbons can self-assemble onto the surface of carbon nanotubes driven by van der Waals interactions, and the resulting configurations can be controlled. Particularly interestingly, twisted bilayer graphene nanoribbons can be obtained using this method.
Article
Engineering, Multidisciplinary
R. Fu, D. Xiao, I. M. Navon, F. Fang, L. Yang, C. Wang, S. Cheng
Summary: This paper presents a new NL-NIROM that outperforms the traditional POD-based ROM by using AE and self-attention based deep learning methods. It introduces a new model reduction neural network architecture for fluid flow problems and a L-NIROM based on POD and self-attention mechanism. In the NL-NIROM, the SAE network compresses high-dimensional physical information into smaller sized representations and uses self-attention based deep learning methods to predict fluid dynamics.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Mechanical
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This paper introduces a method of combining negative stiffness devices with inerters to traditional base isolators and tuned mass dampers. The optimal design parameters of these novel passive vibration dampers are derived using H2 and H & INFIN; optimization methods. The results show that the optimized negative stiffness inerter-based base isolators and tuned mass dampers outperform traditional base isolators and tuned mass dampers in terms of dynamic response reduction capacity.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Acoustics
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This paper introduces the inertial amplifier viscoelastic tuned mass dampers (IAVTMD) and presents the mathematical formulations for optimal design parameters. The dynamic response reduction capacity of IAVTMD is significantly superior to conventional tuned mass dampers, with an improvement ranging from 20.87% to 26.47% for H-2 optimization and 15.48% for H-8 optimization. In addition, the optimized IAVTMD outperforms tuned mass damper inerters (TMDI) with improved dynamic response reduction capacity by 6.94% for H-2 optimization and 23.29% for H-8 optimization. The closed-form expressions for optimal design parameters are effective for practical applications.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Mechanics
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This article introduces the concepts of additional inerter-based viscoelastic mass dampers (AIVMD) and additional viscoelastic mass damper inerters (AVMDI). H-2 and H-infinity optimization schemes are used to derive the optimal closed-form solutions for these dampers analytically. A parametric study is conducted to investigate the sensitivity of the optimal design parameters with other system parameters. The results suggest that higher damper mass ratio, inerter mass ratio, and stiffness ratio are recommended for designing optimal novel dampers with robust vibration reduction capacities.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Engineering, Civil
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This paper introduces the design of negative stiffness inerter-based base isolators, which enhance the dynamic response reduction capacity of conventional base isolators by installing negative stiffness devices and inerters. These novel isolators have been installed at the base of multi-storey buildings to mitigate their dynamic responses during vibration.
Article
Biochemistry & Molecular Biology
Siyi Liu, Liya Wang, Jun Xia, Ruijie Wang, Chun Tang, Chengyuan Wang
Summary: The ultimate goal in seawater desalination is to explore new reverse osmosis (RO) membranes that break the trade-off between permeability and selectivity. Nanoporous monolayer graphene (NPG) and carbon nanotube (CNT) channels have been proposed as promising candidates for this purpose. Molecular dynamics simulations reveal that as the thickness of CNT increases, the water flux diminishes but the ion rejection rate increases, resulting in optimal desalination performance at a certain thickness. This study provides insights into the molecular mechanisms of thickness-dependent desalination performance and can guide the design and optimization of new desalination membranes.
Article
Physics, Multidisciplinary
Tinggui Chen, Baizhan Xia, Dejie Yu, Chuanxing Bi
Summary: This study proposes a gradient phononic crystal structure for enhanced acoustic sensing. By breaking the symmetry of the PC structure, topologically protected edge states are introduced, resulting in topological acoustic rainbow trapping. The robustness and enhancement properties are verified numerically and experimentally.
