Advancements in MXene-based composites for electronic skins

Iravani, Siavash; Rabiee, Navid; Makvandi, Pooyan

doi:10.1039/d3tb02247a

Cited by 11 publications

(4 citation statements)

References 131 publications

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“…The output line shows the expected output of the ANN model, while the input lines are used to define the input parameters. Virtual reality interfaces and healthcare monitoring like E-skin are just a couple of the additional features and applications that may be unlocked by integrating MXenes with cutting-edge technology like AI and the IoT . A biosensor with prediction capability was presented by Parmar et al is in a different study where Mycobacterium tuberculosis is detected via a label-free refractive index sensor based on graphene that employs an ML technique.…”

Section: Integration Of 2d Materials and ML For Real-world Applicationsmentioning

confidence: 99%

“…Nano Mater. XXXX, XXX, XXX−XXX healthcare214 A biosensor with prediction capability was presented by Parmar et al215 is in a different study where Mycobacterium tuberculosis is detected via a label-free refractive index sensor based on graphene that employs an ML technique. The biosensor's sensitivity was increased by analysis of many factors, including angle of incidence, resonator, and substrate thickness.…”

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confidence: 99%

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Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Das,

Mazumdar,

Khondakar

et al. 2024

ACS Appl. Nano Mater.

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materials have shown a dramatic increase in use in recent years due to their exceptional characteristics, which make them perfect for a wide range of sensing applications. However, achieving optimal sensing performance in 2D material-based sensors often poses challenges owing to material limitations and environmental factors. The combination of machine learning (ML) algorithms with 2D materials offers a way to maximize selectivity, sensitivity, and overall sensor dependability. This study starts by looking at the basic characteristics of many 2D materials and their uses in sensing, such as graphene and transition metal dichalcogenides (TMDs). It then explores the difficulties encountered by conventional sensing techniques and shows how ML techniques overcome these difficulties. A thorough examination of the various ML methods used with 2D materials is provided, along with an explanation of their functions in data processing, pattern identification, and real-time adaptive sensing. This paper also discusses how ML might lead to better performance measures including lower false positive rates and higher accuracy. Comprehensive analysis is done on case studies that demonstrate effective implementations in many sensing domains, such as industrial applications, environmental monitoring, and healthcare. In conclusion, this article discusses prospects for the future, highlighting how ML-assisted 2D materials-based sensors are developing and how they might transform sensing technologies in a variety of fields.

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Section: Integration Of 2d Materials and ML For Real-world Applicationsmentioning

confidence: 99%

mentioning

confidence: 99%

Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Das,

Mazumdar,

Khondakar

et al. 2024

ACS Appl. Nano Mater.

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“…This resulted in increased strength and toughness. The MXene with the size refinement showed increased energy density and power density of the supercapacitors [69,70]. Mechanical performance will affect the electrode's electrochemical performance, especially in future applications, where the electrode of flexible electronic devices will be subjected to stress, bending, and twisting.…”

Section: Mechanical Flexibilitymentioning

confidence: 99%

Structure, Properties, and Preparation of MXene and the Application of Its Composites in Supercapacitors

Sun,

Ye,

Zhang

et al. 2024

Inorganics

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Two-dimensional transition metal carbides/nitrides (MXenes) are emerging members of the two-dimensional material family, obtained by removing the A layer of the MAX phase through methods such as liquid-phase etching. This article summarizes the structure and properties of MXenes, as well as several preparation methods, including etching with hydrofluoric acid and fluoride salts, alkali-based etching, electrochemical etching, Lewis acid molten salt etching, and direct synthesis. Due to their unique two-dimensional structure and surface chemistry, MXenes exhibit good metallic conductivity, hydrophilicity, excellent flexibility, and ion intercalation properties, showing great potential in the research and application of supercapacitors and attracting widespread attention. The combination of MXene with other types of materials, including polymers, metal hydroxides, metal oxides, and carbon materials, takes advantage of composites to improve energy storage performance and shows great potential in the research and application of supercapacitors. This article provides a detailed summary of MXene composite materials and capacitor performance and introduces the research progress of MXene materials in the field of supercapacitor energy storage applications, aiming to provide references for the preparation of high-performance MXene supercapacitor electrode materials.

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“…The rise of fields such as electronic skin − and wearable bioelectronics , has highlighted the growing importance of flexible and stretchable strain sensors. These sensors are recognized for their valuable attributes, such as high stretchability, repeatability, low power consumption, and rapid response times. , Consequently, they are utilized in various sectors, including human health monitoring, − thereby making notable contributions to advancements in this field.…”

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confidence: 99%

Bioinspired High-Linearity, Wide-Sensing-Range Flexible Stretchable Bioelectronics Based on MWCNTs/GR/Nd₂Fe₁₄B/PDMS Nanocomposites for Human-Computer Interaction and Biomechanics Detection

Zhang,

Yan,

Zhang

et al. 2024

ACS Sens.

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In recent years, flexible and stretchable strain sensors have emerged as a prominent area of research, primarily due to their remarkable stretchability and extremely low strain detection threshold. Nevertheless, the advancement of sensors is currently constrained by issues such as complexity, high costs, and limited durability. To tackle the aforementioned issues, this study introduces a lepidophyte-inspired flexible, stretchable strain sensor (LIFSSS). The stretchable bioelectronics composites were composed of multiwalled carbon nanotubes, graphene, neodymium iron boron, and polydimethylsiloxane. Unique biolepidophyted microstructures and magnetic conductive nanocomposites interact with each other through synergistic interactions, resulting in the effective detection of tensile strain and magnetic excitation. The LIFSSS exhibits a 170% tensile range, a linearity of 0.99 in 50−170% strain (0.96 for full-scale range), and a fine durability of 7000 cycles at 110% tensile range. The sensor accurately detects variations in linear tensile force, human movement, and microexpressions. Moreover, LIFSSS demonstrates enhanced efficacy in sign language recognition for individuals with hearing impairments and magnetic grasping for robotic manipulators. Hence, the LIFSSS proposed in this study shows potential applications in various fields, including bioelectronics, electronic skin, and physiological activity monitoring.

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Advancements in MXene-based composites for electronic skins

Abstract: MXenes are a class of two-dimensional (2D) materials that have gained significant attention in the field of electronic skins (E-skins). MXene-based composites offer several advantages for E-skins, including high electrical...

Cited by 11 publications

References 131 publications

Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Structure, Properties, and Preparation of MXene and the Application of Its Composites in Supercapacitors

Bioinspired High-Linearity, Wide-Sensing-Range Flexible Stretchable Bioelectronics Based on MWCNTs/GR/Nd₂Fe₁₄B/PDMS Nanocomposites for Human-Computer Interaction and Biomechanics Detection

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Advancements in MXene-based composites for electronic skins

Abstract: MXenes are a class of two-dimensional (2D) materials that have gained significant attention in the field of electronic skins (E-skins). MXene-based composites offer several advantages for E-skins, including high electrical...

Cited by 11 publications

References 131 publications

Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Structure, Properties, and Preparation of MXene and the Application of Its Composites in Supercapacitors

Bioinspired High-Linearity, Wide-Sensing-Range Flexible Stretchable Bioelectronics Based on MWCNTs/GR/Nd2Fe14B/PDMS Nanocomposites for Human-Computer Interaction and Biomechanics Detection

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Product

Resources

About

Bioinspired High-Linearity, Wide-Sensing-Range Flexible Stretchable Bioelectronics Based on MWCNTs/GR/Nd₂Fe₁₄B/PDMS Nanocomposites for Human-Computer Interaction and Biomechanics Detection