Recent Advances in 2D Wearable Flexible Sensors

Aftab, Sikandar; Al‐Kahtani, Abdullah A.; Iqbal, Muhammad Zahir; Hussain, Sajjad; Koyyada, Ganesh

doi:10.1002/admt.202202168

Cited by 9 publications

(8 citation statements)

References 107 publications

(133 reference statements)

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“…This control allows for efficient modulation of 2D material integrals for optimizing EDL performance in applications ranging from biosensors, flexible electronics to lowpower devices. 50,55,56…”

Section: Applications Of Electric Field Induced Ion Migrationmentioning

confidence: 99%

“…With unique properties like piezoelectricity, spin injection, and strong polarization, functional oxides offer the potential to manipulate the band gap of these materials, enabling the creation of cooperative devices with new features. This control allows for efficient modulation of 2D material integrals for optimizing EDL performance in applications ranging from biosensors, flexible electronics to low-power devices. ,, …”

Section: Applications Of Electric Field Induced Ion Migrationmentioning

confidence: 99%

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Electric Field Induced Ion Migration and Property Tuning in Functional Oxides

Fayaz,

Wang,

Liang

et al. 2024

Acc. Mater. Res.

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Metrics & MoreArticle Recommendations * sı Supporting Information CONSPECTUS: The manipulation of functional oxide materials' properties through energy-efficient means is of great importance in materials science. Electric field-driven ionic control of functional oxides presents a versatile and effective approach for tailoring material properties, including insulator−metal transitions, superconductivity, magnetism, and optical characteristics, through spin, orbit, charge, and lattice degrees of freedom. This approach introduces a dynamic means of tuning these properties, allowing for real-time adjustments through external stimuli such as electric fields. The ability to modify material characteristics through ionic means is promising for both scientific exploration and practical applications, owing to its energy efficiency and compatibility with room temperature operation. Traditionally, this was primarily explored for energy storage applications, but it has now found broad utility in optoelectronics, nanoelectronic memory, and computing. Controlling charge carriers is a pivotal aspect of advancing the electronic functionalities of oxide materials. The substantial accumulation of charge carriers via electric field-induced electric double layers at oxide−electrolyte interfaces prompts extremely large electric fields, leading to different phenomena such as chemical reactions, phase transitions, and magnetic ordering. The mechanisms involved in electric field-controlled ionic motion using ionic liquids and gels range from primarily electrostatic to completely electrochemical. The electrostatic effect involves the induction of electrons or holes, and ionic motion is specific to the electrolyte side of the interface. In contrast, the electrochemical effect involves ionic motion occurring on both sides of the interface and across it. Through the application of electric fields, the insertion or extraction of ions in functional oxide materials enables the control of various phases and properties. In the electrostatic mechanism, carrier density modulation is primarily driven by band bending, whereas the electrochemical mechanism can completely reshape electronic band structures due to exceptionally high carrier densities. The electrolyte nature and target material properties significantly influence both the electrostatic and electrochemical effects. Recent advancements in characterization techniques and theoretical simulations have improved our understanding of the gating mechanisms in various material systems.In this Account, we provide a concise summary of recent advancements in manipulating the properties of various transition metal oxide material systems using electrolyte-based ionic motion through an electric field. We begin by exploring the detailed mechanisms that underlie how electric field gating can bring about substantial changes in the material properties. These changes encompass alterations in crystal and electronic structures as well as modifications in electrical, optical, and magnetic properties. Additionall...

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Section: Applications Of Electric Field Induced Ion Migrationmentioning

confidence: 99%

Section: Applications Of Electric Field Induced Ion Migrationmentioning

confidence: 99%

Electric Field Induced Ion Migration and Property Tuning in Functional Oxides

Fayaz,

Wang,

Liang

et al. 2024

Acc. Mater. Res.

View full text Add to dashboard Cite

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“…These devices will also be able to display essential parameters (such as facial expressions, voice recognition, heart rate and heartbeat) on cell phones in the real. 226 In-sensor ML models were used to manufacture wearable Ti 3 C 2 T x MXene sensor modules that could operate through wireless streaming or edge computing. These modules were intended for classifying fullbody movements and reconstructing avatars.…”

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

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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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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“…Wearable pressure sensors with capability of distinguishing synergistic force perception have attracted great interests in * Authors to whom any correspondence should be addressed. kinds of human-machine interaction applications, like smart phones, healthcare monitoring, and electronic skins [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A soft tactile sensing array with high sensitivity based on MWCNTs-PDMS composite of hierarchically porous structure

Yu,

Yao,

Lin

et al. 2023

Smart Mater. Struct.

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The advancement of wearable tactile sensors that involves with high sensitivity under ultra-low pressures is crucial for varieties of human-machine interactive applications, like smart phones, healthcare monitoring, and electronic skins. Here in this paper, a soft capacitive tactile sensing array is introduced based on hierarchically porous multi-walled carbon nanotubes (MWCNTs)-polydimethylsiloxane composite, which leads to sensitivity improvement attributing to a synergistic effect of the hierarchically porous elastomer and conductive MWCNTs supplements. The proposed device exhibits superior pressure-sensing performances, with high sensitivity (3.58 kPa−1) under small mechanical stimuli (<80 Pa), broad measuring range (0–265 kPa), fast response time (<45 ms), good repeatability, minimum limit of detection (<10 Pa), as well as low-hysteresis, allowing efficient sensing of pressure from all types of sources, from vulnerable signals such as human breathing, artery and venous pulses, and soft human finger touch to possible brutal variations such as sudden change of object weight or prompt collide. Moreover, extensive body attached experiments confirm that the soft tactile sensing array is fully human compatible and capable for a variety of human-machine interfaces and health monitoring applications.

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Recent Advances in 2D Wearable Flexible Sensors

Cited by 9 publications

References 107 publications

Electric Field Induced Ion Migration and Property Tuning in Functional Oxides

Electric Field Induced Ion Migration and Property Tuning in Functional Oxides

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

A soft tactile sensing array with high sensitivity based on MWCNTs-PDMS composite of hierarchically porous structure

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