Fiber-Based Ratiometric Optical Thermometry with Silicon Vacancy in Microdiamonds DOI Open Access
Md. Shakhawath Hossain, Miguel Bacaoco,

Thị Ngọc Ánh

et al.

ACS Applied Optical Materials, Journal Year: 2023, Volume and Issue: 2(1), P. 97 - 107

Published: Dec. 28, 2023

Fiber optic all-optical thermometry is a promising technology to track temperature at microscale while designing efficient and reliable microelectronic devices components. In this work, we demonstrate real-time ratiometric fiber technique based on silicon-vacancy diamond that shows excellent resolution spatial resolution. Instead of analyzing the spectral features temperature-dependent SiV signal coming from microdiamond fixed tip, an alternative parallel detection method filtering optics photon counters proposed read out sample in real-time. The collection efficiency also investigated numerically with semianalytic ray-optical analysis then compared our experimental study. We finally performance thermosensor by monitoring distinct locations lab-built graphite-based microheater device. Our work introduces reconfigurable for microelectronic, microfluidic devices, or biological environments unlocks direction fiber-based research.

Language: Английский

New developments in gas sensing using various two-dimensional architectural designs DOI
Sikandar Aftab, Muhammad Zahir Iqbal, Sajjad Hussain

et al.

Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 469, P. 144039 - 144039

Published: June 11, 2023

Language: Английский

Citations

45

Laser-Induced Graphene for Advanced Sensing: Comprehensive Review of Applications DOI
Sikandar Aftab, Ganesh Koyyada, Maria Mukhtar

et al.

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4536 - 4554

Published: Sept. 16, 2024

Laser-induced graphene (LIG) and Laser-scribed (LSG) are both advanced materials with significant potential in various applications, particularly the field of sustainable sensors. The practical uses LIG (LSG), which include gas detection, biological process monitoring, strain assessment, environmental variable tracking, thoroughly examined this review paper. Its tunable characteristics distinguish is developed from accurate laser beam modulation on polymeric substrates, they essential advancing sensing technologies many applications. recent advances applications energy storage, biosensing, electronics by steadily efficiency versatility. remarkable flexibility its transformative regard to sensor manufacturing utilization highlighted manuscript. Moreover, it examines fabrication methods used production, highlighting precision adaptability. This navigates difficulties that encountered implementing sensors looks ahead future developments will propel industry forward. paper provides a comprehensive summary latest research elucidates innovative material's elements.

Language: Английский

Citations

11

A Flexible and Stretchable MXene/Waterborne Polyurethane Composite-Coated Fiber Strain Sensor for Wearable Motion and Healthcare Monitoring DOI Creative Commons

Junming Cao,

Yuan‐Qing Jiang,

Xiaoming Li

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(1), P. 271 - 271

Published: Jan. 2, 2024

Fiber-based flexible sensors have promising application potential in human motion and healthcare monitoring, owing to their merits of being lightweight, flexible, easy process. Now, high-performance elastic fiber-based strain with high sensitivity, a large working range, excellent durability are great demand. Herein, we easily quickly prepared highly sensitive durable sensor by dip coating stretchable polyurethane (PU) fiber an MXene/waterborne (WPU) dispersion solution. Benefiting from the electrostatic repulsion force between negatively charged WPU MXene sheets mixed solution, very homogeneous stable MXene/WPU was successfully obtained, interconnected conducting networks were correspondingly formed coated shell layer, which makes as-prepared exhibit gauge factor over 960, sensing range 90%, detection limit as low 0.5% strain. As solution same polymer constitute, tight bonding conductive composite on PU fibers achieved, enabling endure 2500 stretching–releasing cycles thus show good durability. Full-scale also performed sensor, body posture analysis, correction prototype system developed via embedding into sweaters, strongly indicating prospects exercise, sports, healthcare.

Language: Английский

Citations

9

Progress in photodetector devices utilizing transition metal dichalcogenides DOI
Xin Li, Sikandar Aftab, Sajjad Hussain

et al.

Journal of Materials Chemistry C, Journal Year: 2023, Volume and Issue: 12(4), P. 1211 - 1232

Published: Dec. 11, 2023

Transition metal dichalcogenides (TMDs) with two dimensions (2D) exhibit remarkable electronic and optoelectronic properties that have made them a highly promising platform for the development of photodetectors (PDs).

Language: Английский

Citations

16

Recent advances in bioinspired vision sensor arrays based on advanced optoelectronic materials DOI Creative Commons
Hao Li,

Huiwen Yu,

Di Wu

et al.

APL Materials, Journal Year: 2023, Volume and Issue: 11(8)

Published: Aug. 1, 2023

Animals can learn about the outside world in many ways, and visual organ is a key for acquiring information world. With continuous development of intelligent technology, artificial vision techniques are becoming easier more automated; however, rigidity, process complexity, complicated optical components traditional commercial photodetectors have hindered their bionic vision. In recent years, new generation optoelectronic materials has attracted extensive research due to simple preparation process, continuously tunable bandgap, excellent properties. Two-dimensional perovskites become most promising effective next-generation devices. Based on properties materials, they also triggered intensive exploration by researchers field bionics. This paper highlights review latest progress including methods, working mechanisms, structural designs, advances imaging. The applications bionics simulating biological structures described. Finally, prospects challenges emerging discussed.

Language: Английский

Citations

13

Triboelectric Nanogenerators of the Li Salt of Adipic Acid-Incorporated Poly(vinyl alcohol) Composites Toward Biomechanical Motion Energy Harvesting and in Sports Application DOI
Pranab Dey, Suvankar Mondal, Arup R. Bhattacharyya

et al.

ACS Applied Electronic Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Language: Английский

Citations

4

Advances in Wearable Nanomaterial-Based Sensors for Environmental and Health Monitoring: A Comprehensive Review DOI

Sikandar Aftab,

Ganesh Koyyada, Najaf Rubab

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115788 - 115788

Published: Feb. 1, 2025

Language: Английский

Citations

0

A machine learning analysis to predict the stability driven structural correlations of selenium-based compounds as surface enhanced materials DOI
Cihat Güleryüz, Sajjad Hussain Sumrra,

Abrar U. Hassan

et al.

Materials Chemistry and Physics, Journal Year: 2025, Volume and Issue: unknown, P. 130786 - 130786

Published: March 1, 2025

Language: Английский

Citations

0

Eco-Friendly Lead-Free Metal Halide Perovskites: Progress and Prospects in Multifunctional Applications DOI
Maria Mukhtar, Burragoni Sravanthi Goud, Erdi Akman

et al.

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 180365 - 180365

Published: April 1, 2025

Language: Английский

Citations

0

Thermomechanical Properties of Transition Metal Dichalcogenides Predicted by a Machine Learning Parameterized Force Field DOI
Mehboob Ali, Hoang T. Nguyen, Jeffrey T. Paci

et al.

Nano Letters, Journal Year: 2024, Volume and Issue: 24(28), P. 8465 - 8471

Published: July 8, 2024

The mechanical and thermal properties of transition metal dichalcogenides (TMDs) are directly relevant to their applications in electronics, thermoelectric devices, heat management systems. In this study, we use a machine learning (ML) approach parametrize molecular dynamics (MD) force fields predict the transport library monolayered TMDs (MoS2, MoTe2, WSe2, WS2, ReS2). ML-trained were then employed equilibrium MD simulations calculate lattice conductivities foregoing investigate how they affected by small large strains. Furthermore, using nonequilibrium MD, studied across grain boundaries. presented provides fast albeit accurate methodology compute both TMDs, especially for relatively systems spatially complex structures, where density functional theory computational cost is prohibitive.

Language: Английский

Citations

3