IEEE Sensors Journal, Journal Year: 2025, Volume and Issue: 25(5), P. 8366 - 8374
Published: Jan. 23, 2025
Language: Английский
Sensors and Actuators B Chemical, Journal Year: 2022, Volume and Issue: 359, P. 131579 - 131579
Published: Feb. 18, 2022
Language: Английский
Citations
250
Global Challenges, Journal Year: 2023, Volume and Issue: 8(2)
Published: Dec. 30, 2023
Abstract Metal‐organic frameworks (MOFs) that are the wonder material of 21st century consist metal ions/clusters coordinated to organic ligands form one‐ or more‐dimensional porous structures with unprecedented chemical and structural tunability, exceptional thermal stability, ultrahigh porosity, a large surface area, making them an ideal candidate for numerous potential applications. In this work, recent progress in design synthetic approaches MOFs explore their applications fields gas storage separation, catalysis, magnetism, drug delivery, chemical/biosensing, supercapacitors, rechargeable batteries self‐powered wearable sensors based on piezoelectric triboelectric nanogenerators summarized. Lastly, work identifies present challenges outlines future opportunities field, which can provide valuable references.
Language: Английский
Citations
97
Powder Technology, Journal Year: 2024, Volume and Issue: 438, P. 119691 - 119691
Published: March 24, 2024
Language: Английский
Citations
17
Advanced Intelligent Systems, Journal Year: 2022, Volume and Issue: 4(12)
Published: Oct. 2, 2022
Nature has proved that multiple sense and processing capabilities are critical for target recognition race survival. As such, advanced robots perform missions in an unstructured environment highly need organism‐similar multimodal sensing systems sophisticated environmental stimuli. Herein, recent progress robotics is reviewed. Multimodal sensors including tactile capture surface properties of objects (i.e., thermal conductivity, temperature, softness, electron affinity), visual the color size objects, gas object smell summarized. The data fusion algorithms process signals from to achieve decision making also presented. challenges future development further discussed. Advances these areas open new avenues applications human–robot collaboration, rescue missions, garbage sorting, intelligent prosthetics.
Language: Английский
Citations
40
Langmuir, Journal Year: 2023, Volume and Issue: 39(36), P. 12920 - 12930
Published: Aug. 29, 2023
Detecting the types and concentrations of dissolved gases in insulating oil by resistivity-type sensors is an extremely effective means for diagnosing faults oil-immersed transformer. However, further breakthroughs innovations are needed gas-sensitive materials preparing high-performance sensors. In this investigation, application possibility using Pt-doped HfS2 (Pt-HfS2) as detection H2, CO2, CH4, C2H2 has been verified analyzing adsorption energy (Ead), differential charge density (DCD), states (DOS), frontier molecular orbital, desorption time based on functional theory (DFT). The outcomes suggest that band gap obviously narrowed after doping Pt at position bridge between S Hf atoms, resulting a significant increase conductivity HfS2. low implies there only weak physical Pt-HfS2 CO2 (-0.783 eV). contrast, highly hybridized atomic orbitals with indicate strong chemical reactions occur. Two-dimensional gas sensor great monitoring performance CH4 298 K (room temperature). This research serves theoretical guidelines probing potential fault diagnosis predictive maintenance
Language: Английский
Citations
36
Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(6), P. 3608 - 3643
Published: March 18, 2024
The rapid advancement of intelligent manufacturing technology has enabled electronic equipment to achieve synergistic design and programmable optimization through computer-aided engineering. Three-dimensional (3D) printing, with the unique characteristics near-net-shape forming mold-free fabrication, serves as an effective medium for materialization digital designs into usable devices. This methodology is particularly applicable gas sensors, where performance can be collaboratively optimized by tailored each internal module including composition, microstructure, architecture. Meanwhile, diverse 3D printing technologies realize modularized fabrication according application requirements. integration artificial intelligence software systems further facilitates output precise dependable signals. Simultaneously, self-learning capabilities system also promote hardware, fostering continuous improvement sensors dynamic environments. review investigates latest studies on 3D-printed sensor devices relevant components, elucidating technical features advantages different processes. A general testing framework evaluation customized proposed. Additionally, it highlights superiority challenges providing a comprehensive reference material adjustments, structure design, process modifications advanced
Language: Английский
Citations
15
Nano Energy, Journal Year: 2024, Volume and Issue: 126, P. 109672 - 109672
Published: April 28, 2024
Language: Английский
Citations
15
Small, Journal Year: 2024, Volume and Issue: 20(34)
Published: April 4, 2024
Abstract On‐chip nanophotonic waveguide sensor is a promising solution for miniaturization and label‐free detection of gas mixtures utilizing the absorption fingerprints in mid‐infrared (MIR) region. However, quantitative analysis organic still challenging less reported due to overlapping spectrum. Here,an Artificial‐Intelligence (AI) assisted “Photonic nose” presented as an augmented sensing platform mixture MIR. With subwavelength grating cladding supported design help machine learning algorithms, MIR spectrum binary distinguished from arbitrary mixing ratio decomposed single‐component spectra concentration prediction. As result, classification 93.57% 19 ratios realized. In addition, decomposition prediction show average root‐mean‐square error 2.44 vol%. The work proves potential broader analytical capabilities multiple components toward on‐chip spectroscopy.
Language: Английский
Citations
14
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(17)
Published: Jan. 9, 2024
Abstract Mitigating the energy requirements of artificial intelligence requires novel physical substrates for computation. Phononic metamaterials have vanishingly low power dissipation and hence are a prime candidate green, always‐on computers. However, their use in machine learning applications has not been explored due to complexity design process. Current phononic restricted simple geometries (e.g., periodic tapered) do possess sufficient expressivity encode tasks. A non‐periodic metamaterial, directly from data samples, that can distinguish between pairs spoken words presence readout nonlinearity is designed fabricated, demonstrating viable avenue towards zero‐power smart devices.
Language: Английский
Citations
9
Critical Reviews in Food Science and Nutrition, Journal Year: 2022, Volume and Issue: 63(30), P. 10536 - 10559
Published: June 1, 2022
Many people around the world are concerned about meat safety and quality, which has resulted in ongoing advancement of packaged food technology. Since emergence graphene 2004, number studies on layered two-dimensional materials (2DMs) for applications ranging from packaging to quality monitoring been expanding quickly. Recently, scientists have working hard develop a novel class 2DMs that keep good things but don't zero bandgaps at room temperature. Much work done transition metal dichalcogenides (TMDCs) like different sulfides selenides spoilage gas sensors. This review looks (i) main indicators (ii) detection methods can be used find out if spoiled, such as chemiresistive, electrochemical, optical methods. (iii) role (iv) advanced selective classification target analytes meat/food recent years. Thus, this demonstrates potential scope developing intelligent sensor systems with high viability, simplicity, cost-effectiveness, other multipurpose tools.
Language: Английский
Citations
31