Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 249 - 266
Published: Jan. 1, 2024
Language: Английский
Materials Science and Engineering R Reports, Journal Year: 2024, Volume and Issue: 159, P. 100804 - 100804
Published: May 21, 2024
Language: Английский
Citations
17
Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110805 - 110805
Published: Feb. 1, 2025
Language: Английский
Citations
2
Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 97, P. 112876 - 112876
Published: July 19, 2024
Language: Английский
Citations
13
Inorganics, Journal Year: 2024, Volume and Issue: 12(4), P. 112 - 112
Published: April 12, 2024
Two-dimensional transition metal carbides/nitrides (MXenes) are emerging members of the two-dimensional material family, obtained by removing A layer MAX phase through methods such as liquid-phase etching. This article summarizes structure and properties MXenes, well several preparation methods, including etching with hydrofluoric acid fluoride salts, alkali-based etching, electrochemical Lewis molten salt direct synthesis. Due to their unique surface chemistry, MXenes exhibit good metallic conductivity, hydrophilicity, excellent flexibility, ion intercalation properties, showing great potential in research application supercapacitors attracting widespread attention. The combination MXene other types materials, polymers, hydroxides, oxides, carbon takes advantage composites improve energy storage performance shows supercapacitors. provides a detailed summary composite materials capacitor introduces progress field supercapacitor applications, aiming provide references for high-performance electrode materials.
Language: Английский
Citations
10
Nano Trends, Journal Year: 2025, Volume and Issue: unknown, P. 100087 - 100087
Published: Feb. 1, 2025
Language: Английский
Citations
1
ACS Applied Nano Materials, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 4, 2025
The development of environmentally friendly and highly effective fire-retardant coatings is essential for wood protection forest fire prevention. Traditional flame retardants often rely on halogenated or phosphorus-based chemicals, which pose toxicity environmental concerns. To address this, we introduce a novel soy protein–MXene–hydroxyapatite (SP-MXene-CHA) hybrid nanocomposite designed as sustainable, sprayable coating to enhance resistance. This study proposes an application-driven approach inhibition, utilizing practical simplified evaluation methods. composite was synthesized by integrating SP, MXene, hydroxyapatite (HA) modified with caffeic acid (CA), forming stable dispersion. Structural characterization using FTIR, XPS, EDX, TGA, contact angle measurements confirmed the successful incorporation physicochemical stability all components. FE-SEM imaging demonstrated uniform distribution surface. Fire-retardant performance assessed at three concentrations (50, 100, 150 mg in 5.0 mL), showing dose-dependent reduction spread burning rate. treatment resulted 8, 46, 56% decreases propagation compared untreated wood, respectively. optimal concentration (150 mg) also exhibited migration suppression maintained partial resistance after two cycles simulated rain, 21 42% reductions effectiveness first second cycles, These findings highlight SP-MXene-CHA effective, sustainable alternative conventional retardants, offering potential applications fire-resistant construction materials wildfire
Language: Английский
Citations
1
Nanoscale, Journal Year: 2024, Volume and Issue: 16(38), P. 17723 - 17760
Published: Jan. 1, 2024
Two-dimensional transition metal carbides, nitrides, or carbonitrides (MXenes) have garnered remarkable attention in various energy and environmental applications due to their high electrical conductivity, good thermal properties, large surface area, mechanical strength, rapid charge transport mechanism, tunable properties. Recently, artificial intelligence has been considered an emerging technology, widely used materials science, engineering, biomedical its efficiency precision. In this review, we focus on the role of intelligence-based technology MXene-based devices discuss latest research directions devices, especially use modeling tools for storage sensors, memristors. addition, emphasis is given recent progress made synthesis methods MXenes advantages disadvantages. Finally, review ends with several recommendations suggestions regarding fabricating devices. We anticipate that will provide guidelines future suitable practical applications.
Language: Английский
Citations
8
ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: 7(12), P. 13893 - 13918
Published: June 5, 2024
Two-dimensional (2D) materials have seen a dramatic increase in use recent years due to their exceptional characteristics, which make them perfect for wide range of sensing applications. However, achieving optimal performance 2D material-based sensors often poses challenges owing material limitations and environmental factors. The combination ML algorithms with offers way maximize selectivity, sensitivity, overall sensor dependability. study starts by looking at the basic characteristics many uses sensing, such as graphene transition metal dichalcogenides (TMDs). It then explores difficulties encountered conventional techniques shows how machine learning (ML) overcome these difficulties. A thorough examination various methods used is provided, along an explanation functions data processing, pattern identification, real-time adaptive sensing. paper also discusses might lead better measures including lower false positive rates higher accuracy. Comprehensive analysis done on case studies that demonstrate effective implementations domains, industrial applications, monitoring, healthcare. In conclusion, abstract prospects future, highlighting learning-assisted are developing they transform technologies variety fields.
Language: Английский
Citations
6
ACS Sensors, Journal Year: 2024, Volume and Issue: 9(8), P. 3947 - 3957
Published: July 24, 2024
In recent years, flexible and stretchable strain sensors have emerged as a prominent area of research, primarily due to their remarkable stretchability extremely low detection threshold. Nevertheless, the advancement is currently constrained by issues such complexity, high costs, limited durability. To tackle aforementioned issues, this study introduces lepidophyte-inspired flexible, sensor (LIFSSS). The bioelectronics composites were composed multiwalled carbon nanotubes, graphene, neodymium iron boron, polydimethylsiloxane. Unique biolepidophyted microstructures magnetic conductive nanocomposites interact with each other through synergistic interactions, resulting in effective tensile excitation. LIFSSS exhibits 170% range, linearity 0.99 50-170% (0.96 for full-scale range), fine durability 7000 cycles at 110% range. accurately detects variations linear force, human movement, microexpressions. Moreover, demonstrates enhanced efficacy sign language recognition individuals hearing impairments grasping robotic manipulators. Hence, proposed shows potential applications various fields, including bioelectronics, electronic skin, physiological activity monitoring.
Language: Английский
Citations
6
FlatChem, Journal Year: 2024, Volume and Issue: 48, P. 100759 - 100759
Published: Oct. 10, 2024
Language: Английский
Citations
6