Review of progress in calculation and simulation of high-temperature oxidation

Progress in Materials Science, Год журнала: 2024, Номер 147, С. 101348 - 101348

Опубликована: Июль 31, 2024

Язык: Английский

---

A Review on the Recent Advances in Battery Development and Energy Storage Technologies

Journal of Renewable Energy, Год журнала: 2024, Номер 2024, С. 1 - 35

Опубликована: Май 8, 2024

Energy storage is a more sustainable choice to meet net-zero carbon foot print and decarbonization of the environment in pursuit an energy independent future, green transition, uptake. The journey reduced greenhouse gas emissions, increased grid stability reliability, improved access security are result innovation systems. Renewable sources fundamentally intermittent, which means they rely on availability natural resources like sun wind rather than continuously producing energy. Due its ability address inherent intermittency renewable sources, manage peak demand, enhance make it possible integrate small-scale systems into grid, essential for continued development decentralization generation. Accordingly, effective system has been prompted by demand unlimited supply energy, primarily through harnessing solar, chemical, mechanical Nonetheless, order achieve transition mitigate climate risks resulting from use fossil-based fuels, robust necessary. Herein, need better, devices such as batteries, supercapacitors, bio-batteries critically reviewed. their low maintenance needs, supercapacitors facilities, most notably Moreover, possess charging discharging cycles, high power density, requirements, extended lifespan, environmentally friendly. On other hand, combining aluminum with nonaqueous charge materials conductive polymers each material’s unique capabilities could be crucial batteries. In general, density key component battery development, scientists constantly developing new methods technologies existing batteries proficient safe. This will design that powerful lighter range applications. When there imbalance between (ESS) offer way increasing effectiveness electrical They also play central role enhancing reliability excellence networks can deployed off-grid localities.

Язык: Английский

---

Artificial intelligence interventions in 2D MXenes-based photocatalytic applications

Coordination Chemistry Reviews, Год журнала: 2025, Номер 529, С. 216460 - 216460

Опубликована: Янв. 24, 2025

Язык: Английский

---

Machine Learning Design for High-Entropy Alloys: Models and Algorithms

Metals, Год журнала: 2024, Номер 14(2), С. 235 - 235

Опубликована: Фев. 15, 2024

High-entropy alloys (HEAs) have attracted worldwide interest due to their excellent properties and vast compositional space for design. However, obtaining HEAs with low density high through experimental trial-and-error methods results in efficiency costs. Although high-throughput calculation (HTC) improves the design of HEAs, accuracy prediction is limited owing indirect correlation between theoretical values performances. Recently, machine learning (ML) from real data has increasing attention assist material design, which closely related performance. This review introduces common advanced ML models algorithms are used current HEA The advantages limitations these analyzed potential weaknesses corresponding optimization strategies discussed as well. suggests that acquisition, utilization, generation effective key issues development future

Язык: Английский

---

Boosting flexible electronics with integration of two‐dimensional materials

InfoMat, Год журнала: 2024, Номер 6(7)

Опубликована: Июнь 4, 2024

Abstract Flexible electronics has emerged as a continuously growing field of study. Two‐dimensional (2D) materials often act conductors and electrodes in electronic devices, holding significant promise the design high‐performance, flexible electronics. Numerous studies have focused on harnessing potential these for development such devices. However, to date, incorporation 2D rarely been summarized or reviewed. Consequently, there is an urgent need develop comprehensive reviews rapid updates this evolving landscape. This review covers progress complex material architectures based materials, including interfaces, heterostructures, 2D/polymer composites. Additionally, it explores wearable energy storage conversion, display touch technologies, biomedical applications, together with integrated solutions. Although pursuit high‐performance high‐sensitivity instruments remains primary objective, also warrants consideration. By combining multiple functionalities into singular device, augmented by machine learning algorithms, we can potentially surpass performance existing technologies. Finally, briefly discuss future trajectory burgeoning field. discusses recent advancements sensors made from their applications architecture device design.

Язык: Английский

---

Topological valley mode separation of elastic waves and potential applications

International Journal of Mechanical Sciences, Год журнала: 2024, Номер 274, С. 109229 - 109229

Опубликована: Март 29, 2024

Язык: Английский

---

Classification of a nanocomposite using a combination between Recurrent Neural Network based on Transformer and Bayesian Network for testing the conductivity property

Expert Systems with Applications, Год журнала: 2025, Номер 270, С. 126518 - 126518

Опубликована: Янв. 15, 2025

Язык: Английский

---

Frontiers in machine learning strategies for dye removal in water treatment

Journal of Water Process Engineering, Год журнала: 2025, Номер 71, С. 107251 - 107251

Опубликована: Фев. 15, 2025

Язык: Английский

---

Advancing SERS Applications of 2D Materials through the Interplay of Rational Design and Structure‐Property Relationships

Small Methods, Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive analytical tool for molecular investigations, particularly in biological systems. While metal nanoparticles (NPs) have been widely explored SERS, their performance depends on size, shape, and crystal structure. However, scattering efficiency low, limiting applications. To overcome these challenges, 2D materials emerged as promising SERS substrates due to high surface area, charge transfer capabilities, stability, tunable optical properties. Their biocompatibility makes them ideal chemical biomedical applications, including microfluidic systems, drug delivery, vivo diagnostics. This review comprehensively examines the development, structural characteristics, plasmonic integration of SERS. It highlights design considerations, optimization using machine learning (ML), material performance. ML-driven approaches enable precise tuning materials' optical, electrical, properties, enhancing biosensing capabilities. Computational algorithms facilitate detection ultra-low concentrations biomolecules such deoxyribonucleic acid (DNA), proteins, metabolites. ML also offers powerful tools data analysis, optimization, automated sensing, significantly advancing The synergy between opens new avenues high-performance technologies.

Язык: Английский

---

Recent intensification strategies of Indium vanadate-based materials for photocatalytic application

Separation and Purification Technology, Год журнала: 2024, Номер 346, С. 127462 - 127462

Опубликована: Апрель 10, 2024

Язык: Английский

---