Clearing the Air: Nanotechnology’s Role in Tackling Atmospheric Pollution DOI
S. M. Rajendran,

Ramesh Poornima,

Priyadharsini Sengottaiyan

et al.

Published: Jan. 1, 2025

Language: Английский

Recent advances, challenges, and perspectives on carbon capture DOI Creative Commons
Shihan Zhang, Yao Shen, Chenghang Zheng

et al.

Frontiers of Environmental Science & Engineering, Journal Year: 2024, Volume and Issue: 18(6)

Published: April 10, 2024

Abstract Carbon capture, utilization and storage (CCUS) technologies play an essential role in achieving Net Zero Emissions targets. Considering the lack of timely reviews on recent advancements promising CCUS technologies, it is crucial to provide a prompt review advances understand current research gaps pertained its industrial application. To that end, this first summarized developmental history large-scale demonstrations. Then, based visually bibliometric analysis, carbon capture remains hotspot development. Noting materials applied process determines performance. As result, state-of-the-art emerging were comprehensively discussed. Gaps between state-of-art ideal counterpart are analyzed, insights into needs such as material design, optimization, environmental impact, technical economic assessments provided.

Language: Английский

Citations

51

AI in analytical chemistry: Advancements, challenges, and future directions DOI
Rafael Cardoso Rial

Talanta, Journal Year: 2024, Volume and Issue: 274, P. 125949 - 125949

Published: March 19, 2024

Language: Английский

Citations

37

Flexible electrochemical energy storage devices and related applications: recent progress and challenges DOI Creative Commons

Bo‐Hao Xiao,

Kang Xiao, Jianxi Li

et al.

Chemical Science, Journal Year: 2024, Volume and Issue: 15(29), P. 11229 - 11266

Published: Jan. 1, 2024

This paper reviews advancements in flexible carbon-based and polymer gel materials for various types of energy storage systems, providing guidance future development next-generation wearable electronics.

Language: Английский

Citations

30

Insights on advanced g‐C3N4 in energy storage: Applications, challenges, and future DOI Creative Commons
Xiaojie Yang, Jian Peng, Lingfei Zhao

et al.

Carbon Energy, Journal Year: 2024, Volume and Issue: 6(4)

Published: Feb. 5, 2024

Abstract Graphitic carbon nitride (g‐C 3 N 4 ) is a highly recognized two‐dimensional semiconductor material known for its exceptional chemical and physical stability, environmental friendliness, pollution‐free advantages. These remarkable properties have sparked extensive research in the field of energy storage. This review paper presents latest advances utilization g‐C various storage technologies, including lithium‐ion batteries, lithium‐sulfur sodium‐ion potassium‐ion supercapacitors. One key strengths lies simple preparation process along with ease optimizing structure. It possesses abundant amino Lewis basic groups, as well high density nitrogen, enabling efficient charge transfer electrolyte solution penetration. Moreover, graphite‐like layered structure presence large π bonds contribute to versatility preparing multifunctional materials different dimensions, element group doping, conjugated systems. characteristics open up possibilities expanding application devices. article comprehensively reviews progress on highlights potential future applications this field. By exploring advantages unique features , provides valuable insights into harnessing full applications.

Language: Английский

Citations

19

AI in single-atom catalysts: a review of design and applications DOI Open Access

Qijun Yu,

Ninggui Ma,

Chihon Leung

et al.

Journal of Materials Informatics, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 12, 2025

Single-atom catalysts (SACs) have emerged as a research frontier in catalytic materials, distinguished by their unique atom-level dispersion, which significantly enhances activity, selectivity, and stability. SACs demonstrate substantial promise electrocatalysis applications, such fuel cells, CO2 reduction, hydrogen production, due to ability maximize utilization of active sites. However, the development efficient stable involves intricate design screening processes. In this work, artificial intelligence (AI), particularly machine learning (ML) neural networks (NNs), offers powerful tools for accelerating discovery optimization SACs. This review systematically discusses application AI technologies through four key stages: (1) Density functional theory (DFT) ab initio molecular dynamics (AIMD) simulations: DFT AIMD are used investigate mechanisms, with high-throughput applications expanding accessible datasets; (2) Regression models: ML regression models identify features that influence performance, streamlining selection promising materials; (3) NNs: NNs expedite known structural models, facilitating rapid assessment potential; (4) Generative adversarial (GANs): GANs enable prediction novel high-performance tailored specific requirements. work provides comprehensive overview current status insights recommendations future advancements field.

Language: Английский

Citations

3

Machine learning for CO2 capture and conversion: A review DOI Creative Commons
Sung Eun Jerng, Yang Jeong Park, Ju Li

et al.

Energy and AI, Journal Year: 2024, Volume and Issue: 16, P. 100361 - 100361

Published: March 30, 2024

Coupled electrochemical systems for the direct capture and conversion of CO2 have garnered significant attention owing to their potential enhance energy- cost-efficiency by circumventing amine regeneration step. However, optimizing coupled system is more challenging than handling separated because its complexity, caused incorporation solvent heterogeneous catalysts. Nevertheless, deployment machine learning can be immensely beneficial, reducing both time cost ability simulate describe complex with numerous parameters involved. In this review, we summarized techniques employed in development solvents such as ionic liquids, well To optimize a system, these two separately developed will need combined via future.

Language: Английский

Citations

17

Sustainability and Photocatalytic Performance of MOFs: Synthesis Strategies and Structural Insights DOI

Zeshan Ali Sandhu,

Umme Farwa, Muhammad Danish

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 470, P. 143263 - 143263

Published: July 27, 2024

Language: Английский

Citations

12

Simultaneous enhancement of CO2 adsorption capacity and kinetics on a novel micro-mesoporous MIL-101(Cr)-based composite: Experimental and DFT study DOI Creative Commons

Mohammad Bazmi,

Alimorad Rashidi, Abbas Naderifar

et al.

Journal of CO2 Utilization, Journal Year: 2024, Volume and Issue: 83, P. 102809 - 102809

Published: May 1, 2024

MIL-101(Cr), a class of metal-organic framework, is potential candidate for CO2 capture applications because its high capacity adsorption and separation capability. However, the intrinsic microporous structure this nanomaterial poses limitations on kinetics. Techniques employed to enhance kinetics often adversely impact at equilibrium. Herein, as new approach, we prepared amine-functionalized FAC@MIL-101(Cr) composites with adjustable micro-mesoporous tunable nitrogen content by embedding different ratios activated carbon throughout framework MIL-101(Cr). This led simultaneous improvement in both CO2. The best adsorbent, FAC-6@MIL-101(Cr), has excellent textural properties surface area (1763.1 m2.g−1), great pore volume (1.29 cm3.g−1), suitable (4.7 wt%). analysis revealed that modification MIL-101(Cr) improved from 3.21 5.27 mmol/g under standard conditions 1 bar 25 °C. Furthermore, FAC-6@MIL-101(Cr) adsorbent demonstrated fast (three times more relative pure MIL-101(Cr)), CO2/N2 selectivity, remarkable cyclic stability. results confirmed hybridization enhanced polarizability samples, causing robust CO2-adsorbent interactions. Simultaneously, existence mesopores facilitated transport into interior pores, resulting efficient contact molecules all amine sites faster rate well regeneration. According density functional theory (DFT) calculations, process induces significant changes composites' electronic structure, enhancing their interact effectively. On other hand, DFT calculations confirm N2 molecule less evidenced calculated small energy charge-transfer values.

Language: Английский

Citations

11

Metal–organic framework derived micro-/nano-materials: precise synthesis and clean energy applications DOI

Guangxun Zhang,

Xinyi Li,

Yuxin Liu

et al.

Inorganic Chemistry Frontiers, Journal Year: 2024, Volume and Issue: 11(19), P. 6275 - 6306

Published: Jan. 1, 2024

We summarize the different synthetic strategies of MOF-derived micro-/nano-materials to date, including but not limited calcining, phosphating, sulfurization, selenylation method, ion exchange, and etching strategies.

Language: Английский

Citations

11

Application of ionic liquids in CO2 capture and conversion: A review DOI

Haoyu Xing,

Fan Yu,

Xuhua Li

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: unknown, P. 130981 - 130981

Published: Dec. 1, 2024

Language: Английский

Citations

11