Organogel Polymer Electrocatalysts for Two‐Electron Oxygen Reduction DOI Open Access
Lili Li, Binbin Wang,

Hongni Chen

et al.

Small, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 20, 2024

Polymer gels, renowned for unparalleled chemical stability and self-sustaining properties, have garnered significant attention in electrocatalysis. Notably, organic polymer gels that exhibit temperature sensitivity incorporate suitable polar nonvolatile liquids, enhance electronic conductivity, impart distinct morphological features, but remain largely unexplored as electrocatalysts oxygen reduction reaction (ORR). To address this issue, an innovative strategy is proposed synergistic modulation of the rigidity mainchain molecular skeleton length alkyl sidechains, enabling development organogel polymers with a sol-gel temperature-sensitive phase transition promises high selectivity enhanced activity electrocatalytic processes. shortening sidechain can significantly affect gelation behavior internal microstructure catalyst, which modifies electron state, ultimately impacting catalytic gel catalysts. In particular, phenyl-containing Ph-FL1 short sidechains demonstrates outstanding 2e

Language: Английский

Unveiling the potential of high-entropy materials toward high-energy metal batteries based on conversion reactions: synthesis, structure, properties, and beyond DOI
Ma Lian,

Weiqian Gong,

Shaofei Guo

et al.

Energy storage materials, Journal Year: 2025, Volume and Issue: unknown, P. 104054 - 104054

Published: Jan. 1, 2025

Language: Английский

Citations

0

Tailored High-Entropy Alloy Nanomaterials for Electrocatalytic Applications DOI
Chaohui Wang, Yunhao Wang, Yuecheng Xiong

et al.

EnergyChem, Journal Year: 2025, Volume and Issue: unknown, P. 100155 - 100155

Published: March 1, 2025

Language: Английский

Citations

0

Rapid synthesis of metastable materials for electrocatalysis DOI
Qiao Chen,

Zichao Xi,

Ziyuan Xu

et al.

Chemical Society Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Metastable materials are considered promising electrocatalysts for clean energy conversions by virtue of their structural flexibility and tunable electronic properties. However, the exploration synthesis metastable via traditional equilibrium methods face challenges because requirements high precise control. In this regard, rapid method (RSM), with efficiency ultra-fast heating/cooling rates, enables production under non-equilibrium conditions. relationship between RSM properties remains largely unexplored. review, we systematically examine unique benefits various techniques mechanisms governing formation materials. Based on these insights, establish a framework, linking electrocatalytic performance Finally, outline future directions emerging field highlight importance high-throughput approaches autonomous screening optimal electrocatalysts. This review aims to provide an in-depth understanding electrocatalysts, opening up new avenues both fundamental research practical applications in electrocatalysis.

Language: Английский

Citations

0

Advanced Development of High‐Entropy Alloys in Catalytic Applications DOI
Zhenfeng Zhu, Zijun Li, Zihe Liu

et al.

Small Methods, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Abstract Conventional alloys have long been limited by their simple compositions, which make it difficult to meet the requirements of modern catalysis applications. In contrast, high‐entropy (HEAs), characterized multi‐principal elements in near‐equimolar ratios, become a transformative paradigm materials science since inception 2004. The unique core effects HEAs, including effect, severe‐lattice distortion sluggish‐diffusion and cocktail endow them with superior catalytic properties activity, selectivity, durability. However, rapid advanced development comprehensive review applications is imperative foster deeper understanding. this review, capability commencing from entropy‐driven mechanism HEAs systematically explored. Then, are comprehensively analyzed diverse fields, energy conversion, chemical industries, environmental remediation, emphasizing remarkable capabilities Finally, pivotal challenges outlined synthesis methods, mechanistic elucidation, green manufacturing, propose future directions such as database establishment machine‐learning‐assisted design. By addressing knowledge gaps inspiring innovative strategies, aims accelerate translation into practical solutions for sustainable future.

Language: Английский

Citations

0

Guided electrocatalyst design through in-situ techniques and data mining approaches DOI Creative Commons

Mingyu Ma,

Yuqing Wang, Yanting Liu

et al.

Nano Convergence, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 18, 2025

Abstract Intuitive design strategies, primarily based on literature research and trial-and-error efforts, have significantly contributed to advancements in the electrocatalyst field. However, inherently time-consuming inconsistent nature of these methods presents substantial challenges accelerating discovery high-performance electrocatalysts. To this end, guided approaches, including in-situ experimental techniques data mining, emerged as powerful catalyst optimization tools. The former offers valuable insights into reaction mechanisms, while latter identifies patterns within large databases. In review, we first present examples using techniques, emphasizing a detailed analysis their strengths limitations. Then, explore data-mining-driven development, highlighting how data-driven approaches complement accelerate catalysts. Finally, discuss current possible solutions for design. This review aims provide comprehensive understanding methodologies inspire future innovations electrocatalytic research.

Language: Английский

Citations

0

Coevolution of large language models with physical models boosts advanced battery research DOI Creative Commons
Jiahui Li, Yue Hu,

G.H. Xia

et al.

Cell Reports Physical Science, Journal Year: 2025, Volume and Issue: unknown, P. 102553 - 102553

Published: April 1, 2025

Language: Английский

Citations

0

Big data-driven machine learning transformation for atomic-scale heterogeneous catalyst design: a critical review DOI
Xiaofan Zheng, Jia Yang, Lianyong Zhou

et al.

Chemical Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 121740 - 121740

Published: April 1, 2025

Language: Английский

Citations

0

Microwave quasi-solid-state-constructed low-content Pt on CeO2 with strong electronic interactions for efficient electrocatalytic acidic overall water splitting DOI
Jing Li, Qihao Wang, Ruiqi Guo

et al.

Inorganic Chemistry Frontiers, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Pt-loaded CeO 2 cubes were designed via a rapid and eco-friendly ultrafast microwave quasi-solid-state approach within 60 s, which exhibited low overpotential of 10 mV to reach mA cm −2 in 0.5 M H SO 4 with excellent long-term stability.

Language: Английский

Citations

0

The potential of high-entropy alloys as catalyst materials in water-splitting application DOI Creative Commons
Ziyao Fan, Michael R. Mucalo, J. Kennedy

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 134, P. 64 - 83

Published: May 4, 2025

Language: Английский

Citations

0

Artificial intelligence for catalyst design and synthesis DOI
Longhai Zhang,

Qiming Bing,

Qin Huang

et al.

Matter, Journal Year: 2025, Volume and Issue: 8(5), P. 102138 - 102138

Published: May 1, 2025

Language: Английский

Citations

0