Exceptional proton conduction in two robust zirconium(IV)/hafnium(IV)-organic frameworks constructed by tetratopic carboxylate DOI
Ruilan Liu,

Shang-Hao Xiao,

Ying Qiao

и другие.

Journal of Alloys and Compounds, Год журнала: 2024, Номер 1010, С. 177546 - 177546

Опубликована: Ноя. 14, 2024

Язык: Английский

High-performance electrically responsive artificial muscle materials for soft robot actuation DOI
Liang Yang, Hong Wang

Acta Biomaterialia, Год журнала: 2024, Номер 185, С. 24 - 40

Опубликована: Июль 23, 2024

Язык: Английский

Процитировано

16

Self-healing cellulose-based hydrogels: From molecular design to multifarious applications DOI
Liang Yang, Hong Wang,

Yanning Yang

и другие.

Carbohydrate Polymers, Год журнала: 2024, Номер 347, С. 122738 - 122738

Опубликована: Сен. 13, 2024

Язык: Английский

Процитировано

16

Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications DOI
Hong Wang,

Hengyu Cao,

Liang Yang

и другие.

ACS Applied Nano Materials, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 21, 2024

Machine learning (ML), as an advanced data analysis tool, simulates the process of human brain, enabling extraction features, discovery patterns, and making accurate predictions or decisions from complex data. In field nanomaterial design, application ML technology not only accelerates performance optimization nanomaterials but also promotes innovation materials science research methods. Bibliometrics, a method based on quantitative analysis, provides us with macro perspective to observe understand in design by statistically analyzing various indicators scientific literature. This paper quantitatively analyzes literature related ML-driven seven dimensions, revealing importance necessity design. It systematically diversified applications combination suitable algorithms being key enhancing nanomaterials. addition, this discusses current challenges future development directions, including quality set construction, algorithm optimization, deepening interdisciplinary cooperation. review researchers state trends ideas suggestions for research. is significant value promoting progress fostering in-depth research, accelerating innovative material technologies.

Язык: Английский

Процитировано

13

Inherent Ultrahigh Proton Conductivity of Two Highly Stable COOH-Functionalized Hafnium-Based Metal–Organic Frameworks DOI
Ruilan Liu,

Huimin Ren,

Shuhui Zhao

и другие.

Inorganic Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 5, 2025

Although there has been some recent interest in the proton conductivity (σ) of highly stable carboxyl metal–organic frameworks (MOFs) made tetravalent metal ions, given their potential applications fuel cells and electrochemical sensing, research on MOFs constructed by hafnium(IV) ions needs to be expanded significantly. Based this, we used two common easily prepared phenylpoly(carboxylic acid) ligands, 1,2,4-phenyltricarboxylic acid 1,2,4,5-phenyltetracarboxylic acid, react with hafnium tetrachloride, respectively, creating porous hafnium(IV)-based MOFs, UiO-66-COOH-Hf (1) UiO-66-(COOH)2-Hf (2), same structure as UiO-66-Hf but different numbers free carboxylic groups. A series stability assays revealed that had excellent structural rigidity, including thermal water stability. More crucially, alternating current impedance experiments demonstrate σ varies positively humidity temperature, reaching up 10–3 S·cm–1 (1: 2.83 × 2: 4.35 S·cm–1) under right conditions (98% relative 100 °C). The latter roughly doubles former, which is due difference number groups, confirmed analysis conduction mechanism investigation. high intrinsic lays a solid foundation for future application affords new inspiration developing high-performance proton-conductive materials.

Язык: Английский

Процитировано

1

A review of additional modifications of additives through hydrophilic functional groups for the application of proton exchange membranes in fuel cells DOI
Muhammad Rehman Asghar, Weiqi Zhang, Huaneng Su

и другие.

Journal of Power Sources, Год журнала: 2024, Номер 622, С. 235353 - 235353

Опубликована: Сен. 3, 2024

Язык: Английский

Процитировано

7

Demonstration of a thermoelectric generator system for low-temperature heat harvesting in fuel cell DOI Creative Commons

Silong Zhang,

Lai-Ming Luo,

X. W. Zhang

и другие.

iScience, Год журнала: 2024, Номер 27(7), С. 110022 - 110022

Опубликована: Май 17, 2024

During the operation of proton exchange membrane fuel cell (PEMFC), about half energy is dissipated as heat. To enhance efficiency electric vehicle (FCEV), we hereby propose a waste heat recovery system for low-temperature harvesting FCEV. A comprehensive fluid-thermal-electrical multiphysics model established to predict performance proposed thermoelectric generator (TEG) system. Subsequently, practical prototype TEG developed. Transient and steady-state experimental results from validated feasibility power generation At temperature difference 40°C, highest open circuit voltage output each are 6.2V 0.33W respectively, affirmatively demonstrate that can recover low PEMFC, thus providing valuable guidance design future PEMFC thermal management in

Язык: Английский

Процитировано

1

Exceptional proton conduction in two robust zirconium(IV)/hafnium(IV)-organic frameworks constructed by tetratopic carboxylate DOI
Ruilan Liu,

Shang-Hao Xiao,

Ying Qiao

и другие.

Journal of Alloys and Compounds, Год журнала: 2024, Номер 1010, С. 177546 - 177546

Опубликована: Ноя. 14, 2024

Язык: Английский

Процитировано

0