A5060005951- Supercapacitor Materials and Fabrication
- Advancements in Battery Materials
- Advanced battery technologies research
- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
- Conducting polymers and applications
- Advanced Battery Materials and Technologies
- Catalytic Processes in Materials Science
- Membrane-based Ion Separation Techniques
- Advanced Battery Technologies Research
- Advanced Photocatalysis Techniques
- Machine Learning in Materials Science
- Electrochemical Analysis and Applications
- MXene and MAX Phase Materials
- Advanced Computational Techniques and Applications
- CO2 Reduction Techniques and Catalysts
- Metal-Organic Frameworks: Synthesis and Applications
- Graphene research and applications
- Organic Light-Emitting Diodes Research
- Molecular Sensors and Ion Detection
- Hydrogels: synthesis, properties, applications
- Semiconductor materials and devices
- Advanced Sensor and Control Systems
- Machine Learning and ELM
- Speech and Audio Processing
Hebei University of Technology
2022-2025
Tianjin University
2015-2024
Nanjing Forestry University
2024
Interface (United States)
2023-2024
The Synergetic Innovation Center for Advanced Materials
2023-2024
State Grid Corporation of China (China)
2024
Tianjin University of Technology
2024
Liupanshui Normal University
2024
Nanjing University
2024
Nanjing University of Posts and Telecommunications
2023
A general ultrathin‐nanosheet‐induced strategy for producing a 3D mesoporous network of Co 3 O 4 is reported. The fabrication process introduces N‐doped carbon to adsorb metal cobalt ions via dipping process. Then, this matrix serves as the sacrificed template, whose N‐doping effect and ultrathin nanosheet features play critical roles controlling formation networks. obtained material exhibits interconnected architecture with large specific surface area abundant mesopores, which constructed...
A novel carbon cathode was fabricated for high-performance Zn-ion supercapacitors with enhanced pseudocapacitance.
Using a highly ion conductive, chemically stable, mechanically robust, reinforced anion exchange membrane (AEM) of nominal thickness 85 μm, we report an AEM water electrolyzer operating for longer than one year at 70 °C with 1 M KOH electrolyte, H2 crossover below industrial limits. The minimal degradation observed is due to the membrane-electrode-assembly and not membrane, which exhibits negligible change in its ionic conductivity after >1 yr operation. A hydrogen from cathode anode <0.4%...
Three-dimensional hierarchical porous carbons are synthesized <italic>via</italic> a simple one-pot method using the self-assembly of various water-soluble salts as structure-directing templates, which exhibit excellent capacitive performance.
A flexible one-pot strategy for fabricating a 3D network of nitrogen-doped (N-doped) carbon ultrathin nanosheets with closely packed mesopores (N-MCN) via an in situ template method is reported this research. The self-assembly soluble salts (NaCl and Na2SiO3) serve as hierarchical templates support the formation glucose-urea complex. organic complex heat-treated to obtain N-doped constructed by mesoporous nanosheets. Especially, both structure doping content can be easily tuned adjusting...
Electrochemically reconstructed Cu-based catalysts always exhibit enhanced CO
Abstract Resource‐rich FeS 2 is a promising anode for potassium‐ion batteries (PIBs). However, polysulfides emerge due to conversion during discharging, which dissolve into the ether‐based electrolyte and cause continuous capacity degradation in PIBs. To address dissolution PIBs, graphene–shell‐encapsulated fabricated embedded N/S codoped 3D hollow carbon spheres. As protective pocket, graphene–shell can effectively accommodate inside core–shell, inhibiting shuttle effect enhance cycle...
In this review, we focus on the systematic construction of data-driven electrocatalyst design framework and discuss its principles, current challenges, opportunities.
Abstract Conversion‐type electrode materials have gained massive research attention in sodium‐ion batteries (SIBs), but their limited reversibility hampers practical use. Herein, we report a bifunctional nanoreactor to boost highly reversible storage, wherein record‐high degree of 85.65 % is achieved for MoS 2 anodes. Composed nitrogen‐doped carbon‐supported single atom Mn (NC‐SAMn), this concurrently confines active spatially and catalyzes reaction kinetics. In situ/ex situ...
Abstract Conversion‐type electrode materials have gained massive research attention in sodium‐ion batteries (SIBs), but their limited reversibility hampers practical use. Herein, we report a bifunctional nanoreactor to boost highly reversible storage, wherein record‐high degree of 85.65 % is achieved for MoS 2 anodes. Composed nitrogen‐doped carbon‐supported single atom Mn (NC‐SAMn), this concurrently confines active spatially and catalyzes reaction kinetics. In situ/ex situ...
Abstract Selective photoreduction of carbon dioxide (CO 2 ) into high‐value C products remains a formidable challenge due to the elusive C−C coupling step. Herein, novel concept is first introduced that an amorphous‐crystalline hybrid structure can galvanize previously inert metal atoms, thereby establishing highly active dual sites. This ingenious configuration promotes coupling, paving way for CO products. Taking Bi MoO 6 nanosheets anchored by amorphous FeOOH species as example, X‐ray...
The collection and real-time transmission of emergency environmental information are crucial for rapidly assessing the on-site situation sudden disasters responding promptly. However, acquisition information, particularly its seamless transmission, faces significant challenges under complex terrain limited ground communication. This paper utilizes sensors, line-of-sight communication with unmanned aerial vehicles (UAVs), LoRa long-distance to establish an integrated monitoring system that...
Metal-based nanoparticles serve as critical catalysts in reactions, such hydrogen evolution and oxygen reduction, with their catalytic activity strongly influenced by particle size due to the higher density of active sites smaller particles. Current techniques for nanoparticle characterization often rely on costly complex instrumentation, limiting efficiency. Here, we present "LSV2NP", an innovative machine learning approach leveraging gradient boosting regression (GBR) model predict sizes...