A5114930084- CO2 Reduction Techniques and Catalysts
- Catalytic Processes in Materials Science
- Advanced Photocatalysis Techniques
- Ammonia Synthesis and Nitrogen Reduction
- Speech Recognition and Synthesis
- Catalysis and Oxidation Reactions
- Electrocatalysts for Energy Conversion
- Nuclear Materials and Properties
- Face and Expression Recognition
- Ionic liquids properties and applications
- Nuclear reactor physics and engineering
- Text and Document Classification Technologies
- Fusion materials and technologies
Guizhou University
2023-2024
Federated learning (FL) has rapidly evolved as a promising paradigm that enables collaborative model training across distributed participants without exchanging their local data. Despite its broad applications in fields such computer vision, graph learning, and natural language processing, the development of data projection can be effectively used to visualize context FL is crucial yet remains heavily under-explored. Neighbor embedding (NE) an essential technique for visualizing complex...
CO2 electrocatalysis reduction (CO2RR) is considered to be one of the most efficient methods achieve carbon neutralization and realize renewable energy conversion. Unfortunately, at present, electrocatalysts confront challenges high overpotential, low selectivity, poor stability. Ag based are promising catalysts for CO production via CO2RR on a large scale, due their relatively higher catalytic performance more abundant reserves compared with other noble metals. Whereas, they still suffer...