A5037881461- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Layered Double Hydroxides Synthesis and Applications
- Supercapacitor Materials and Fabrication
- Advanced Photocatalysis Techniques
- Covalent Organic Framework Applications
- Semiconductor materials and interfaces
- Metallurgical Processes and Thermodynamics
- Nanomaterials for catalytic reactions
- Anodic Oxide Films and Nanostructures
- Adsorption and biosorption for pollutant removal
- Minerals Flotation and Separation Techniques
- CO2 Reduction Techniques and Catalysts
- Advanced battery technologies research
- Conducting polymers and applications
- Semiconductor materials and devices
- Copper-based nanomaterials and applications
- Mineral Processing and Grinding
Northeastern University
2025
Tongji University
2020-2024
Hunan University
2021-2023
With the increasing diversification of ore types and complexity processing techniques in mining industry, traditional decision-making methods for mineral flowsheets can no longer meet high efficiency intelligence requirements. This paper proposes a knowledge graph-based framework constructing mineral-processing design base reasoning, aiming at providing intelligent efficient decision support engineers. integrates Chinese NLP models text vectorization, optimizes prompt generation through...
Controlling the stress state of electrodes during electrochemical cycling can have a positive effect on performance lithium-ion battery. In this work, we study silicon-based half cells under action pressure in range 0.1 to 0.4 MPa. The increases first with increasing 0.2 MPa and then decreases further pressure. analysis surface morphologies cycled reveals that applying leads formation fine electrode least cracks after are for 50 times, which supports dependence numerical results from single...
Controlling mechanical stress in silicon-based anode has been proved to be an effective method enhancing the cycling performance of lithium-ion battery. This work is aimed at developing stress-control charging strategies from analysis a silicon particle. Using mechanochemical model coupled with free volume theory, we analyze evolution particle multi-stage current for small rate (C-rate) low SOC and large C-rate high . The calculation results validate proposed reducing stresses We perform...