A5065012636- Surface Treatment and Residual Stress
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Laser Material Processing Techniques
- Erosion and Abrasive Machining
- High-Velocity Impact and Material Behavior
- Metal and Thin Film Mechanics
- Diamond and Carbon-based Materials Research
- High-Temperature Coating Behaviors
- Laser-Ablation Synthesis of Nanoparticles
- Terahertz technology and applications
- Laser-induced spectroscopy and plasma
- Welding Techniques and Residual Stresses
- Advanced Surface Polishing Techniques
- Metamaterials and Metasurfaces Applications
- Ultrasound and Cavitation Phenomena
- Perovskite Materials and Applications
- Quantum Dots Synthesis And Properties
- Additive Manufacturing and 3D Printing Technologies
- 2D Materials and Applications
- Plasmonic and Surface Plasmon Research
- Magnesium Alloys: Properties and Applications
- Photonic and Optical Devices
- Advanced machining processes and optimization
- Healthcare and Venom Research
Jiangsu University
2016-2025
Beijing Haidian Hospital
2025
Northeast Electric Power University
2024
Baotou Research Institute of Rare Earths
2021-2024
Southeast University
2023
Tongji University
2021-2023
Shenzhen General Institute of Architectural Design and Research (China)
2023
Energy Research Institute
2023
Jiangsu University of Science and Technology
2022
Shanghai Shipbuilding Technology Research Institute
2022
Abstract The development of phosphorescent materials with time‐dependent phosphorescence colors (TDPCs) is considerable interest for application in advanced dynamic information encryption. In this study, TDPC realized carbon dots (CDs) synthesized by the one‐pot hydrothermal treatment levofloxacin. CD ink printed on paper (CD@paper) exhibits a change color from orange to green, 1 s after irradiation 395 nm light. However, when irradiated wavelengths shorter or longer than nm, CD@paper only...
A new strategy for efficient RTP from CDs by engineering the conjugation degree and controlling hydrogen-bonding structure is proposed.
Abstract Adding additives (e.g., carbon dots, CDs) to liquid lubricants is an effective method for enhancing their load‐bearing capacity and friction reduction. However, it challenging simultaneously impart high superlubricity them ionic analogs, ILAs) through this strategy due strong Coulombic interactions. With CDs as a competing ligand operon, the cluster size distribution can be expanded, conferring with ultrahigh (>705 MPa, highest value of CDs‐based superlubricious materials thus...
Deep learning (e.g., Transformer) has been widely and successfully used in multivariate time series forecasting (MTSF). Unlike existing methods that focus on training models from a single modal of input, large language (LLMs) based MTSF with cross-modal text input have recently shown great superiority, especially limited temporal data. However, current LLM-based usually adapting fine-tuning LLMs, while neglecting the distribution discrepancy between textual tokens, thus leading to...