A5089377650- Heat Transfer and Optimization
- Organic Light-Emitting Diodes Research
- Luminescence and Fluorescent Materials
- Heat Transfer and Boiling Studies
- Heat Transfer Mechanisms
- Nanofluid Flow and Heat Transfer
- Geophysics and Gravity Measurements
- Photochemistry and Electron Transfer Studies
- Advanced Battery Technologies Research
- Geomagnetism and Paleomagnetism Studies
- Advancements in Battery Materials
- Molecular Junctions and Nanostructures
- Perovskite Materials and Applications
- Topology Optimization in Engineering
- Electron Spin Resonance Studies
- Luminescence Properties of Advanced Materials
- GNSS positioning and interference
- Advanced Battery Materials and Technologies
- Tribology and Lubrication Engineering
- Heat transfer and supercritical fluids
- Quantum Dots Synthesis And Properties
- Conducting polymers and applications
- Video Surveillance and Tracking Methods
- Gear and Bearing Dynamics Analysis
- Lanthanide and Transition Metal Complexes
Shandong Normal University
2021-2025
Shandong Institute of Metrology
2025
Xidian University
2013-2024
Chinese Academy of Surveying and Mapping
2011-2024
Shanghai Institute of Applied Physics
2019-2023
Chinese Academy of Sciences
2008-2023
Guizhou Electromechanical Research and Design Institute
2023
Xi’an University
2023
Hebei Medical University
2022
Second Hospital of Hebei Medical University
2022
Citicoline (CDPC) is a natural supplement with well-documented neuroprotective effects in the treatment of neurodegenerative diseases. In present study, we sought to exploit citicoline as theranostic agent its inherent chemical exchange saturation transfer (CEST) MRI signal, which can be directly used an guidance drug delivery. Our vitro CEST results showed has two signals at +1 and +2 ppm, attributed exchangeable hydroxyl amine protons, respectively. To facilitate targeted delivery ischemic...
A QM/MM study on through space charge transfer (TSCT)-based thermally activated delayed fluorescence (TADF) molecules with sky-blue emission.
Improving the internal quantum efficiency and optimizing horizontal dipole orientation in near-infrared thermally activated delayed fluorescence (TADF) molecules are highly desired.
The machine-learning techniques have shown their capability for studying phase transitions in condensed matter physics. Here, we employ the to study nuclear liquid-gas transition. We adopt an unsupervised learning and classify liquid gas phases of nuclei directly from final state raw experimental data heavy-ion reactions. Based on a confusion scheme which combines supervised learning, obtain limiting temperature Its value $9.24\pm0.04~\rm MeV$ is consistent with that obtained by traditional...
Organic room temperature phosphorescence (RTP) has been widely investigated to realize long-lifetime luminescent materials and improvement in their efficiency is a key focus of research, especially for red near-infrared (NIR) RTP molecules.
Organic room-temperature phosphorescence (RTP) emitters with long lifetimes, high exciton utilizations, and tunable emission properties show promising applications in organic light-emitting diodes (OLEDs) biomedical fields. Their excited-state are highly related to single molecular structure, aggregation morphology, external stimulus (such as hydrostatic pressure effect). To gain a deeper understanding effectively regulate the key factors of luminescent efficiency lifetime for RTP emitters,...