A5101455346- Particle Accelerators and Free-Electron Lasers
- Particle accelerators and beam dynamics
- Photonic and Optical Devices
- Electromagnetic Compatibility and Noise Suppression
- Advanced Neuroimaging Techniques and Applications
- Magnetic confinement fusion research
- Radiomics and Machine Learning in Medical Imaging
- Brain Tumor Detection and Classification
- Advanced Surface Polishing Techniques
- Photocathodes and Microchannel Plates
- Medical Imaging Techniques and Applications
- Plasmonic and Surface Plasmon Research
- Mechanical and Optical Resonators
- Engineering Applied Research
- Laser-Plasma Interactions and Diagnostics
- Multilevel Inverters and Converters
- Viral Infections and Immunology Research
- Advanced DC-DC Converters
- Distributed and Parallel Computing Systems
- Remote-Sensing Image Classification
- Machine Learning in Healthcare
- Radio Frequency Integrated Circuit Design
- Photoacoustic and Ultrasonic Imaging
- Advanced ceramic materials synthesis
- Advancements in Photolithography Techniques
Huizhou University
2021-2025
National Engineering Research Center of Electromagnetic Radiation Control Materials
2021
National Synchrotron Radiation Laboratory
2016
University of Science and Technology of China
2016
Inner Mongolia University
2016
Due to their high breakdown threshold and acceleration gradient, dielectric laser accelerators (DLAs) have become an important technical direction of accelerator miniaturization. In this study, electron scheme based on graphene surface plasmon polaritons (SPPs) is proposed. The grating was designed be etched the silica in simulation, a layer modeled cover medium. incident light simulation configured coupled by generate surface. According results, relatively large channel aperture long length...
Background and purpose: MRI is critical for the detection of subtle cortical pathology in epilepsy surgery assessment. This can be aided by improved quality resolution using ultra-high field (7T). But poor access long scan durations limit widespread use, particularly a paediatric setting. AI-based learning approaches may provide similar information enhancing data obtained with conventional (3T). We used convolutional neural network trained on matched 3T 7T images to enhance quantitative...
Large Vision Model (LVM) has recently demonstrated great potential for medical imaging tasks, potentially enabling image enhancement sparse-view Cone-Beam Computed Tomography (CBCT), despite requiring a substantial amount of data training. Meanwhile, Deep Image Prior (DIP) effectively guides an untrained neural network to generate high-quality CBCT images without any training data. However, the original DIP method relies on well-defined forward model and large-capacity backbone network,...
A theoretical approach is presented to significantly enhance the spectral sensitivity of prism-based SPR sensors. The sensors derived based on coupling conditions and might exceed 105 nm/RIU for analytes with large RI values when other sensor parameters are carefully considered, including prism, angle incidence, active material. could be markedly enhanced, reaching up 10,000 by fine-tuning effective incident light slightly larger, specifically 0.01~0.02 RIU, than analyte, which attributed...
The spectral sensitivity of conventional prism-based SPR sensors is numerically investigated and found to increase rapidly with the RI analyte. could be greatly enhanced by means setting x_component effective incident light a little larger than analyte mainly on account large dielectric permittivity active material which essential in just mentioned approach order satisfy coupling condition SPR.
The cavity combiner was put forward for high power combining due to its advantages of larger ability, variable input ways and less loss.For the combiner, it is better keep loss ratio in a reasonable range, because much would lead strict requirements on cooling system.The with convenient outputting different powers according practical demands.In this paper, method designing variable-way high-power proposed, based relation between output coupling coefficients obtained by analyzing equivalent...
The cavity combiner was put forward for high power combining due to its advantages of larger ability, variable input ways and less loss. For the combiner, it is better keep loss ratio in a reasonable range, because much would lead strict requirements on cooling system. with convenient outputting different powers according practical demands. In this paper, method designing variable-way high-power proposed, based relation between output coupling coefficients obtained by analyzing equivalent...
We applied Image Quality Transfer to enhance the contrast and resolution in slice direction of low-field structural MRI, using a deep learning model trained on simulated images. Six radiologists blindly reviewed enhanced images compared low- high-field from 12 paediatric patients with epilepsy. Results demonstrated significant improvement visualisation brain structures sagittal coronal orientations, marginal between grey white matter. If these promising results are confirmed larger study...