A5035826085- Organic Electronics and Photovoltaics
- Conducting polymers and applications
- Advanced Vision and Imaging
- Meteorological Phenomena and Simulations
- Advanced Image Processing Techniques
- Quantum Dots Synthesis And Properties
- Perovskite Materials and Applications
- Oceanographic and Atmospheric Processes
- Climate variability and models
- TiO2 Photocatalysis and Solar Cells
- Manufacturing Process and Optimization
- Advanced Image Fusion Techniques
- Image and Signal Denoising Methods
- Fatigue and fracture mechanics
- Engineering Applied Research
- Machine Learning in Bioinformatics
- Force Microscopy Techniques and Applications
- Atmospheric and Environmental Gas Dynamics
- Hydrological Forecasting Using AI
- Ocean Waves and Remote Sensing
- Nanofabrication and Lithography Techniques
- Bioinformatics and Genomic Networks
- Image Processing and 3D Reconstruction
- Vehicle Noise and Vibration Control
- Water-Energy-Food Nexus Studies
Lanzhou University of Technology
2023
Tsinghua University
2006-2022
National Supercomputing Center in Wuxi
2019-2020
Guizhou Electric Power Design and Research Institute
2015
Centre Interdisciplinaire de Nanoscience de Marseille
2011
Centre National de la Recherche Scientifique
2011
In this work, a soft lithographic approach has been developed to duplicate photoinduced surface-relief-gratings (SRGs) of azo polymer films generate the surface pattern replicas composed different materials on various substrates. For purpose, thin an epoxy-based (BP-AZ-CA) were prepared by spin-coating, and SRGs with structures inscribed exposing interference patterns Ar(+) laser beams at modest intensity (150 mW/cm(2)). Using as masters, stamps poly(dimethylsiloxane) (PDMS) replica molding....
In this study, we report bulk heterojunction solar cells using hybrid nanorods as photoactive material. The core–shell are obtained via self-assembly of low band gap p-type oligomers onto ZnO nanorod surfaces. This produces highly soluble donor–acceptor nanostructures that feature a grafted semiconducting monolayer with 2.1 eV. solution processing the coaxial into thin films leads to heterojunctions particularly large interfaces. Importantly by simple donor domains smaller than typical...
The integrity of the blade surface is an essential guarantee for safe operation wind turbines. It crucial to research damage detection cracks. Based on improved YOLOv5 model, D-YOLO-v5 proposed by improving loss function, objective classification and activation extending application image processing, artificial intelligence, pattern recognition investigate intelligent cracks blades. object test was completed LabelImg annotation, training parameters adjustment, selection, prediction model...
Non-hydrostatic ocean models are widely required in coastal and estuarine studies but limited their application due to very high computational expense. To alleviate this issue, study developed a highly computationally efficient non-hydrostatic model named MERF v3.0 (the third version of the Marine Environment Research Forecasting model) which semi-implicit variable layers (SIVL) scheme is proposed for dynamic pressure calculation. The SIVL provides freedom choose ratio between number...
Abstract. Rapidly evolving computational techniques are making a large gap between scientific aspiration and code implementation in climate modeling. In this work, we design simple computing library to bridge the decouple work of ocean modeling from parallel computing. This provides 12 basic operators that feature user-friendly interfaces, effective programming, implicit parallelism. Several state-of-the-art techniques, including graph just-in-time compiling, employed parallelize seemingly...
Protein function prediction is currently achieved by encoding its sequence or structure, where the sequence-to-function transcendence and high-quality structural data scarcity lead to obvious performance bottlenecks. domains are "building blocks" of proteins that functionally independent, their combinations determine diverse biological functions. However, most existing studies have yet thoroughly explore intricate functional information contained in protein domains. To fill this gap, we...
Remote sensing images acquired by the FY4 satellite are crucial for regional cloud monitoring and meteorological services. Inspired success of deep learning networks in image super-resolution, we applied super-resolution to visible spectrum (VIS) images. However, training a robust network directly VIS remains challenging due limited provision high resolution sample data. Here, propose transfer model, FY4-SR-Net. It is composed pre-training fine-tuning models. The model was developed using...
Abstract. This paper describes the development and performance optimization of a parallel computing infrastructure for an unstructured-mesh global model (GRIST; Global-to-Regional Integrated forecast SysTem). The focus is on three major aspects that facilitate rapid iterative development, including computing, index efficient group I/O strategy. For METIS tool used partition mesh, which flexible convenient both quasi-uniform variable-resolution simulations. scaling tests show method...
It is a simple and commonly-used approach to use an inclined plane reference wave remove zero-order diffraction conjugated image in digital off-axis holography. However, this method encountering difficulty, since additional carrier frequency incorporated into the it difficult accurately obtain via experimental measurement, certain tilt distortion of phase will occur hologram reconstruction. In paper, numerical algorithm proposed solve problem. This innovatively constructs which able exactly...
With the rapid expansion of large-scale hydropower system in China, computing scale optimal operation is undergoing an explosive growth and curse dimensionality becoming more serious. How to solve problem effectively a reasonable time has become task top priority smart power grid. Orthogonal dimension reduction search algorithm (ODRSA) proposed on basis orthogonal experiment design neighborhood search. ODRSA takes objective function as experimental index, stations factors, state values each...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Geophysical Research Letters. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Improving machine learning-based weather forecast 1 post-processing with clustering transfer learningAuthors Xiaomeng Huang iD Yuwen Chen Yi Li Yue Chi Yan Tsui Xing Mingqing...