A5089972660- Perovskite Materials and Applications
- Embedded Systems Design Techniques
- Quantum Dots Synthesis And Properties
- Conducting polymers and applications
- Adversarial Robustness in Machine Learning
- Interconnection Networks and Systems
- Parallel Computing and Optimization Techniques
- Anomaly Detection Techniques and Applications
- Sinusitis and nasal conditions
- Advanced materials and composites
- Advanced ceramic materials synthesis
- Neural Networks and Applications
- Advanced Neural Network Applications
- Advanced Photocatalysis Techniques
- Ion-surface interactions and analysis
- Advanced Chemical Physics Studies
- Head and Neck Cancer Studies
- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- Magnetism in coordination complexes
- Automated Road and Building Extraction
- Organic Light-Emitting Diodes Research
- Integrated Circuits and Semiconductor Failure Analysis
- Fusion materials and technologies
- COVID-19 diagnosis using AI
State Grid Corporation of China (China)
2025
Henan University of Technology
2023-2025
University of Waterloo
2022-2025
Northwestern Polytechnical University
2019-2024
Quzhou City People's Hospital
2024
Xian Yang Central Hospital
2024
Huaibei Normal University
2024
Shanghai Institute of Applied Physics
2015-2023
Chinese Academy of Sciences
2015-2023
Shandong University
2021-2023
Abstract The ionic nature endows halide perovskites with intrinsic interfacial defects in the formed polycrystalline films, thus imposing challenge of synchronously passivating these low formation energies that directly account for unsatisfied performance perovskite solar cells (PSCs). By virtue theoretically proven capability a three to four times enhancement energy each defect Pb‐I antisite (Pb I ) and iodine vacancy (V ), new passivation molecule 1,10‐phenanthrolin‐5‐amine (PAA) is...
Parkinson's disease is a high incidence neurodegenerative in elderly people, and oxidative stress plays an important role the pathogenesis. Oxygen metabolism brain high, which lacks antioxidative protection mechanism. Recently, it has been found that polyphenols play antioxidation. (−)-epigallocatechin-3-gallate (EGCG) component of tea its biological effects, such as strong antioxidation, scavenging free radicals anti-apoptosis, can pass through blood barrier. The SIRT1/PGC-1α signaling...
Abstract The rapid growth in the device efficiency of perovskite solar cells (PSCs) has raised great demands for tackling their long‐term stability upon external environmental stimuli that restricts commercialization PSCs, which instability exposure to moisture been one major obstacles. Herein, an effective way building up double barriers degradation films is demonstrated by modifying them with rationally selected hydrolyzable hydrophobic molecules (1H,1H,2H,2H‐perfluorooctyl...
Rationally managing the secondary-phase excess lead iodide (PbI2 ) in hybrid perovskite is of significance for pursuing high performance solar cells (PSCs), while challenge remains on its conversion to a homogeneous layer that robust stable against environmental stimuli. We herein demonstrate an effective strategy surface reconstruction converts PbI2 into gradient sulfate-silica bi-layer, which substantially stabilizes film and reduces interfacial charge transfer barrier PSCs device. The...
Abstract Electron transport layers (ETLs) with pronounced electron conducting capability are essential for high performance planar perovskite photovoltaics, the great challenge being that most widely used metal oxide ETLs unfortunately have intrinsically low carrier mobility. Herein is demonstrated by simply addressing loss at particle boundaries of TiO 2 ETLs, through embedding in ETL p–n heterointerfaces, mobility can be boosted three orders magnitude. Such encouragingly favorable both...
Accurately extracting buildings from high-resolution remote sensing images is crucial for urban planning, smart city construction, map updating, and other fields. However, the extracted still have deficiencies such as fuzzy boundaries poor integrity due to occlusion of trees shadows, interference redundant information, characteristics with different shapes scales. In this paper, a novel building extraction model EGAFNet proposed images, which utilizes EfficientNetV2 encoder multiscale...
Federated learning (FL) is a promising technology that enables edge devices/clients to collaboratively and iteratively train machine model under the coordination of central server. The most common approach FL first-order methods, where clients send their local gradients server in each iteration. However, these methods often suffer from slow convergence rates. As remedy, second-order such as quasi-Newton, can be employed accelerate its convergence. Unfortunately, similarly application lead...
In order to improve the accuracy of intelligent speech interaction robots, author proposes a deep learning based intention recognition method for research. By introducing GloveBibGRU-Self attention classification prediction model, an function module is constructed, and ROS distributed architecture adopted integrate system functional modules, achieving voice between humans machines. The simulation results show that using proposed has higher accuracy. Compared with methods on DCNN CNN-LSTM GRU...
The concepts of conditional mutual information (CMI) and normalized CMI (NCMI) are introduced to measure the concentration separation performance a classification deep neural network (DNN) in output probability distribution space DNN, where ratio between NCMI represent intraclass interclass respectively. By using evaluate popular DNNs pretrained over CIFAR-100 ImageNet literature, it is shown that their validation accuracies more or less inversely proportional values. Based on this...
The user operates the smart home devices year in out, have produced mass operation data, but these data do not be utilized well past. Nowadays, can used to predict user's behavior custom with development of big and machine learning technologies, then prediction results employed enhance intelligence a system. In view this, this paper proposes novel unsupervised (UUBP) algorithm, which employs an artificial neural network forgetting factor overcome shortcomings previous algorithm. This...
Abstract Grain boundaries (GBs) engineering of hybrid perovskite films is significance for accessing high performance solar cells (PSCs), owing to the abundant defect states existed therein originating from low temperature film processing. Nanocrystals embedding at GBs has shown profound advantages in carrier dynamics modulation, while surface defects on nanocrystals turn lead usually trapping carriers GBs. The authors herein demonstrate efficient via laser generated with tailored improved...
Inorganic CsPbI2Br perovskite has emerged to be a promising candidate for photovoltaic materials, while developing additive engineering strategies address the issues of defect induced crystalline phase transformation from photoactive nonperovskite been challenge achieving their outstanding optoelectronic properties and thermal stability. In this work, we demonstrate an effective acetate mediation strategy significantly retarding crystallization process thus transformation, which leads much...
Objectives: Epidermal growth factor (EGF) and type 1 insulin-like (IGF-1) receptors play an important role in the apoptosis of nasopharyngeal carcinoma (NPC). They were separately found to be associated with prognosis patients NPC. To date, their expression correlation clinicopathologic significance have never been specifically addressed Methods: Seventy-five NPC 21 noncancerous epithelial samples accrued between 1998 2006 a single hospital. The expressions EGF IGF-1 detected by...
Roads extracted from high-resolution remote sensing images are widely used in many fields, such as autonomous driving, road planning, disaster relief, etc. However, extraction has certain deficiencies connectivity and completeness due to obstruction by surrounding ground objects, the influence of similar targets, slender structure roads themselves. To address this issue, we propose a novel dual-path convolutional neural network with strip dilated attention module, named DPSDA-Net, which...
The Hastelloy N alloy, Alloy 800H and 316H stainless steel were irradiated by Xe20+ ion irradiation with energy of 4 MeV at room temperature (peak damage ranging from 0.5 to 10 dpa). micromechanical properties, hardness creep plasticity, these three investigated alloys characterized before after using nanoindentation. results show that the increases, plasticity degrades increasing dose in all samples. In comparison, has good resistance, while is slightly worse. Additionally, approximate...
Abstract Quasi‐2D perovskite exhibits excellent luminescence properties for highly efficient light‐emitting diodes (PeLEDs). However, the lattice degradation and crystalline phase transition induced by water limit PeLED's development application commercialization. It is demonstrated that organic additives effectively reduce defect density, while bonding strength of these organics becomes weak under high electric field Joule heat in an operating PeLED. Thus, alternative additive forming...