A5103284902- Conducting polymers and applications
- Quantum Dots Synthesis And Properties
- Corrosion Behavior and Inhibition
- Organic Electronics and Photovoltaics
- Advanced Photocatalysis Techniques
- Machine Learning in Materials Science
- Layered Double Hydroxides Synthesis and Applications
- Chalcogenide Semiconductor Thin Films
- Nuclear Materials and Properties
- Metallic Glasses and Amorphous Alloys
- Advanced Semiconductor Detectors and Materials
- Gas Sensing Nanomaterials and Sensors
- Polymer composites and self-healing
- Transition Metal Oxide Nanomaterials
- Radiation Detection and Scintillator Technologies
- Machine Learning and ELM
- Perovskite Materials and Applications
- Concrete Corrosion and Durability
- ZnO doping and properties
- Advanced battery technologies research
- Structural Integrity and Reliability Analysis
- Solar Radiation and Photovoltaics
- Silicone and Siloxane Chemistry
- Wind Energy Research and Development
- Magnesium Alloys: Properties and Applications
Hunan University of Technology
2024-2025
Chongqing University
2024
Shanghai University
2023
Xiangtan University
2021
DePaul University
2021
Yantai University
2021
Southwest Minzu University
2020
Gezhouba Explosive (China)
2019
To maximize energy extraction, the nacelle of a wind turbine follows direction. Accurate prediction direction is vital for yaw control. A tandem hybrid approach to improve accuracy data developed. The proposed in this paper includes bilinear transformation, effective decomposition techniques, long-short-term-memory recurrent neural networks (LSTM-RNNs), and error correction methods. In approach, angular firstly transformed into time-series accommodate full range motion. Then, continuous...
Abstract Traditionally, squaraine dyes have been studied and employed in biomedical research due to their excellent optical properties, the molecules are being adopted different fields such as organic solar cells. In this study, we investigate correlations between cell performance processing parameters of all‐small‐molecule bulk heterojunction cells comprising (SQ) electron donor (D) non‐fullerene small (e.g., ITIC) acceptor (A) with help machine learning (ML) design experiment (DoE)...
In the paper, an experimental technique simulating tidal rhythm for studying zone corrosion of metals was developed and X80 pipeline steel studied via using weight loss, electrochemical measurement, X-ray diffraction (XRD), scanning electron microscope (SEM). The results showed that rate current density (icorr) increased with steel's altitude in zone. No obvious pit observed on surface after 60 cycles seawater, indicating uniform non-uniform dominated work. products full immersion were...
Abstract In perovskite solar cells, grain boundaries are considered one of the major structural defect sites, and consequently affect cell performance. Therefore, a precise edge detection grains may enable to predict resulting Herein, deep learning model, Self‐UNet, is developed extract quantify morphological information such as boundary length (GBL), number (NG), average surface area (AGSA) from scanning elecron microscope (SEM) images. The Self‐UNet excels conventional Canny UNet models in...
The preparation parameters of PM6:Y6 non-fullerene organic solar cells (OSCs) have significant influence on the power conversion efficiency (PCE). Herein, machine learning (ML) models are applied for analyzing quantitative effects PCE OSCs from perspective fabrication parameters. Random Forest (RF) model has best evaluation performance and is considered as among six different algorithms. Pearson correlation coefficient, coefficient determination, root mean square error, absolute percentage...
It is challenging to build a deep learning predictive model using traditional data mining methods due the scarcity of available data, and model's internal decision-making process often nonintuitive difficult explain. In this work, directed message passing neural network with transfer (TL) chemprop interpreter proposed improve energy levels prediction visualization for organic photovoltaic materials. The established shows best performance, coefficient determination reaching 0.787 HOMO 0.822...