A5101556282- Perovskite Materials and Applications
- Quantum Dots Synthesis And Properties
- Face and Expression Recognition
- Traffic Prediction and Management Techniques
- Autonomous Vehicle Technology and Safety
- Building Energy and Comfort Optimization
- Advanced Image and Video Retrieval Techniques
- Complex Network Analysis Techniques
- Transportation Planning and Optimization
- Video Surveillance and Tracking Methods
- Molecular Junctions and Nanostructures
- Advanced Graph Neural Networks
- Remote-Sensing Image Classification
- Image Retrieval and Classification Techniques
- 2D Materials and Applications
- Time Series Analysis and Forecasting
- Robotic Path Planning Algorithms
- Traffic control and management
- Graphene research and applications
- Gait Recognition and Analysis
- Advanced Steganography and Watermarking Techniques
- Text and Document Classification Technologies
- Advanced SAR Imaging Techniques
- Digital Media Forensic Detection
- Geothermal Energy Systems and Applications
Southern University of Science and Technology
2022-2025
Harbin Institute of Technology
2025
National University of Defense Technology
2018-2024
Dalian University of Technology
2019-2024
North China University of Science and Technology
2024
Sankt Hans Hospital
2023
Delft University of Technology
2020-2023
Beijing University of Chemical Technology
2022
Weichai Power (China)
2022
Xiamen University
2020-2021
Despite the great potential of all-inorganic CsPbX3 (X = Br or I) quantum dots (QDs) for light-emitting diodes (QLEDs), their emission properties have been impeded by long insulating ligands on QD surface. To address problem, an efficient surface ligand engineering method has executed using a short conjugation molecular phenethylamine (PEA) as to synthesize QDs and then treating films with phenethylammonium bromide (PEABr) iodide (PEAI). The results indicate that is successfully adsorbed...
Tetragonal CsPb2Br5 nanosheets were obtained by an oriented attachment of orthorhombic CsPbBr3 nanocubes, involving a lateral shape evolution from octagonal to square. Meanwhile, the experimental results, together with DFT simulation indicated that tetragonal is indirect bandgap semiconductor PL-inactive 2.979 eV.
Abstract Inorganic perovskites with special semiconducting properties and structures have attracted great attention are regarded as next generation candidates for optoelectronic devices. Herein, using a physical vapor deposition process controlled excess of PbBr 2 , dual‐phase all‐inorganic perovskite composite CsPbBr 3 –CsPb Br 5 thin films prepared light‐harvesting layers incorporated in photodetector (PD). The PD has high responsivity detectivity 0.375 A W −1 10 11 Jones, respectively,...
Abstract The development of solution‐processed inorganic metal halide perovskite light‐emitting diodes (PeLEDs) is currently hindered by low emission efficiency due to morphological defects and severe non‐radiative recombination in all‐inorganic emitters. Herein, bright PeLEDs are demonstrated synergetic morphology control over cesium lead bromide (CsPbBr 3 ) films with the combination two additives. phenethylammonium additive enables formation mixed‐dimensional CsPbBr perovskites featuring...
Although the development of machine intelligence is far from simulating all cognitive competence our brains, still it absolutely possible to peel driving activity people's activities and then make finish some low-level, complicated lasting cognition by brains. The goal replace drivers free them boring activities. Based on studies unmanned driving, this paper summarizes analyzes background, significance, research status key technology group also introduces brain sensor placement intelligent...
We report a simple, robust, and inexpensive strategy to enable all-inorganic CsPbX3 perovskite nanocrystals (NCs) with set of markedly improved stabilities, that is, water stability, compositional phase segregation stability via impregnating them in solid organic salt matrices (i.e., metal stearate; MSt). In addition acting as matrices, MSt also functions the ligand bound surface NCs, thereby eliminating potential damage NCs commonly encountered during purification copious past work. Quite...
Accurate and explainable short-term traffic forecasting is pivotal for making trustworthy decisions in advanced control guidance systems. Recently, deep learning approach, as a data-driven alternative to flow model-based data assimilation prediction methods, has become popular this domain. Many of these models show promising predictive performance, but inherently suffer from lack interpretability. This difficulty largely originates the inconsistency between static input–output mappings...
Herein, we demonstrate a facile and less costly approach to deliberately modulate the composition of CsPbX3 (X = Cl, Br, I) NCs. Taking advantage highly ionic nature perovskite structures, complete anion-exchange could be realized on basis directly synthesized CsPbBr3 employing zinc halogenide salts as anion source, which embraces advantages remarkably short exchange time room-temperature reaction environment while maintaining cubic phase for all NCs, well accessing superior NC qualities...
Water-air nanointerfaces are essential components of multiphase electrochemical processes in various energy-related applications, including water electrolysis, hydrogen fuel cells, and CO2 reduction. Deep insights into the critical properties of...
NaV6O15 nanoplates are successfully prepared by a facile and low-cost self-combustion method, which can be considered as promising cathode materials for high capacity sodium-ion batteries (NIBs). Morphology analysis suggests that the method leads to possessing uniform size, with an average length of 400 nm width 100 nm. As materials, exhibit initial discharge specific 149.48 mAh g−1 at current density 20 mA remains 81.99 after 30 cycles. The volume change is little 6.4%, demonstrated...
Seebeck coefficient measurements provide unique insights into the electronic structure of single-molecule junctions.
As an active device, air source heat pumps (ASHP) are widely used for heating and cooling in buildings. However, cold regions, their efficiency decreases, frost formation becomes a significant issue during winter. This paper proposes new scheme that couples with passive heating. By using software simulations mathematical models, the is compared to traditional ASHP systems analyze its performance rural homes winter China’s regions. According simulation calculation analysis, on coldest day of...
Three-dimensional (3D) architecture perovskite solar cells (PSCs) using CdS nanorod (NR) arrays as an electron transport layer were designed and prepared layer-by-layer via a physical-chemical vapor deposition (P-CVD) process. The NRs not only provided scaffold to the film, but also increased interfacial contact between film layer. As optimized result, high power conversion efficiency of 12.46% with short-circuit current density 19.88 mA cm−2, open-circuit voltage 1.01 V fill factor 62.06%...
Pedestrian–vehicle collision is an important component of traffic accidents. Over the past decades, it has become focus academic and industrial research presents challenge. This study proposes a modified Driving Safety Field (DSF) model for pedestrian–vehicle risk assessment at unsignalized road section, in which predicted positions are considered. A Dynamic Bayesian Network (DBN) employed pedestrian intention inference, particle filtering conducted to simulate motion. data collection was...
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow. Investigating how human drivers react differently when following autonomous vs. human-driven vehicles (HV) is thus critical for mixed Research in this field can be expedited with trajectory datasets collected by Autonomous Vehicles (AVs), However, trajectories AVs are noisy not readily applicable studying CF behaviour. This paper extracts enhances two categories...
Predicting the trajectories of road agents is fundamental for self-driving cars. Trajectory prediction contains many sources uncertainty in data and modeling. A thorough understanding this crucial a safety-critical task like auto-piloting vehicle. We need to distinguish between caused by partial observability all factors that may affect drivers' nearfuture decisions, so-called aleatoric uncertainty, deploying model new scenarios are possibly not present training set, epistemic uncertainty....
The dynamic interaction between lithium and gold during the charging–discharging processes with high spatiotemporal chemical resolution, including heterogeneous alloying perforation, was unveiled using a facile operando optical imaging approach.
Air-source heat pumps (ASHPs), as an active device, are widely used in building heating and cooling processes. However, severe cold regions, they face reduced efficiency frosting problems winter. This paper proposes a new solution by coupling ASHP with passive systems. It combines sunrooms storage systems for heating. Through software simulations mathematical modeling, the scheme is compared analyzed against traditional solutions to explore performance of this rural houses regions China...