- Advancements in Battery Materials
- Perovskite Materials and Applications
- Advanced Photocatalysis Techniques
- Supercapacitor Materials and Fabrication
- Transition Metal Oxide Nanomaterials
- Advanced Battery Technologies Research
- TiO2 Photocatalysis and Solar Cells
- Advanced X-ray Imaging Techniques
- Advanced Battery Materials and Technologies
- Optical Systems and Laser Technology
- Advanced Surface Polishing Techniques
- Reservoir Engineering and Simulation Methods
- Advanced battery technologies research
- Advanced Nanomaterials in Catalysis
- Surface Roughness and Optical Measurements
- Layered Double Hydroxides Synthesis and Applications
- Photovoltaic System Optimization Techniques
- Ammonia Synthesis and Nitrogen Reduction
- Advanced Thermoelectric Materials and Devices
- Advanced Neural Network Applications
- Electronic and Structural Properties of Oxides
- Energy Load and Power Forecasting
- Model Reduction and Neural Networks
- Quantum Dots Synthesis And Properties
- Adversarial Robustness in Machine Learning
Hebei University of Technology
2024-2025
Tiangong University
2024-2025
National Renewable Energy Laboratory
2024
Harbin Institute of Technology
2023
Clemson University
2022-2023
Abstract Fractionally doped perovskites oxides (FDPOs) have demonstrated ubiquitous applications such as energy conversion, storage and harvesting, catalysis, sensor, superconductor, ferroelectric, piezoelectric, magnetic, luminescence. Hence, an accurate, cost-effective, easy-to-use methodology to discover new compositions is much needed. Here, we developed a function-confined machine learning FDPOs with high prediction accuracy from limited experimental data. By focusing on specific...
Electrochemical reduction of CO2 (ECO2RR) to formate represents a promising approach achieving carbon neutrality, yet it faces significant challenges due the low adsorption efficiency intermediates. In this study, we developed highly dispersed electron-rich Bi metal catalyst, utilizing low-cost g-C3N4 as nonmetallic support and electron donor. This design created conductive network multielectron environment around atoms that facilitated dynamic interfacial charge transfer from Bi, thus...
Knowledge distillation (KD) has become a widely used technique for model compression and knowledge transfer. We find that the standard KD method performs alignment on an individual sample indirectly via class prototypes neglects structural between different samples, namely, correlation. Although recent contrastive learning-based methods can be decomposed into correlation, their correlation objectives undesirably push apart representations of samples from same class, leading to inferior...
Electron transport layers (ETLs) in perovskite solar cells (PSCs) play a crucial role determining their device performance, which form electron-selective contacts with perovskites, and boost the extraction rate of photoinduced electrons tremendously affect nucleation subsequent growth highly crystallized films. Herein, four different types ETLs, i.e., compact titanium dioxide (c-TiO2), c-TiO2 mesoporous (m-TiO2) composite layers, fullerene C60, C60 are fabricated to compare effects on...
Strain-free GaAs/AlGaAs semiconductor quantum dots (QDs) grown by droplet etching and nanohole infilling (DENI) are highly promising candidates for the on-demand generation of indistinguishable entangled photon sources. The spectroscopic fingerprint optical properties QDs significantly influenced their morphology. effects geometry infilled material on exciton binding energies fine structure splitting well understood. However, a comprehensive understanding QD morphology remains elusive. To...
In order to achieve replication of the ultra-thin metal x-ray focusing mirrors with high accuracy and efficiency, which is key component EP satellite independently developed manufactured in China, simulation experimental research on demolding process are carried out this paper. The temperature stress fields entire mandrel (aluminum) shell (nickel) during cooling simulated by finite element analysis, evolution interface analyzed. When decreases from 45℃ 10℃, equivalent at between mirror...
Solid oxide electrochemical cells (SOECs) have attracted intensive attention because of their high efficiency and low environmental impact. Much effort has been made to decrease the operating temperature SOECs down intermediate-temperature range. The electrolyte materials with ionic conductivity are crucial factor in deciding among all components. Proton-conducting perovskite oxides one most promising for due excellent conductivity, usually called protonic ceramic (PCECs). common method...