A5023069926- Solar-Powered Water Purification Methods
- Advanced Photocatalysis Techniques
- Solar Thermal and Photovoltaic Systems
- Membrane Separation Technologies
- Mechanical and Optical Resonators
- Acoustic Wave Resonator Technologies
- Organometallic Complex Synthesis and Catalysis
- EEG and Brain-Computer Interfaces
- Water Quality Monitoring and Analysis
- Optical measurement and interference techniques
- Surface Roughness and Optical Measurements
- Advanced Measurement and Metrology Techniques
- Bamboo properties and applications
- Electrocatalysts for Energy Conversion
- Fuel Cells and Related Materials
- Functional Brain Connectivity Studies
- Advanced Manufacturing and Logistics Optimization
- Water Quality Monitoring Technologies
- Advanced MEMS and NEMS Technologies
- Synthetic Organic Chemistry Methods
- Fault Detection and Control Systems
- Tree Root and Stability Studies
- Wood Treatment and Properties
- Advanced Numerical Analysis Techniques
- Brain Tumor Detection and Classification
Nanjing Forestry University
2015-2025
Fudan University
2024
University of Alberta
2024
Wenzhou Polytechnic
2020
Southeast University
2020
China Guodian Corporation (China)
2018
National Institute of Standards and Technology
2015-2016
Physical Measurement Laboratory
2016
Beijing Technology and Business University
2015
Wuxi Institute of Technology
2010
Abstract The rational design of economic and high‐performance electrocatalytic water‐splitting systems is great significance for energy environmental sustainability. Developing a sustainable conversion‐assisted process provides promising novel approach to effectively boost its performance. Herein, self‐sustained system originated from the heterostructure perovskite oxide with 2D Ti 3 C 2 T x MXene on Ni foam (La 1‐x Sr CoO /Ti MXene/Ni) that shows high activity solar‐powered water...
The exploitation of functional materials is paramount for the development renewable energy to alleviate storage freshwater and energy. Herein, a series perovskites, La1-xSrxCoO3 (LSC), were prepared by facile hydrothermal calcination method, in which oxygen evolution reaction (OER) activity was facilitated with composition x = 0.1. Moreover, two-dimensional (2D) Ti3C2 MXene dopant introduced boost functions electrocatalytic capability solar thermal evaporation performance. Strong interfacial...
This review article combines the field of metallopolymers and stress-responsiveness on a molecular level, namely, metallocenes, as emerging stress-responsive building blocks for materials.
This review explores the role of atomic metal site cocatalysts in photocatalysis for solar energy conversion, focusing on recent advances single-atom and cluster cocatalysts, their structure–activity relationships, key applications.
With the increase in water consumption and pollution resulting from rising world population industrial development, severe fresh shortage has been regarded as one of critical problems facing world. Solar‐driven purification is an environment friendly promising technology to address problem. However, low photothermal conversion efficiency impedes its practical application. Herein, a natural spruce wood‐based solar evaporator functionalized with zeolitic imidazolate framework (ZIF‐8)...
Many studies developed the machine learning method for discriminating Major Depressive Disorder (MDD) and normal control based on multi-channel electroencephalogram (EEG) data, less concerned about using single channel EEG collected from forehead scalp to discriminate MDD. The dataset is by Fp1 Fp2 electrode of a 32-channel system. result demonstrates that classification performance location exceeds location, shows single-channel analysis can provide discrimination MDD at level analysis....
Advanced process modeling methods have been used for prediction and monitoring of key quality indices in wastewater treatment processes. However, single conventional models usually limited precision accuracy when predicting the effluent papermaking To achieve a better robustness, we propose stacking ensemble learning (SEL) method which utilizes advantages internal base-learning models. The combines algorithms including partial least squares, support vector regression, artificial neural...
Two different types of temperature-compensated film bulk acoustic resonators (FBARs) are designed, fabricated, and tested. One is formed by integrating FBAR with a surface-micromachined air-gap capacitor, which passively reduces the FBAR's temperature coefficient frequency (TCF) about 40 ppm//spl deg/C at 2.8 GHz. With this approach, zero TCF would easily have been achieved if FBARs were built on AlN rather than ZnO. The other type compensated SiO/sub 2/ cantilever that released XeF/sub...
Sequence-controlled organometallic polymers are prepared by regioselective ring-opening metathesis polymerization (ROMP) of multiple-substituted cyclooctene monomers with a built-in sequence the metal-containing substituents. The side-chain metal functions these metallopolymers consist metallocenes, i.e., ferrocene and ruthenocene. photophysical, thermal, electrochemical properties can be finely tailored metallocene along polymer chain. This work provides fundamental understanding to unveil...
This paper deals with the application of spline filter as an areal for surface metrology.A profile (2D) is often applied in orthogonal directions to yield a three-dimensional (3D) measurement.Unlike Gaussian filter, presents anisotropic characteristic when used filter.This disadvantage hampers wide filters evaluation and analysis topography.An approximation method proposed this overcome problem.In method, high-order serial constructed approximate filtering filter.Then isotropic composed by...