A5100351260- EEG and Brain-Computer Interfaces
- Corrosion Behavior and Inhibition
- Tribology and Wear Analysis
- Neuroscience and Neural Engineering
- Concrete Corrosion and Durability
- Graphene research and applications
- Carbon and Quantum Dots Applications
- Advanced Memory and Neural Computing
- Polymer Nanocomposites and Properties
- Analytical Chemistry and Sensors
- Nanocluster Synthesis and Applications
- Blind Source Separation Techniques
- MXene and MAX Phase Materials
- Electrocatalysts for Energy Conversion
- Adsorption and Cooling Systems
- Quantum Dots Synthesis And Properties
- High-Velocity Impact and Material Behavior
- Diamond and Carbon-based Materials Research
- Gaze Tracking and Assistive Technology
- Advanced battery technologies research
- Structural Behavior of Reinforced Concrete
- Innovative concrete reinforcement materials
- Ultrasonics and Acoustic Wave Propagation
- Hydrogen embrittlement and corrosion behaviors in metals
- Electrochemical sensors and biosensors
Northwestern Polytechnical University
2022-2025
Chinese Academy of Sciences
2018-2025
North Dakota State University
2016-2025
University of Connecticut
2020-2025
Suzhou Institute of Nano-tech and Nano-bionics
2023-2025
Institute of Physics
2024
Shijiazhuang Tiedao University
2023-2024
East China University of Science and Technology
2008-2024
Beihua University
2024
University of Science and Technology of China
2007-2024
A facile H2 O2 oxidation treatment to tune the properties of metal disulfides for oxygen evolution reaction (OER) activity enhancement is introduced. With this method, degree can be readily controlled and effect surface S residues in resulted (oxy)hydroxides OER revealed first time. The developed NiFe (oxy)hydroxide catalyst with residual demonstrates an extraordinarily low overpotential 190 mV at current density 10 mA cm-2 after coupling carbon nanotubes, outstanding performance Zn-air...
The common spatial pattern (CSP) algorithm is a well-recognized filtering method for feature extraction in motor imagery (MI)-based brain–computer interfaces (BCIs). However, due to the influence of nonstationary electroencephalography (EEG) and inherent defects CSP objective function, filters, their corresponding features are not necessarily optimal space used within CSP. In this work, we design new selection address issue by selecting based on an improved function. Especially, improvements...
The performance of motor imagery (MI) based Brain-computer interfacing (BCI) is easily affected by noise and redundant information that exists in the multi-channel electroencephalogram (EEG). To solve this problem, many temporal spatial feature channel selection methods have been proposed. However, features do not accurately reflect changes power oscillatory EEG. Thus, spectral MI-related EEG signals may be useful for selection. Bispectrum analysis a technique developed extracting non-linear...
Tumor microenvironment-responsive chemodynamic therapy (CDT), an approach based on Fenton/Fenton-like reaction to convert hydrogen peroxide (H2O2) into the highly cytotoxic hydroxyl radical (·OH) in situ kill cancer cells, represents important direction for therapy. Different types of nanozymes (nanomaterial-based catalysts that can mimic activities natural enzymes) have been developed peroxidase. This Perspective highlights latest research progress regarding low-cost and biocompatible...
It is difficult to identify optimal cut-off frequencies for filters used with the common spatial pattern (CSP) method in motor imagery (MI)-based brain-computer interfaces (BCIs). Most current studies choose filter cut-frequencies based on experience or intuition, resulting sub-optimal use of MI-related spectral information electroencephalography (EEG). To improve utilization, we propose a SincNet-based hybrid neural network (SHNN) MI-based BCIs. First, raw EEG segmented into different time...
Abstract Cuprous‐based nanozymes have demonstrated great potential for cascade chemodynamic therapy (CDT) due to their higher catalytic efficiency and simple reaction conditions. Here, hollow cuprous oxide@nitrogen‐doped carbon (HCONC) dual‐shell structures are designed as CDT oncotherapy. This HCONC with a size distribution of 130 nm is synthesized by one‐step hydrothermal method using cupric nitrate dimethyl formamide precursors. The thin‐layer (1.88 nm) enhances the water‐stability...
This paper proposes a tunable sensing detector based on Bulk Dirac semimetals (BDS). The bottom-middle-top structure of the is metal-dielectric-Dirac semimetal. designed simulated in frequency domain by finite element method (FEM). And simulation results indicate that achieves three perfect absorption peaks with absorptivity greater than 99.8% range 2.4-5.2 THz. We analyze cause peak using random phase approximation theory. device exhibits good angular insensitivity different incident angle...
A LiF-involved molten-salt etching method is proposed for yielding delaminatable MXenes with comparable quality and supercapacitive performance to those made by solution etching. This approach combines the benefits of in processability high exfoliation efficiency solution-based method.
Tunable fabrication of noble-metal hollow nanoparticle chains (HNPCs) is achieved by a strategy that exploits the variation an external applied magnetic field during synthesis (see figure). The magnitude has strong effect on nanoparticles assembly, ranging from disperse to chainlike. length and optical properties HNPCs can be tuned, such may provide enhanced functionality for applications as drug delivery or catalysis. Supporting information this article available WWW under...
Lamb wave approaches have been accepted as efficiently non-destructive evaluations in structural health monitoring for identifying damage different states. Despite significant efforts signal process of waves, physics-based prediction is still a big challenge due to complexity nature the when it propagates, scatters and disperses. Machine learning recent years has created transformative opportunities accelerating knowledge discovery accurately disseminating information where conventional...
Abstract The high melting point and strong chemical bonding of NbB 2 pose a great challenge to the preparation high-density nanostructured composite coating. Herein, we report novel, simple, efficient method fabricate in-situ -NbC-Al O 3 coating by plasma spraying Nb 5 -B 4 C-Al powder, aiming at realizing higher densification ultra-fine microstructure properties were studied comparatively with ex-situ (plasma powder). reaction mechanism powder in jet was analyzed detail. results showed that...
Corrosion and corrosion-induced damage have resulted mostly in malfunctions sometimes even failures of metallic structures, including oil gas pipelines. In this study, new high-performance composite coatings were developed by incorporating nanoparticles the polymer resins with applications to The graphene nanoplatelets under different concentrations used prepare epoxy-based nanocomposites then evaluated through mechanical electrical tests. integration high-speed disk ultrasonication adopted...
While nanoparticles from the carbon family have been incorporated effectively for polymer matrixes, there is no clear information available understanding impacts of morphology different on performance carbon-based nanocomposites. Therefore, this study aimed to provide a comprehensive, comparative investigation systematically assess tribological, mechanical, and electrochemical properties epoxy coatings using three representative 0D, 1D, 2D nanoparticles: Fullerene-C60 (C60), graphene...
The motor imagery (MI) based brain-computer interfaces (BCIs) have been proposed as a potential physical rehabilitation technology. However, the low classification accuracy achievable with MI tasks is still challenge when building effective BCI systems. We propose novel model on measurement of functional connectivity between brain regions and graph theory. Specifically, motifs describing local network structures in are extracted from graphs. A embedding called Ego-CNNs then used to build...