Dawei Zhang
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Per- and Polyfluoroalkyl Substances in Potential Drinking Water Sources Globally: Distributions, Monitoring Trends, and Risk Assessment Open
Due to widespread industrial applications and increased discharges, concentrations of polyfluoroalkyl substances (PFAS) in potential drinking water sources have risen significantly, putting more people at risk of PFAS exposure. This study …
View article: Study on the effect of welding on the properties of ceramic coating
Study on the effect of welding on the properties of ceramic coating Open
The ceramic coating sprayed on the surface of the metal parts can protect the metal from corrosion by the medium in the environment and can also isolate the galvanic corrosion between the dissimilar metals, which is an effective anti-corro…
Effect verification of ceramic coating crack repair based on penetration method Open
Ceramic coating can effectively isolate the dissimilar metal contact between the pipes of the seawater system, block the circuit of the chemical battery, and improve the anti-corrosion performance of the pipes. However, after welding, the …
The Role of Lipid Metabolic Reprogramming in the Hibernation of Chipmunks Open
Liver, the center of substance metabolism, plays a vital role in the hibernation of mammals, a topic arousing increasing interest from researchers around the world. However, it remains unclear how the liver regulates energy metabolism duri…
Improved genetic algorithm-based optimization of filler rod design in photonic crystal fiber packaging with an antagonism balance criterion Open
The use of the stack-and-draw method to fabricate photonic crystal fibers (PCFs) depends on the precise optimization of filler rod parameters, such as the size, positional accuracy, and tolerance. Traditional manual design methods employin…
Effect of Environmental and Intrapersonal Factors on Leisure-Time Physical Activity of Chinese Rural Older People in Zhejiang Province Open
Objective: The purpose of this study was to investigate the association of built environment and intrapersonal factors with leisure-time physical activity (LTPA), and the possible moderating effect of intrapersonal factors on the associati…
Hybrid heat-source solid-state additive manufacturing of 5A06 deposition with favorable mechanical and electrochemical performance Open
The HHSAMed 5A06 deposition, produced through hybrid heat-source solid-state additive manufacturing (HHSAM), demonstrates a more uniform microstructure and enhanced microhardness, with a measured value of 89.9 HV0.5. Additionally, it exhib…
View article: Improving corrosion and microbial corrosion resistance of CoCrFeNi high entropy alloy in marine environment by trace amount of Ce addition
Improving corrosion and microbial corrosion resistance of CoCrFeNi high entropy alloy in marine environment by trace amount of Ce addition Open
Microorganisms in marine environments are able to accelerate the local dissolution of passive films formed on high entropy alloy surfaces, significantly reducing the corrosion resistance. The addition of trace amounts of Ce has been report…
Layer normalized OpenGAN framework for human intrusion activity recognition in a φ-OTDR optical fiber sensing system Open
Distributed optical fiber vibration sensing systems (DVS) are widely employed in perimeter security for their high sensitivity, simplicity, and strong immunity to electromagnetic interference. However, these systems are facing with two ser…
Influence of calcium sources on the bio-mineralization behavior of Shewanella putrefaciens and induced microbiologically influenced corrosion inhibition Open
The influence of different calcium sources on the mineralization behavior of Shewanella putrefaciens and their roles in microbiologically influenced corrosion inhibition (MICI) of Q235 carbon steel were investigated. Calcium lactate, calci…
Variable-focus flexible cylindrical lens based on near-infrared light-driven liquid crystal elastomers Open
This study explores a flexible cylindrical lens driven by near-infrared (NIR) light at 1200 mW and 808 nm. The design combines liquid-crystal elastomers (LCEs), as the driving component, with a highly transparent, deformable, and stable PD…
Research on the Spatial Distribution Characteristics and Inhalation Health Risk Assessment of Bacterial Aerosols in Spraying Environments Open
As a key water source for urban landscape entertainment and miscellaneous municipal uses, the reuse safety of reclaimed water has attracted much attention. Given the deficiencies in the current research on bacterial aerosol-related risks, …
Strategic Integration: A Cross-Disciplinary Review of the fNIRS-EEG Dual-Modality Imaging System for Delivering Multimodal Neuroimaging to Applications Open
Background: Recent years have seen a surge of interest in dual-modality imaging systems that integrate functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to probe brain function. This review aims to explore the …
Inhibitor_Mol_VAE: a variational autoencoder approach for generating corrosion inhibitor molecules Open
Deep learning-based generative modeling demonstrates proven advantages as an effective approach in molecular discovery. This study introduces a generative-network based method called Inhibitor_Mol_VAE, which uses a variational autoencoder …
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data Open
Uncertainty estimation is crucial in scientific data for machine learning. Current uncertainty estimation methods mainly focus on the model's inherent uncertainty, while neglecting the explicit modeling of noise in the data. Furthermore, n…
View article: Machine learning-assisted prediction and optimization of solid oxide electrolysis cell for green hydrogen production
Machine learning-assisted prediction and optimization of solid oxide electrolysis cell for green hydrogen production Open
The solid oxide electrolysis cell (SOEC) holds great promise to efficiently convert renewable energy into hydrogen. However, traditional modeling methods are limited to a specific or reported SOEC system. Therefore, four machine learning m…
View article: The effect of topological design on the degradation behavior of additively manufactured porous zinc alloy
The effect of topological design on the degradation behavior of additively manufactured porous zinc alloy Open
The advent of additively manufactured biodegradable porous metals presents a transformative opportunity to meet the criteria of ideal bone substitutes. Precisely tailoring their degradation behavior constitutes a pivotal aspect of this end…
Red Emitting Solid-State CDs/PVP with Hydrophobicity for Latent Fingerprint Detection Open
Fluorescent carbon dots (CDs) are a new type of photoluminescent nanomaterial. Solid-state CDs usually undergo fluorescence quenching due to direct π-π* interactions and superabundant energy resonance transfer. Therefore, the preparation o…
View article: D-amino acid/gentamicin loaded zwitterionic hydrogel coatings with optimized mechanical stability and biofilm inhibition capabilities
D-amino acid/gentamicin loaded zwitterionic hydrogel coatings with optimized mechanical stability and biofilm inhibition capabilities Open
Biofilms associated bacterial infections on material surfaces have become a tremendous biomedical challenge. Developing antimicrobial coatings on biomaterial surfaces and endowing them with decent mechanical stability and biofilm inhibitio…
Self‐healing anti‐corrosion coatings: A mechanism study using computational materials science Open
Self‐healing coatings possess the remarkable ability to autonomously mend damages and restore their corrosion protection capabilities, which are compromised due to environmental influences or external forces. The progression of computation…
A comparative study of machine learning in predicting the mechanical properties of the deposited AA6061 alloys via additive friction stir deposition Open
Additive friction stir deposition (AFSD) provides strong flexibility and better performance in component design, which is controlled by the process parameters. It is an essential and difficult task to tune those parameters. The recent expl…
Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection Open
Machine learning is a powerful means for the rapid development of high-performance functional materials. In this study, we presented a machine learning workflow for predicting the corrosion resistance of a self-healing epoxy coating contai…