Chenxu Zhao

ORCID: 0000-0002-9789-9600
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Research Areas
  • Material Properties and Processing
  • Postharvest Quality and Shelf Life Management
  • Aluminum Alloy Microstructure Properties
  • Plant Surface Properties and Treatments
  • Explainable Artificial Intelligence (XAI)
  • Conducting polymers and applications
  • Misinformation and Its Impacts
  • Influenza Virus Research Studies
  • Carbon Nanotubes in Composites
  • Aluminum Alloys Composites Properties
  • Structural Behavior of Reinforced Concrete
  • Concrete Corrosion and Durability
  • Metal Alloys Wear and Properties
  • Semiconductor materials and devices
  • Tree Root and Stability Studies
  • Vaccine Coverage and Hesitancy
  • Corrosion Behavior and Inhibition
  • Metallurgy and Material Science
  • Machine Learning in Materials Science
  • Contact Mechanics and Variational Inequalities
  • Mechanics and Biomechanics Studies
  • Ion-surface interactions and analysis
  • Neural Networks and Applications
  • Electromagnetic wave absorption materials
  • Retinopathy of Prematurity Studies

Shaanxi Normal University
2023-2024

Wuhan University
2023-2024

North China Electric Power University
2024

Peking University People's Hospital
2024

Peking University
2024

Northwestern Polytechnical University
2024

Iowa State University
2024

Fuzhou University
2024

Syracuse University
2021-2024

Ministry of Education of the People's Republic of China
2023

Inspired by the molecular mechanics of mussel adhesive formation, a novel water-soluble fluorescent macromolecule (polydopamine–polyethyleneimine (PDA–PEI)) is prepared one-pot copolymerization dopamine (DA) and PEI. In this method, DA polymerized to form PDA, which then coupled with PEI mainly through Michael addition. The fluorescence property PDA–PEI attributed addition on 5,6-dihydroxyindole (DHI) units where can hydrogen bonds oxidative products such as DHI force twist out plane,...

10.1002/marc.201500021 article EN Macromolecular Rapid Communications 2015-03-19

In order to improve the mechanical properties and corrosion resistance of 2A97 aluminum-lithium alloy, this research develops a novel strain heat-treatment technology. Surprisingly, alloy treated by 4% pre-strain 48 h deep cryogenic aging exhibits excellent properties, whose yield strength, tensile elongation are 573.7 MPa, 593.6 14.25%, respectively. Furthermore, samples above process is two times as much traditional T6 aged. This study deeply investigates influence various precipitates in...

10.1016/j.jmrt.2024.03.213 article EN cc-by-nc-nd Journal of Materials Research and Technology 2024-04-02

This paper proposes a flexible and highly sensitive carbon nanotube buckypaper as sensing layer embedded within composite for cure monitoring applications. The was fabricated with mono-dispersion of multi-wall nanotubes by spray-vacuum filtration method. Six different curing conditions (with maximum heating temperatures 120 °C, 108 95 90 85 °C 75 °C) were designed to characterize analyze the electromechanical response BP sensor structure, results indicated that temperature coefficient...

10.1039/c8ra03445a article EN cc-by-nc RSC Advances 2018-01-01

The goal of this study is to use summary generation and topic modeling identify factors contributing vaccine attitudes for three different brands, with the aim generalizing these across regions.

10.1177/20552076231188852 article EN cc-by-nc-nd Digital Health 2023-01-01

A new method for reporting host–guest inclusion phenomena using an air-supported liquid crystal system based on cyclodextrins was developed.

10.1039/c3cc48885c article EN Chemical Communications 2013-12-20

Despite the recent progress in deep neural networks (DNNs), it remains challenging to explain predictions made by DNNs. Existing explanation methods for DNNs mainly focus on post-hoc explanations where another explanatory model is employed provide explanations. The fact that can fail reveal actual original reasoning process of raises need build with built-in interpretability. Motivated this, many self-explaining have been proposed generate not only accurate but also clear and intuitive...

10.1609/aaai.v38i13.29382 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

Interpreting deep neural networks through examining neurons offers distinct advantages when it comes to exploring the inner workings of Deep Neural Networks. Previous research has indicated that specific within vision possess semantic meaning and play pivotal roles in model performance. Nonetheless, current methods for generating neuron semantics heavily rely on human intervention, which hampers their scalability applicability. To address this limitation, paper proposes a novel post-hoc...

10.1609/aaai.v38i21.30537 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

Microstructure evolution of 0·2C–5Mn steel during the intercritical annealing at different temperatures was studied. It found that microstructure gradually evolved from martensite structure into a consisted austenite and ferrite process. The retained volume fraction reached maximum value 36·5 after about 10 min 680°C. also carbides precipitated initial stage dissolved following process for all temperatures; interestingly, fresh found, indicating part newly forming unstable would transform...

10.1179/1743284713y.0000000416 article EN Materials Science and Technology 2013-10-31

A novel and simple technique for the controllable shrinkage of inverted-pyramid silicon (Si) nanopore arrays is reported. The Si with sizes from 60 to 150 nm, made using a combination dry wet etching, were shrunk sub 10 or even closed, direct dry-oxygen oxidation at 900 ° C. process pyramidal induced by was carefully modeled simulated. simulation found be in good agreement experimental data within most time range. Using this method, square an average size 30 rectangular nanopores nanoslits...

10.1088/0957-4484/24/50/505303 article EN Nanotechnology 2013-11-27

Pull-out tests were conducted to investigate the effects of corrosion both longitudinal bars and stirrups on bond slip behaviour reinforced concrete specimens. The main experimental variables include strength (26.7 MPa, 37.7 MPa 45.2 MPa) expected loss (0%, 4%, 8% 12%), with a total 63 specimens fabricated. results show that relative bonding under different strengths gradually decreases increasing loss, but higher is, faster its degradation rate. influence stirrup peak can be ignored, it...

10.3390/ma16237366 article EN Materials 2023-11-27

Objective This paper aims to understand vaccine hesitancy in the post-epidemic era by analyzing texts related reviews and public attitudes toward three prominent brands: Sinovac, AstraZeneca, Pfizer, exploring relationship of with prevalence epidemics different regions. Methods We collected 165629 Twitter user comments associated brands. The were labeled based on willingness attitude vaccination. utilize a causality deep learning model, Bert multi-channel convolutional neural network...

10.1177/20552076241272712 article EN cc-by-nc-nd Digital Health 2024-01-01

Objectives To examine the ocular biometric parameters and predict annual growth rate of physiological axial length (AL) in Chinese preschool children aged 4–6 years old. Methods This retrospective cross-sectional study included 1090 kindergarten students (1090 right eyes) between ages 4 6 from Pinggu Chaoyang District, Beijing. Dioptre values were ascertained following cycloplegic autorefraction. Predicted AL was obtained through application Gaussian process regression model as an...

10.1136/bmjopen-2024-084891 article EN cc-by-nc-nd BMJ Open 2024-12-01

This study investigated the influence of codoping with Ge and GeO 2 on nonlinear coefficient α breakdown voltage E B TiO –Nb O 5 –SrCO 3 varistor ceramics. Ge–GeO notably changed microstructure ceramics, increased α, decreased . When doping contents Nb SrCO were 0.1 0.2 mol%, respectively, optimum content 0.25 mol% 0.75 exhibited high (11.6), low (13.8 V/mm), grain‐boundary barrier Φ (0.96 eV). These results are superior to previous findings. In addition, , which function as sintering aids,...

10.1111/jace.13921 article EN Journal of the American Ceramic Society 2015-09-24

Drop bruising is among the most common forms of mechanical damage to fruit during postharvest procedures. To minimize inflicted on apples by free falling harvesting, transportation and preservation processes better understand mechanism this damage, paper investigates area contact pressure distribution a drop bruise when an apple certain weight dropped from specific height onto steel substrate. The characteristics were measured using Prescale® pressure-sensitive film subsequently analyzed...

10.1155/2023/4828539 article EN Journal of Food Processing and Preservation 2023-08-24

Template-based surface nanopatterning techniques are highly efficient methods in realizing different nanopatterns, which the fundamental structures of various nanodevices. We demonstrate a template pyramidal silicon nanopore array (PSNA) for direct nanopatterning. Using PSNA templates, deposition experiments platinum (Pt) and gold-palladium (Au-Pd) particles on chromium-coated substrates were performed. Individual Pt nanocubes nanocube arrays with shapes feature sizes as small 82 nm...

10.1117/1.jmm.12.4.041307 article EN cc-by Journal of Micro/Nanolithography MEMS and MOEMS 2013-10-18

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10.1080/10942912.2023.2252197 article EN cc-by International Journal of Food Properties 2023-09-02

Efforts have been made to streamline the abstract as follows. If further changes are we concerned that integrity of content may be compromised. We hope you will understand. This study aimed investigate impact damage experienced by Pucheng crisp pears during various stages, including harvest, transportation, and processing. Drop tests were conducted on pears, considering drop height collision contact material factors influencing damage. The bruise area was used an indicator for evaluation....

10.1080/10942912.2023.2261657 article EN cc-by International Journal of Food Properties 2023-09-21

Despite the recent progress in deep neural networks (DNNs), it remains challenging to explain predictions made by DNNs. Existing explanation methods for DNNs mainly focus on post-hoc explanations where another explanatory model is employed provide explanations. The fact that can fail reveal actual original reasoning process of raises need build with built-in interpretability. Motivated this, many self-explaining have been proposed generate not only accurate but also clear and intuitive...

10.48550/arxiv.2401.01549 preprint EN other-oa arXiv (Cornell University) 2024-01-01

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10.2139/ssrn.4689486 preprint EN 2024-01-01

10.1109/igarss53475.2024.10641332 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2024-07-07
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