Zelin Cao

ORCID: 0009-0006-3695-5759
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Research Areas
  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • Ferroelectric and Negative Capacitance Devices
  • Photoreceptor and optogenetics research
  • Nuclear Materials and Properties
  • Fusion materials and technologies
  • Transition Metal Oxide Nanomaterials
  • Advanced materials and composites
  • Metal and Thin Film Mechanics
  • Advanced Chemical Physics Studies
  • Advanced Condensed Matter Physics
  • Rare-earth and actinide compounds
  • Perovskite Materials and Applications
  • Oral microbiology and periodontitis research
  • Solid-state spectroscopy and crystallography
  • Orthopaedic implants and arthroplasty
  • Inorganic Chemistry and Materials
  • Chaos control and synchronization
  • Conducting polymers and applications
  • Superconductivity in MgB2 and Alloys
  • Neural dynamics and brain function
  • Monoclonal and Polyclonal Antibodies Research
  • stochastic dynamics and bifurcation
  • Heme Oxygenase-1 and Carbon Monoxide
  • Bone Tissue Engineering Materials

Xi'an Jiaotong University
2023-2025

Wenzhou Medical University
2022-2024

First Affiliated Hospital of Xi'an Jiaotong University
2023-2024

Southwest Jiaotong University
2019-2023

Xijing University
2022-2023

Abstract In the era of information, characterized by an exponential growth in data volume and escalating level abstraction, there has been a substantial focus on brain‐like chips, which are known for their robust processing power energy‐efficient operation. Memristors widely acknowledged as optimal electronic devices realization neuromorphic computing, due to innate ability emulate interconnection information transfer processes witnessed among neurons. This review paper focuses...

10.1002/adma.202310704 article EN Advanced Materials 2024-01-02

Memristors, promising nanoelectronic devices with in-memory resistive switching behavior that is assembled a physically integrated core processing unit (CPU) and memory even possesses highly possible multistate electrical behavior, could avoid the von Neumann bottleneck of traditional computing show efficient ability parallel computation high information storage. These advantages position them as potential candidates for future data-centric requirements add remarkable vigor to research...

10.1021/acsnano.3c07384 article EN ACS Nano 2023-12-28

Abstract Benefiting from powerful logic‐computing, higher packaging density, and extremely low electricity consumption, memristors are regarded as the most promising next‐generation of electric devices capable realizing brain‐like neuromorphic computation. However, design emerging circuit based on their potential application in unconventional fields very meaningful for achieving some tasks that traditional electronic cannot accomplish. Herein, a Cu/PEDOT:PSS‐PP:PVDF/Ti structured memristor...

10.1002/adfm.202401132 article EN Advanced Functional Materials 2024-03-13

Abstract Due to its powerful brain‐like parallel computing and efficient data processing capabilities, memristors are considered be the core components for building next generation of artificial intelligence systems. In this study, CeO x /WO y heterojunction is employed as functional layer, various metal materials utilized top electrode fabricate memristor. The results indicate that memristive performance Ag/CeO /ITO device can improved by using Ag electrode. By studying conductivity...

10.1002/adfm.202313219 article EN Advanced Functional Materials 2024-01-18

Abstract Zinc (Zn)–dysprosium (Dy) binary alloys are promising biodegradable bone fracture fixation implants owing to their attractive biodegradability and mechanical properties. However, clinical application is a challenge for healing, due the lack of Zn–Dy with tailored proper bio‐mechanical osteointegration properties regeneration. A Zn‐5Dy alloy high strength ductility degradation rate aligned remodeling cycle developed. Here, stability further confirmed, proving that can resist aging in...

10.1002/advs.202307812 article EN cc-by Advanced Science 2024-01-19

The ideal magnetic flux-controlled memristor was introduced into a four-dimensional chaotic system and combined with fractional calculus theory, novel commensurate fractional-order proposed solved using the Adomian decomposition method. orders, parameters, initial values were studied as independent variables in bifurcation diagram Lyapunov exponents spectrum, it discovered that changing these can cause to exhibit more complex rich dynamical behaviors. had an offset boosting, which by adding...

10.3390/fractalfract7010002 article EN cc-by Fractal and Fractional 2022-12-20

This paper systematically reviewed the preparation technologies, research progress, and typical applications of memristors in biomedical fields.

10.1039/d3tc03034b article EN Journal of Materials Chemistry C 2023-11-22

Conventional implantable electronics based on von Neumann architectures encounter significant limitations in computing and processing vast biological information due to computational bottlenecks. The memristor with integrated memory-computing low power consumption offer a promising solution overcome the bottleneck Moore's law of traditional silicon-based devices, making them most candidates for next-generation devices. In this work, highly stable an Ag/BaTiO3/MnO2/FTO structure was...

10.1016/j.mtbio.2024.101096 article EN cc-by-nc-nd Materials Today Bio 2024-05-20

Pulmonary hypertension (PH) significantly affects the quality of life and lifespan humans has promoted development flexible implantable electronic devices for PH diagnosis prevention. Traditional based on von Neumann architecture face insurmountable challenges in processing large amounts biological data due to computational bottlenecks. Memristors, with integrated in-memory sensing computing capabilities, can effectively eliminate bottlenecks become one most promising products health...

10.1002/adma.202411659 article EN Advanced Materials 2024-11-12

Implantable memristors are considered an emerging electronic technology that can simulate brain memory function and demonstrate some promising applications in the biomedical field. However, it remains a critical challenge to enhance their long-term stability biocompatibility implantation environments. In this work, implantable memristor has been successfully fabricated based on TiOx using magnetron sputtering. The device demonstrated excellent thermal recoverability at elevated temperatures,...

10.1021/acsami.4c17297 article EN ACS Applied Materials & Interfaces 2025-01-17

To investigate whether silibinin impacts diabetic periodontitis (DP) via mitochondrial regulation.In vivo, rats were divided into control, diabetes, DP and combined with groups. Diabetes induced by streptozocin silk ligation, respectively. Bone turnover was evaluated microcomputed tomography, histology immunohistochemistry. In vitro, human periodontal ligament cells (hPDLCs) exposed to hydrogen peroxide (H2 O2 ) or without silibinin. Osteogenic function analysed Alizarin Red alkaline...

10.1111/jcpe.13811 article EN Journal Of Clinical Periodontology 2023-03-20

This paper systematically reviews the preparation technologies, research progress, and typical applications of perovskite material-based memristors.

10.1039/d3tc02309e article EN Journal of Materials Chemistry C 2023-01-01

Periodontitis, the second most common oral disease, is primarily initiated by inflammatory responses and osteoclast differentiation, in which MAPK signaling pathway mitochondrial function play important roles. 3-methyl-1H-indol-1-yl dimethylcarbamodithioate (3o), a hybrid of indole dithiocarbamate, was first synthesized our group. It has shown anti-inflammatory activity against lipopolysaccharide-induced acute lung injury. However, it not known if 3o can exert effects periodontitis. In vitro...

10.1111/jre.13239 article EN Journal of Periodontal Research 2024-03-29
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