Ziye Zhang

ORCID: 0009-0005-0183-0131
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About
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Research Areas
  • Neural Networks Stability and Synchronization
  • Neural Networks and Applications
  • Advanced Memory and Neural Computing
  • Distributed Control Multi-Agent Systems
  • Advanced Thermoelectric Materials and Devices
  • stochastic dynamics and bifurcation
  • Thermal properties of materials
  • Nonlinear Dynamics and Pattern Formation
  • Metamaterials and Metasurfaces Applications
  • Adaptive Control of Nonlinear Systems
  • Transition Metal Oxide Nanomaterials
  • Gas Sensing Nanomaterials and Sensors
  • Topological Materials and Phenomena
  • Terahertz technology and applications
  • Chalcogenide Semiconductor Thin Films
  • Robotic Path Planning Algorithms
  • Microwave Engineering and Waveguides
  • Stability and Controllability of Differential Equations
  • 2D Materials and Applications
  • Control and Dynamics of Mobile Robots
  • Recommender Systems and Techniques
  • Bioinformatics and Genomic Networks
  • Ultrasonics and Acoustic Wave Propagation
  • Infrastructure Maintenance and Monitoring
  • Underwater Vehicles and Communication Systems

Tianjin University of Technology
2021-2024

Sichuan University
2024

Wuhan University
2019-2023

Anhui University
2023

Capital Normal University
2020-2023

Xianyang Normal University
2023

Shandong University of Science and Technology
2017-2022

Institute of Physics
2022

Chinese Academy of Sciences
2022

Hohai University
2021

Abstract In the quest for emerging in-sensor computing, materials that respond to optical stimuli in conjunction with non-volatile phase transition are highly desired realizing bioinspired neuromorphic vision components. Here, we report a multi-level control of VO 2 films by oxygen stoichiometry engineering under ultraviolet irradiation. Based on reversible regulation using irradiation and electrolyte gating, demonstrate proof-of-principle sensor integrated sensing, memory, processing...

10.1038/s41467-022-29456-5 article EN cc-by Nature Communications 2022-04-01

The stability problem for delayed complex-valued recurrent neural networks is considered in this paper. By separating into real and imaginary parts, forming an equivalent real-valued system, constructing appropriate Lyapunov functional, a sufficient condition to ascertain the existence, uniqueness, globally asymptotical of equilibrium point systems provided terms linear matrix inequality. Meanwhile, errors recent work are pointed out, even if result therein correct, it shown that our not...

10.1109/tnnls.2013.2288943 article EN IEEE Transactions on Neural Networks and Learning Systems 2013-11-19

Iron-based electrode materials are widely investigated for robust and high-performance SOCs because of their low-cost the appropriate valence stability Fe–O bond to exhibit excellent redox activity across a wide range functions.

10.1039/d1ee01420j article EN Energy & Environmental Science 2021-01-01

Abstract The relatively short‐lived excited states, such as the nascent electron–hole pairs (excitons) and shallow trapping in semiconductor‐based photocatalysts produce an exceptionally high charge carrier recombination rate, dominating a low solar‐to‐fuel performance. Here, π‐conjugated in‐plane heterostructure between graphitic carbon nitride (g‐CN) rings (C ) (labeling g‐CN/C is effectively synthesized from thermolysis of melamine–citric acid aggregates via microwave‐assisted heating...

10.1002/smll.202207173 article EN Small 2023-02-05

Abstract With their unique advantages in portability, shape adaptability, and human friendly surfaces, flexible electronics pave the way for implementation of wearable electronic textiles human–machine interfaces. Although organic materials are promising devices because low‐cost manufacturing inherent flexibility, they meet challenges harsh environments such as ultraviolet (UV) irradiation, which limits applicability UV sensors. Here, a neuromorphic sensor is presented using inorganic...

10.1002/adfm.202203074 article EN Advanced Functional Materials 2022-05-03

The thermoelectric conversion efficiency <italic>η</italic> in the Bi<sub>2</sub>O<sub>2</sub>S monolayer (bilayer) has been enhanced by 75% (42%) through dimensionality reduction.

10.1039/c9tc04648h article EN Journal of Materials Chemistry C 2019-01-01

Mg3Sb2 as a Zintl compound is promising thermoelectric material with the intrinsically low lattice thermal conductivity and excellent n-type electrical properties, but its p-type transport properties are poor. Here, performance of under effect biaxial strain investigated by using first-principles method Boltzmann theory. The application enables tuning band structure in such way that degeneracy both conduction valence increases. As increases, Seebeck coefficient has remarkable increase,...

10.1016/j.jmat.2022.02.001 article EN cc-by-nc-nd Journal of Materiomics 2022-02-24

The thermoelectric figure of merit (<italic>ZT</italic>) in LaPtBi shows an overall increase with increasing hydrostatic pressure.

10.1039/d0cp01442g article EN Physical Chemistry Chemical Physics 2020-01-01

Low thermal conductivity is crucial for obtaining a promising thermoelectric (TE) performance in semiconductors. In this work, the TE properties of Cu4TiS4 and Cu4TiSe4 were theoretically investigated by carrying out first-principles calculations solving Boltzmann transport equations. The calculated results reveal lower sound velocity compared to that Cu4TiS4, which due weaker chemical bonds crystal orbital Hamilton population (COHP) also larger atomic mass Cu4TiSe4. addition, strong lattice...

10.1021/acsami.3c05602 article EN ACS Applied Materials & Interfaces 2023-06-27

In this article, an improved particle swarm optimization (IPSO) algorithm based on similarity and random mutation is raised. The diversity of particles in the population decided by size aggregation. When aggregation degree surpass a certain threshold, concept used to measure between global extremum, with higher are discretized strategy. By increasing swarm's diversity, population's local search ability tend balance. weight threshold back propagation (BP) neural networks optimized IPSO...

10.1109/access.2021.3102669 article EN cc-by IEEE Access 2021-08-05
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