Jiaqi Zhu

ORCID: 0000-0002-2142-7260
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About
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Research Areas
  • Diamond and Carbon-based Materials Research
  • Metal and Thin Film Mechanics
  • Semiconductor materials and devices
  • ZnO doping and properties
  • Electronic and Structural Properties of Oxides
  • High-pressure geophysics and materials
  • Thermal properties of materials
  • Antenna Design and Analysis
  • Copper-based nanomaterials and applications
  • Metamaterials and Metasurfaces Applications
  • Thin-Film Transistor Technologies
  • Graphene research and applications
  • Advanced Antenna and Metasurface Technologies
  • Carbon Nanotubes in Composites
  • Advanced Sensor and Energy Harvesting Materials
  • Advanced materials and composites
  • Nanofluid Flow and Heat Transfer
  • Supercapacitor Materials and Fabrication
  • Gas Sensing Nanomaterials and Sensors
  • Surface Modification and Superhydrophobicity
  • Solar-Powered Water Purification Methods
  • Thermal Radiation and Cooling Technologies
  • Advanced ceramic materials synthesis
  • Transition Metal Oxide Nanomaterials
  • Advanced Surface Polishing Techniques

Harbin Institute of Technology
2016-2025

Ministry of Education of the People's Republic of China
2017-2025

Guizhou Institute of Technology
2024-2025

Xidian University
2023-2024

Inner Mongolia University of Science and Technology
2023-2024

Peking University
2024

Northern Illinois University
2020-2024

Guangzhou University
2023-2024

Northwest A&F University
2024

Shaanxi University of Science and Technology
2020-2024

Small but strong carbon nanotubes (CNTs) are fillers of choice for composite reinforcement owing to their extraordinary modulus and strength. However, the mechanical properties nanocomposites still much below those parameters individual nanotubes. The gap between expectation experimental results arises not only from imperfect dispersion poor load transfer also unavailability polymers that can be effectively utilized within composites Aramid nanofibers (ANFs) with analogous morphological...

10.1021/nn504927e article EN ACS Nano 2015-02-25

Stretching diamond to the limit Diamond is thought of as being unbendable, but thin samples can actually deform elastically. Applying relatively large amounts strain may shift its electronic properties, which interest for a number applications. Dang et al. elastically stretched micrometer-sized plates along different crystallographic directions. These show that deep-strain engineering be accomplished in more uniform specimens and have impact on properties. Science , this issue p. 76

10.1126/science.abc4174 article EN Science 2020-12-31

Heterogeneous materials with randomly distributed pores are ubiquitous, such as sintered silver nanoparticles, concrete materials, 3D printed polymers, and natural bones. Recent experimental investigations have revealed that porosity also pore-related geometries (size, number, shape, distribution alignment) significant impacts on the mechanical behavior of random porous materials. However, existing studies focus effect while ignoring other pore features size shape. Our research is dedicated...

10.1016/j.ijsolstr.2022.112098 article EN cc-by International Journal of Solids and Structures 2022-12-29

Abstract The dynamic control of electromagnetic waves is a persistent pursuit in modern industrial development. state-of-the-art devices suffer from limitations such as narrow bandwidth, limited modulation range, and expensive features. To address these issues, we fuse origami techniques with metamaterial design to achieve ultra-wideband large-depth reflection modulation. Through folding process, our proposed achieves over 10-dB depth 4.96 – 38.8 GHz, fractional bandwidth 155% tolerance...

10.1038/s41467-024-46907-3 article EN cc-by Nature Communications 2024-04-12

This paper presents an innovative numerical modeling framework capable of generating highly realistic 3D mesoscale multi-phase concrete models with unprecedented efficiency and accuracy. Addressing a significant wide range in aggregate volume fraction (0 to 80%) featuring rapid model generation capabilities, our marks breakthrough reducing computational time—achieving simulations 1 million elements within mere 30 s on readily available hardware. By analyzing randomly generated samples across...

10.1016/j.matdes.2024.113159 article EN cc-by-nc Materials & Design 2024-07-10

10.1016/j.ijheatmasstransfer.2017.01.005 article EN International Journal of Heat and Mass Transfer 2017-01-21

Graph Neural Networks (GNNs) extend basic (NNs) by using graph structures based on the relational inductive bias (homophily assumption). While GNNs have been commonly believed to outperform NNs in real-world tasks, recent work has identified a non-trivial set of datasets where their performance compared is not satisfactory. Heterophily considered main cause this empirical observation and numerous works put forward address it. In paper, we first revisit widely used homophily metrics point out...

10.48550/arxiv.2210.07606 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Silylated MXene/BC aerogels demonstrate great potential for practical applications, considering the simultaneous realization of high electrical conductivity, superior hydrophobicity, and excellent reversible compressibility.

10.1039/d2ta06621a article EN Journal of Materials Chemistry A 2022-01-01

Polymer-based thermally conductive materials are preferred for heat dissipation owing to their low density, flexibility, cost, and easy processing. Researchers have been trying develop a polymer-based composite film with excellent thermal conductivity (TC), mechanical strength, stability, electrical properties. However, synergistically achieving these properties in single material is still challenge. To address the above requirements, we prepared poly(diallyldimethylammonium...

10.1021/acsami.3c02574 article EN ACS Applied Materials & Interfaces 2023-05-22
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