Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2022Rehydration of the Tendon Fascicle Bundles Using Simulated Body Fluid Ensures Stable Mechanical Properties of the Samples3citations
  • 2022Recent advances in MXene-based sensors for Structural Health Monitoring applications: A review45citations
  • 2022Recent advances in MXene-based sensors for Structural Health Monitoring applications: A review45citations
  • 2021Micromechanical modeling of nacre-mimetic Ti 3 C 2 -MXene nanocomposites with viscoelastic polymer matrix2citations
  • 2021Micromechanical modeling of nacre-mimetic Ti3C2-MXene nanocomposites with viscoelastic polymer matrix2citations
  • 2020Deformation of bioinspired MXene-based polymer composites with brick and mortar structures: A computational analysis17citations
  • 2020Deformation of bioinspired MXene-based polymer composites with brick and mortar structures: A computational analysis17citations

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Chart of shared publication
Vashisth, Aniruddh
2 / 3 shared
Mishnaevsky, Leon
3 / 52 shared
Uhl, Tadeusz
6 / 7 shared
Srivatsa, Shreyas
6 / 6 shared
Leon, Mishnaevsky Jr.
3 / 10 shared
Packo, Pawel
2 / 2 shared
Paćko, Paweł
2 / 2 shared
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Co-Authors (by relevance)

  • Vashisth, Aniruddh
  • Mishnaevsky, Leon
  • Uhl, Tadeusz
  • Srivatsa, Shreyas
  • Leon, Mishnaevsky Jr.
  • Packo, Pawel
  • Paćko, Paweł
OrganizationsLocationPeople

article

Recent advances in MXene-based sensors for Structural Health Monitoring applications: A review

  • Vashisth, Aniruddh
  • Grabowski, Krzysztof
  • Mishnaevsky, Leon
  • Uhl, Tadeusz
  • Srivatsa, Shreyas
Abstract

Structural Health Monitoring (SHM) has a major role to play in the damage identification strategy of engineering structures. Sensors form an integral part of SHM and the development of sensors with minimum effect on measuring physical parameters leads to effective monitoring. The exciting discovery of MXene nanomaterials has made a tremendous impact on the field of sensors for various applications ranging from wearable health sensors to gas sensors. This review paper explores the sensing capabilities of MXene nanomaterials for SHM of engineering structures. MXenes are a family of two-dimensional nanomaterials with carbide or nitride layer (X layer) sandwiched between transition metal layers (M-layer); with more than 100 unique stoichiometric MXene combinations discovered to date, these nanomaterials can achieve wide tunability by varying ratios of M or X layers. Monolayer Titanium Carbide (<i>Ti<sub>3</sub>C<sub>2</sub></i>) MXenes are widely used for sensing applications and these MXenes have 330 ± 30 GPa modulus, 2.31 ± 0.57 <i>μ</i> Ω.m electrical resistivity, and 2.6  ± 0.7 cm<sup>2</sup>V<sup>-1</sup>s<sup>-1</sup> field-electron mobility. The review paper first covers the physical and chemical properties of MXene and MXene composites. Next, various MXene sensors developed in recent years are compared with conventional sensors; for example, <i>Ti<sub>3</sub>C<sub>2</sub></i>-MXene sensors have shown impressive response times as low as 7.13  ± 1.28 <i>μ</i>s which are comparable to piezoceramic sensors and outperform piezoresistive-type silicon sensors (for similar shocktube experiments). Additionally, recent advances in computational models for MXenes and their nanocomposites are provided to discuss further possibilities of virtual model development for the design of sensors. Sources of uncertainties of both physical sensors and computational models are discussed along with the effect of MXene material properties on measurement concepts like repeatability, reliability, and error estimation, etc., of the sensors. The purpose of reviewing both physical and computational models is to facilitate the use of MXene nanomaterial-based sensors in SHM applications. 

Topics
  • nanocomposite
  • impedance spectroscopy
  • resistivity
  • mobility
  • experiment
  • nitride
  • carbide
  • Silicon
  • titanium
  • two-dimensional