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The molecular orbital theory describes the distribution of electrons in molecules in a manner similar to the distribution of electrons in atomic orbitals. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Mathematically, the linear combination of atomic orbitals (LCAO) generates molecular orbitals. Combinations of in-phase atomic orbital wave functions result in regions with a high probability of electron density, while...
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Mo-based MXenes: Synthesis, properties, and applications.

Iftikhar Hussain1, Umay Amara2, Faiza Bibi3

  • 1Department of Mechanical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Hong Kong.

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|January 14, 2024
PubMed
Summary
This summary is machine-generated.

This review highlights emerging Molybdenum-based MXenes (Mo-MXenes) as promising alternatives to Titanium-MXenes (Ti-MXenes). Mo-MXenes offer tunable optoelectronic and electrochemical properties for energy, catalysis, and sensing applications.

Keywords:
2D materialAdvancementsApplicationsMXenesMo-MXenesSynthesis

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Chemistry

Background:

  • Titanium-MXenes (Ti-MXenes) offer tunable electronic and electrochemical properties.
  • Non-Ti-based MXenes, particularly Molybdenum-MXenes (Mo-MXenes), present emerging opportunities.
  • Mo-MXenes exhibit remarkable optoelectronic and electrochemical characteristics.

Purpose of the Study:

  • To systematically review synthesis procedures, tuning parameters, and properties of Mo-MXenes.
  • To compare Mo-MXenes with Ti-MXenes for various applications.
  • To evaluate the role of artificial intelligence (AI) and machine learning (ML) in Mo-MXene development.

Main Methods:

  • Comprehensive literature review of synthesis and characterization of Mo-MXenes.
  • Analysis of physiochemical properties, structural evaluation, and stability challenges.
  • Evaluation of AI/ML applications in controlling Mo-MXene properties.

Main Results:

  • Mo-MXenes demonstrate significant potential in energy, catalysis, and sensing.
  • Detailed discussion on synthesis, properties, and stability of Mo-MXenes.
  • AI/ML tools are crucial for precise control and advanced applications of Mo-MXenes.

Conclusions:

  • Mo-MXenes are a promising class of 2D materials with advantages over Ti-MXenes.
  • Further research is needed to overcome stability challenges and optimize applications.
  • AI/ML integration will accelerate the development and practical use of Mo-MXenes.