Modeling Carbon-Based Nanomaterials (CNMs) and Derived Composites and Devices.

Area of Science:

• Materials Science and Engineering
• Computational Modeling
• Nanotechnology

Background:

• Carbon-based nanomaterials (CNMs) offer unique properties for advanced applications.
• Their performance is governed by complex mechanisms across various scales.
• Effective modeling is crucial for harnessing their full potential.

Purpose of the Study:

• To review and analyze diverse modeling techniques for CNMs.
• To highlight the strengths, weaknesses, and latest developments in CNM modeling.
• To demonstrate how modeling aids in designing tailored CNM-based materials and devices.

Main Methods:

• Comprehensive literature review of analysis and simulation techniques.
• Focus on modeling approaches for graphene, carbon nanotubes, and their composites.
• Evaluation of techniques based on material characteristics and properties of interest.

Main Results:

• Modeling requires tailored approaches considering material type, size, and structure.
• Various techniques offer insights into multi-scale phenomena governing CNM performance.
• Recent advancements have expanded the scope and accuracy of CNM modeling.

Conclusions:

• Modeling is indispensable for designing novel CNM-based materials and devices.
• The field of CNM modeling is dynamic, with continuous improvements and emerging approaches.
• Optimized modeling strategies are essential for achieving specific functionalities in CNM applications.