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

Journal Article · · Sensors
DOI: https://doi.org/10.3390/s24237665 · OSTI ID:2479819

A review of different modeling techniques, specifically in the framework of carbon-based nanomaterials (CNMs, including nanoparticles such as graphene and carbon nanotubes—CNTs) and the composites and devices that can be derived from them, is presented. The article emphasizes that the overall performance of these materials depends on mechanisms that operate across different time and spatial scales, requiring tailored approaches based on the material type, size, internal structure/configuration, and the specific properties of interest. Far from attempting to cover the entire spectrum of models, this review examines a wide range of analysis and simulation techniques, highlighting their potential use, some of their weaknesses and strengths, and presenting the latest developments and some application examples. In this way, it is shown how modeling can provide key information for tailoring or designing new materials for specific components or systems or to obtain certain functionalities. At the same time, it is revealed to be an area constantly undergoing development and improvement, as evidenced by the progress made by various of these techniques and the new modeling approaches that have emerged in recent years.

Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Fuel Cell Technologies Office
OSTI ID:
2479819
Journal Information:
Sensors, Journal Name: Sensors Journal Issue: 23 Vol. 24; ISSN SENSC9; ISSN 1424-8220
Publisher:
MDPI AGCopyright Statement
Country of Publication:
Switzerland
Language:
English

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