Computational and experimental analysis of carbon functional nanomaterials
- Citation:
- Veerakumar, P., DLNK-C. 2020. Computational and experimental analysis of carbon functional nanomaterials.
Abstract:
Density functional theory (DFT) as one of molecular simulation techniques has been widely used to become rapidly a powerful tool for research and technology development for the past three decades. In particular, the DFT-based theoretical and fundamental knowledge have shed light on our understanding of the fundamental surface science, catalysis, sensors, materials science, and biology. Oxygen, nitrogen, boron, phosphorus, and sulfur are the most common heteroatoms introduced on the functional carbon nanomaterials surface with different surface functionalities. This book chapter aims to provide a pedagogical narrative of the DFT and relevant computational methods applied for surface chemistry, homogeneous/heterogeneous catalysis, and the fluorescence-based sensing properties of carbon nanomaterials. We overview several representative case studies associated with energy and chemicals production and discuss relevant principles of computationally driven carbon nanomaterials design.
