Nano simulation employs various computational techniques to model the behavior of nanoscale systems. Some of the commonly used methods include:
Molecular Dynamics (MD): This technique involves simulating the physical movements of atoms and molecules over time, providing insights into their dynamic behavior. Density Functional Theory (DFT): DFT is used to investigate the electronic structure of atoms, molecules, and solids, helping understand their electronic properties. Monte Carlo Simulations: These are statistical methods used to model the probability of different states in a system, useful for studying phase transitions and thermodynamic properties. Finite Element Analysis (FEA): FEA is used to solve complex structural and mechanical problems by dividing the system into smaller, manageable parts.
