Several types of algorithms are prevalent in nanotechnology:
Molecular Dynamics (MD): Used for simulating the physical movements of atoms and molecules. Density Functional Theory (DFT): Employed for quantum mechanical modeling of the electronic structure of molecules. Machine Learning (ML): Applied for predictive modeling and pattern recognition in large datasets. Monte Carlo Methods: Utilized for statistical sampling to solve physical and mathematical problems.
