The strong nuclear force is not typically considered in Molecular Dynamics simulations due to its extremely short range and its dominance at subatomic scales.

Molecular Dynamics simulations employ classical mechanics to calculate the potential energy of a system, assuming that particles behave according to Newtonian physics.

The Runge-Kutta algorithm is not commonly used in Molecular Dynamics simulations due to its computational cost and the availability of more efficient algorithms specifically designed for this purpose.

Thermostats are used in Molecular Dynamics simulations to maintain a constant temperature by adjusting the kinetic energies of the particles.

Reflective boundary conditions are not commonly used in Molecular Dynamics simulations because they can lead to unphysical behavior at the boundaries of the simulation box.

The accuracy of a Molecular Dynamics simulation is primarily determined by the quality of the force field used to describe the interactions between particles.

Molecular Dynamics simulations are not commonly used in nuclear physics due to the need to consider quantum effects, which are beyond the scope of classical mechanics.

Molecular Dynamics simulations typically operate on the femtosecond to picosecond time scale, allowing for the study of ultrafast processes.

Electron density maps are not typically obtained from Molecular Dynamics simulations, as they require quantum mechanical calculations.

The primary challenge in developing accurate force fields lies in capturing the complex nature of interatomic interactions, which involve a combination of electrostatic, van der Waals, and other forces.

Quantum mechanics is not a technique used to enhance the sampling efficiency of Molecular Dynamics simulations, as it requires a different theoretical framework.

The primary limitation of Molecular Dynamics simulations in terms of system size is the computational cost, which increases significantly as the number of particles in the system grows.

Gaussian is a quantum chemistry software package, while NAMD, GROMACS, and Amber are commonly used for Molecular Dynamics simulations.

Molecular Dynamics simulations offer the unique advantage of providing detailed insights into the atomic-level behavior of molecules, which is often difficult or impossible to obtain through experimental techniques.