Combining Metadynamics and Integrated Tempering Sampling.

Area of Science:

• Computational chemistry
• Materials science
• Chemical physics

Background:

• Simulating rare events in atomistic models presents a significant computational challenge.
• Existing methods for rare event simulation often require substantial computational resources or are system-specific.

Purpose of the Study:

• To develop and validate a novel computational method for efficiently simulating rare events.
• To enhance the exploration of complex energy landscapes in atomistic simulations.

Main Methods:

• Combining metadynamics, which amplifies collective variable fluctuations, with integrated tempering sampling, which promotes uniform energy sampling across temperatures.
• Applying the combined method to a S_N2 chemical reaction and the freezing of silica.

Main Results:

• The integrated metadynamics and integrated tempering sampling approach proved effective for both systems studied.
• A significant acceleration, exceeding one order of magnitude, was observed for the freezing of silica simulations.

Conclusions:

• The synergistic combination of metadynamics and integrated tempering sampling offers a powerful and efficient strategy for rare event simulation.
• This enhanced sampling technique holds promise for accelerating atomistic simulations of complex phenomena in chemistry and materials science.