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Fragment Molecular Orbital Molecular Dynamics with the Fully Analytic Energy Gradient
Kurt R Brorsen1, Noriyuki Minezawa1, Feng Xu1
1Department of Chemistry and Ames Laboratory, Iowa State University, Ames, Iowa 50011, United States.
Fragment molecular orbital molecular dynamics (FMO-MD) simulations of liquid water show improved energy conservation using a fully analytic energy gradient. This method enhances accuracy compared to approximate gradients, even with fewer body corrections.
Area of Science:
- Computational chemistry
- Molecular dynamics simulations
- Quantum chemistry
Background:
- Fragment molecular orbital (FMO) methods are used for large molecular systems.
- Previous FMO-MD simulations of liquid water employed approximate energy gradients.
- Accurate energy conservation is crucial for reliable molecular dynamics simulations.
Purpose of the Study:
- To investigate the impact of a fully analytic energy gradient on FMO-MD simulations of liquid water.
- To compare the performance of FMO-MD with analytic versus approximate energy gradients.
- To evaluate the role of two-body versus three-body corrections in FMO-MD.
Main Methods:
- Fragment molecular orbital molecular dynamics (FMO-MD) with periodic boundary conditions.
- Utilized a fully analytic energy gradient, including response terms.
- Employed electrostatic potential point charge and electrostatic dimer approximations.
- Performed simulations with FMO2 (two-body corrections) and compared with FMO3 (three-body corrections).
Main Results:
- The fully analytic energy gradient significantly improved energy conservation in the NVE ensemble for liquid water.
- FMO-MD with the analytic gradient and FMO2 corrections showed better energy conservation than previous FMO-MD simulations using approximate gradients and FMO3 corrections.
- Inclusion of response terms in the analytic gradient was key to enhanced energy conservation.
Conclusions:
- A fully analytic energy gradient is essential for accurate FMO-MD simulations of liquid water.
- FMO-MD with analytic gradients offers superior energy conservation compared to simulations with approximate gradients.
- The FMO2 approach with an analytic gradient provides a more accurate and efficient simulation of liquid water.
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