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Published on: May 27, 2020
Lagrangian formulation with dissipation of Born-Oppenheimer molecular dynamics using the density-functional
Guishan Zheng1, Anders M N Niklasson, Martin Karplus
1Department of Chemistry & Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Dissipative Born-Oppenheimer molecular dynamics (DXL-BOMD) enhances self-consistent field (SCF) convergence and simulation stability. This method enables longer, more accurate molecular dynamics simulations compared to standard approaches.
Area of Science:
- Computational Chemistry
- Materials Science
- Quantum Mechanics
Background:
- Born-Oppenheimer molecular dynamics (BOMD) simulations are crucial for understanding molecular behavior.
- The computational cost of BOMD is often limited by the convergence rate of the self-consistent field (SCF) solution.
- Existing DFT-based BOMD methods are typically restricted to short simulation times (tens of picoseconds).
Purpose of the Study:
- To introduce and evaluate a novel dissipative Lagrangian formalism for Born-Oppenheimer molecular dynamics (DXL-BOMD).
- To demonstrate the ability of DXL-BOMD to improve SCF convergence and enhance simulation stability.
- To enable significantly longer molecular dynamics simulations for more meaningful analyses.
Main Methods:
- Developed and implemented the DXL-BOMD algorithm, incorporating an auxiliary electronic variable propagation with a dissipative force.
- Applied DXL-BOMD within the self-consistent charge density functional tight-binding (SCC-DFTB) method.
- Performed NVE simulations of C(2)F(4), amino acids, and water molecules, comparing DXL-BOMD with a standard SCF method.
Main Results:
- DXL-BOMD significantly improves SCF convergence, achieving up to a twofold increase compared to standard methods.
- The DXL-BOMD approach enables simulations of several hundred picoseconds, a substantial increase from previous DFT-based BOMD limitations.
- Analysis using linear response theory clarifies the relationship between energy drift and geometry propagation errors.
Conclusions:
- DXL-BOMD offers a robust and efficient method for accelerating SCF convergence in molecular dynamics.
- The enhanced stability and extended simulation times provided by DXL-BOMD allow for more comprehensive and accurate computational studies.
- This advancement opens possibilities for more in-depth investigations of complex molecular systems and processes.
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