AI Article Synopsis
- - This text describes a new and efficient method that extends metadynamics to explore complex free energy landscapes (FELs) using a two-step simulation process.
- - The first step involves using broad and tall Gaussians to rapidly identify a free energy pathway connecting two states, which is then split into smaller, independent subphase spaces for detailed analysis.
- - Finally, after calculating the free energy landscapes for each subphase, the results are combined to construct the full FEL, demonstrating improved modeling capabilities for complex chemical reactions, particularly at interfaces.
Article Abstract
We present an efficient method based on an extension of metadynamics for exploring complex free energy landscapes (FELs). The method employs two-step metadynamics simulations. In the first step, rapid metadynamics simulations using broad and tall Gaussians are performed to identify a free energy pathway (FEP) connecting the two states of interest. The FEP is then divided into a series of independent subphase spaces that comprise selected discrete images of the system. Using appropriate collective variables (CVs) chosen according to the FEP, the accurate FEL of each subphase space is separately calculated in subsequent divide-and-conquer metadynamics simulations with narrow and low Gaussians. Finally, all FELs calculated in each subphase space are merged to obtain the full FEL. We show that the method greatly improves the performance of the metadynamics approach. In particular, we are able to efficiently model chemical systems with complex FELs, such as chemical reactions at the air/water interface. We demonstrate the performance of this method on two model reactions: the hydrolysis of formaldehyde in the gas phase and at the air/water interface.
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| http://dx.doi.org/10.1063/5.0098269 | DOI Listing |
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