Michele Invernizzi^1*, Michele Parrinello^2*

1 Department of Physics, ETH Zurich c/o USI Campus, 6900 Lugano, Switzerland

2 Department of Chemistry and Applied Biosciences, ETH Zurich c/o USI Campus, 6900 Lugano, Switzerland

* Corresponding authors emails: michele.invernizzi@phys.chem.ethz.ch, michele.parrinello@phys.chem.ethz.ch

DOI10.24435/materialscloud:2019.0063/v1 [version v1]

Publication date: Oct 22, 2019

How to cite this record

Michele Invernizzi, Michele Parrinello, Rethinking Metadynamics, Materials Cloud Archive 2019.0063/v1 (2019), doi: 10.24435/materialscloud:2019.0063/v1.

Description

Metadynamics is an enhanced sampling method of great popularity, based on the on-the-fly construction of a bias potential that is function of a selected number of collective variables. In order to improve its usability and convergence speed, we propose here a change in perspective that shifts the focus form the bias to the probability distribution reconstruction. The result is an enhanced sampling method that combine metadynamics and adaptive umbrella sampling approaches, taking the best from the two worlds. This new method has a straightforward reweighting scheme and allows for efficient importance sampling, avoiding uninteresting high free energy regions. Thanks to a compressed kernel density estimation it can handle a higher dimensional collective variable space, and does not require the prior knowledge of the boundaries of such space. The new method comes in two variants. The first aims at a quick convergence, avoiding oscillations and maximizing the quasi-static bias regime, while in the second the main focus is on a rapid exploration of the free energy landscape. We demonstrate the performance of the method in a number of representative examples.

Materials Cloud sections using this data

Files

File name	Size	Description
README.txt MD5md5:38305722d943191a44fa11245bb56863	299 Bytes	basic information
opes.zip MD5md5:2ebe995066a46c5b029826699b023ce8	490.6 KiB	all the input files and scripts to reproduce the results in the paper
figures.zip MD5md5:38d00539729a7fcc0e248657137def2e	41.8 MiB	all the data used to produce the figures in the paper

License

Files and data are licensed under the terms of the following license: Creative Commons Attribution 4.0 International.
Metadata, except for email addresses, are licensed under the Creative Commons Attribution Share-Alike 4.0 International license.

External references

Keywords

enhanced sampling free energy umbrella sampling MARVEL/DD1