Projects per year
Abstract
We present a fully self-consistent polarizable embedding (PE) model that does not suffer from unphysical boundary polarization. This is achieved through the use of the minimum-image convention (MIC) in the induced electrostatics. It is a simple yet effective approach that includes a more physically accurate description of the polarization throughout the molecular system. Using PE with MIC (PE-MIC), we shed new light on the limitations of commonly employed cutoff models, such as the droplet model, when used in PE calculations. Specifically, we investigate the effects of the unphysical polarization at the outer boundary by comparing induced dipoles and the associated electrostatic potentials, as well as some optical properties of solute-solvent and biomolecular systems. We show that the magnitude of the inaccuracies caused by the unphysical polarization depends on multiple parameters: the nature of the quantum subsystem and of the environment, the cutoff model and distance, and the calculated property.
Original language | English |
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Journal | Journal of Chemical Theory and Computation |
Volume | 19 |
Pages (from-to) | 5122-5141 |
ISSN | 1549-9618 |
DOIs | |
Publication status | Published - 2023 |
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Computational Spectroscopy of Biomolecular Systems
Olsen, J. M. H. (PI)
01/07/2020 → 30/06/2025
Project: Research
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Development of Multiscale Methods for Computational Spectroscopy of Biomolecular Systems
Kvedaraviciute, S. (PhD Student), Møller, K. B. (Supervisor), Olsen, J. M. H. (Main Supervisor), Cisneros, G. A. (Examiner) & Kongsted, J. (Examiner)
15/04/2021 → 14/07/2024
Project: PhD
Datasets
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Dataset for the article "Polarizable Embedding without Artificial Boundary Polarization"
Kvedaraviciute, S. (Creator), Carrasco-Busturia, D. (Contributor), Møller, K. B. (Supervisor) & Olsen, J. M. H. (Supervisor), Zenodo, 9 Jun 2023
DOI: 10.5281/zenodo.8020540, https://zenodo.org/record/8020540
Dataset