Effective simulations of interacting active droplets

Abstract Droplets form a cornerstone of the spatiotemporal organization of biomolecules in cells. These droplets are controlled using physical processes like chemical reactions and imposed gradients, which are costly to simulate using traditional approaches, like solving the Cahn–Hilliard equation....

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Main Authors: Ajinkya Kulkarni, Estefania Vidal-Henriquez, David Zwicker
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-27630-3
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author Ajinkya Kulkarni
Estefania Vidal-Henriquez
David Zwicker
author_facet Ajinkya Kulkarni
Estefania Vidal-Henriquez
David Zwicker
author_sort Ajinkya Kulkarni
collection DOAJ
description Abstract Droplets form a cornerstone of the spatiotemporal organization of biomolecules in cells. These droplets are controlled using physical processes like chemical reactions and imposed gradients, which are costly to simulate using traditional approaches, like solving the Cahn–Hilliard equation. To overcome this challenge, we here present an alternative, efficient method. The main idea is to focus on the relevant degrees of freedom, like droplet positions and sizes. We derive dynamical equations for these quantities using approximate analytical solutions obtained from a sharp interface limit and linearized equations in the bulk phases. We verify our method against fully-resolved simulations and show that it can describe interacting droplets under the influence of chemical reactions and external gradients using only a fraction of the computational costs of traditional methods. Our method can be extended to include other processes in the future and will thus serve as a relevant platform for understanding the dynamics of droplets in cells.
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spelling doaj.art-c9ec2f70fa274b35a343ace766db96502023-01-15T12:10:55ZengNature PortfolioScientific Reports2045-23222023-01-0113111010.1038/s41598-023-27630-3Effective simulations of interacting active dropletsAjinkya Kulkarni0Estefania Vidal-Henriquez1David Zwicker2Max Planck Institute for Dynamics and Self-OrganizationMax Planck Institute for Dynamics and Self-OrganizationMax Planck Institute for Dynamics and Self-OrganizationAbstract Droplets form a cornerstone of the spatiotemporal organization of biomolecules in cells. These droplets are controlled using physical processes like chemical reactions and imposed gradients, which are costly to simulate using traditional approaches, like solving the Cahn–Hilliard equation. To overcome this challenge, we here present an alternative, efficient method. The main idea is to focus on the relevant degrees of freedom, like droplet positions and sizes. We derive dynamical equations for these quantities using approximate analytical solutions obtained from a sharp interface limit and linearized equations in the bulk phases. We verify our method against fully-resolved simulations and show that it can describe interacting droplets under the influence of chemical reactions and external gradients using only a fraction of the computational costs of traditional methods. Our method can be extended to include other processes in the future and will thus serve as a relevant platform for understanding the dynamics of droplets in cells.https://doi.org/10.1038/s41598-023-27630-3
spellingShingle Ajinkya Kulkarni
Estefania Vidal-Henriquez
David Zwicker
Effective simulations of interacting active droplets
Scientific Reports
title Effective simulations of interacting active droplets
title_full Effective simulations of interacting active droplets
title_fullStr Effective simulations of interacting active droplets
title_full_unstemmed Effective simulations of interacting active droplets
title_short Effective simulations of interacting active droplets
title_sort effective simulations of interacting active droplets
url https://doi.org/10.1038/s41598-023-27630-3
work_keys_str_mv AT ajinkyakulkarni effectivesimulationsofinteractingactivedroplets
AT estefaniavidalhenriquez effectivesimulationsofinteractingactivedroplets
AT davidzwicker effectivesimulationsofinteractingactivedroplets