Development of an automated reliable method to compute transport properties from DPD equilibrium simulations: Application to simple fluids
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F23%3A00573777" target="_blank" >RIV/67985858:_____/23:00573777 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/44555601:13440/23:43897706
Výsledek na webu
<a href="https://hdl.handle.net/11104/0344137" target="_blank" >https://hdl.handle.net/11104/0344137</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cpc.2023.108843" target="_blank" >10.1016/j.cpc.2023.108843</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Development of an automated reliable method to compute transport properties from DPD equilibrium simulations: Application to simple fluids
Popis výsledku v původním jazyce
Dissipative particle dynamics (DPD) is a promising candidate technique for modeling rheological properties of soft matter systems. However, several methodological issues inhibit its exploitation as a computational rheology tool. In this work, we focus on the development of an automated method toncompute transport properties from equilibrium simulation with particular attention to the assessment of the Green-Kubo approach reliability and computational feasibility for a large set of simple DPD systems with increasing Schmidt number. Furthermore, we investigate the time step size dependency of dynamic properties and the role of different time integration schemes. In particular, we assess the performance of the Shardlow-splitting algorithm against the most popular modified velocity-Verlet algorithm. We consider, for the first time, application of the Shardlow-splitting algorithm to the transverse DPD thermostat in different friction regimes relying on systematic numerical experiments. In addition, we make use of these findings to perform a multi-parametric study aiming to investigate the Schmidt number relationship with the effective friction coefficient.
Název v anglickém jazyce
Development of an automated reliable method to compute transport properties from DPD equilibrium simulations: Application to simple fluids
Popis výsledku anglicky
Dissipative particle dynamics (DPD) is a promising candidate technique for modeling rheological properties of soft matter systems. However, several methodological issues inhibit its exploitation as a computational rheology tool. In this work, we focus on the development of an automated method toncompute transport properties from equilibrium simulation with particular attention to the assessment of the Green-Kubo approach reliability and computational feasibility for a large set of simple DPD systems with increasing Schmidt number. Furthermore, we investigate the time step size dependency of dynamic properties and the role of different time integration schemes. In particular, we assess the performance of the Shardlow-splitting algorithm against the most popular modified velocity-Verlet algorithm. We consider, for the first time, application of the Shardlow-splitting algorithm to the transverse DPD thermostat in different friction regimes relying on systematic numerical experiments. In addition, we make use of these findings to perform a multi-parametric study aiming to investigate the Schmidt number relationship with the effective friction coefficient.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10403 - Physical chemistry
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Computer Physics Communications
ISSN
0010-4655
e-ISSN
1879-2944
Svazek periodika
291
Číslo periodika v rámci svazku
OCT 23
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
14
Strana od-do
108843
Kód UT WoS článku
001125931400001
EID výsledku v databázi Scopus
2-s2.0-85165117414