Project deliverable Open Access

D4.4: Meso- and multi-scale modelling E-CAM modules III

Silvia Chiacchiera; Jony Castagna; Christian Krekeler

In this report for Deliverable 4.4 of E-CAM, nine software modules in meso– and multi–scale modelling are presented. Four of the modules have been implemented in DL_MESO_DPD:

• Ewald method for the GPU version of DL_MESO_DPD

• Smooth Particle Mesh Ewald (SPME) method for the GPU version of DL_MESO_DPD

• Analysis of local tetrahedral ordering for DL_MESO_DPD

• Consistency check of input files in DL_MESO_DPD

Five of the modules concern the Grand Canonical Adaptive Resolution Scheme (GC-AdResS) and have been developed, implemented and tested in/with GROMACS 5.1.0 and GROMACS 5.1.5. The patches provided are for GROMACS 5.1.5. The modules provide a recipe to simplify the implementation and to allow to look into a microcanonical (i.e., NVE-like) environment. They are based on the same principles as the Abrupt AdResS modules reported in a previous deliverable D4.3[1].

Furthermore, we provide all the tools necessary to run and check the AdResS simulations. The modules are:

• Local Thermostat Abrupt AdResS

• Thermodynamic Force Calculator for Abrupt AdResS

• Energy (AT)/Energy(interface) ratio: Necessary condition for AdResS simulations

• Velocity-Velocity autocorrelation function for AdResS

• AdResS-Radial Distribution Function (RDF).

A short description is written for each module, followed by a link to the respective Merge-Request on the GitLab service of E-CAM. These merge requests contain detailed information about the code development, testing and documentation of the modules.

[1] B. Duenweg, J. Castagna, S. Chiacchiera, H. Kobayashi, and C. Krekeler, “Meso– and multi–scale modelling E-CAM modules II,” Mar. 2018. [Online]. Available: https://doi.org/10.5281/zenodo.1210075

Files (1.2 MB)
Name Size
D4.4_31012019.pdf
md5:c28090bb7061f2677b9586906902ac86
1.2 MB Download
46
16
views
downloads
All versions This version
Views 4646
Downloads 1616
Data volume 18.5 MB18.5 MB
Unique views 1818
Unique downloads 1212

Share

Cite as