Automated generation of LAMMPS data and input files for polymer molecular dynamics simulations
Project description
Neural Network Molecular Dynamics Kit
NNMDKit generates polymer topology from SMILES strings and automatically builds LAMMPS data and input files for molecular dynamics simulations
Example
Below is an example python script where we use NNMDKit to generate LAMMPS data and input files for Tg measurement with a list of SMILES strings.
import nnmdkit
smiles = ['*CC*', '*CC(*)C', '*CC(*)CC', '*CC(*)CCC', '*CC(*)CCCC','*CC(*)c1ccccc1']
for s in smiles:
sys = nnmdkit.System(smiles=s, mw=10000, ntotal=3000, density=0.5, builtby='emc')
data = sys.write_data(output_dir=s)
lmp = nnmdkit.Lammps(data, NN_POTENTIAL='~/p-rramprasad3-0/NNLMP/potential_saved')
lmp.add_procedure('minimization', min_style='cg')
lmp.add_procedure('equilibration', Tfinal=600, Pfinal=1, Tmax=800, Pmax=49346.163)
lmp.add_procedure('Tg_measurement', Tinit=600, Tfinal=100, Tinterval=25, step=1000000)
lmp.write_input(output_dir=s)
job = nnmdkit.Job(jobname=s, project='GT-rramprasad3-CODA20', nodes=2, ppn=24,
walltime='48:00:00', LAMMPS_EXEC='~/p-rramprasad3-0/NNLMP/lmp')
job.write_pbs(output_dir=s)
A tutorial on using NNMDKit to create simulations of hydrocarbon polymers can be found here.
Installation
pip install .
Requirements
Note that, both EMC/PSP and RDKit are required to be installed manually. NNMDKit requires EMC or PSP to create polymer structures. To configure the integration with EMC, two environment variables are required to be addded to locate your EMC executable (emc_linux64
for Linux, emc_macos
for MacOS, or emc_win32
for Windows) and setup tool (emc_setup.pl
). Add the paths of the EMC executable and setup tool as environment variables "EMC_EXEC" and "EMC_SETUP", respectively.
For Ramprasad Group users on Tyrion2, simply type in the command line:
echo "export EMC_EXEC=/data/kevin/EMC/bin/emc_linux64" >> ~/.bashrc
echo "export EMC_SETUP=/data/kevin/EMC/scripts/emc_setup.pl" >> ~/.bashrc
Copyright
Ramprasad Group, Georgia Tech, USA
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file NNMDKit-0.1.0.tar.gz
.
File metadata
- Download URL: NNMDKit-0.1.0.tar.gz
- Upload date:
- Size: 9.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.5.0 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2c9cc42e869b8e61a4dc3593ad6ef9bf48345dc4ab9177f58e7bc6e2ea7a521a |
|
MD5 | 4348d2bbde2efc4a5c3f088517ae8bea |
|
BLAKE2b-256 | 7f176752bca1839a0e49386e6a9dede35d324f0e36ab6f988da6e6dcf8e2011b |
File details
Details for the file NNMDKit-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: NNMDKit-0.1.0-py3-none-any.whl
- Upload date:
- Size: 12.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.5.0 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c44fb325c85a887bc05a6e4e1639869c25cf831e7522900631e316790913cf02 |
|
MD5 | e245656ff2dd7ab0982290392b895d32 |
|
BLAKE2b-256 | 0fb815ec388f95f675a66801f716875598954c5f0ad9aa85aeeab607b99e1c2e |