A toolkit for working with coarse-grain systems
-
Updated
Oct 7, 2024 - Python
A toolkit for working with coarse-grain systems
Microstate Sparse Reconstruction (MSR): a backmapping method that recovers all-atom structures from reduced/coarse-grained variables
Utilizing TensorFlow and Python, we employ a CNN-based AI model to convert atomistic DOPC lipids into a coarse-grained representation, enhancing molecular dynamics simulations and structural analysis.
Python code to produce Parker's like solar wind modeling (isopoly) including expansion factor effects, and streamline tracing.
Add a description, image, and links to the backmapping topic page so that developers can more easily learn about it.
To associate your repository with the backmapping topic, visit your repo's landing page and select "manage topics."