fromage
fromage provides a Python framework for analyzing photoexcitations and excited states in molecular aggregates.
Key Features:
- Geometry Manipulation: Transitions between periodic models and finite models to represent infinite systems or specific clusters for aggregate geometry analysis.
- Exciton Analysis: Tools to characterize excitons (quasiparticles) and analyze propagation of electronic excitations across multiple molecules.
- ONIOM Calculations: Implements ONIOM (Our own N-layered Integrated molecular Orbital and molecular Mechanics) hybrid quantum mechanics/molecular mechanics schemes for multiscale calculations on large aggregates.
Scientific Applications:
- Intermolecular Interactions: Analysis of how individual monomers interact within an aggregate to influence excited-state properties.
- Environmental Effects: Evaluation of the influence of surrounding environments on the excited states of molecular aggregates.
- 3D Arrangements and Crystal Packing: Investigation of how three-dimensional arrangements and crystal packing affect electronic excitations in molecular aggregates.
Methodology:
Computational methods explicitly include conversion between periodic and finite models, exciton characterization analyses, and ONIOM QM/MM schemes implemented within a Python framework.
Topics
Details
- License:
- MIT
- Tool Type:
- library
- Programming Languages:
- Python
- Added:
- 11/14/2019
- Last Updated:
- 12/29/2020
Operations
Publications
Rivera M, Dommett M, Sidat A, Rahim W, Crespo Otero R. Fromage: A Library for the Study of Molecular Crystal Excited States at the Aggregate Scale. Unknown Journal. 2019. doi:10.26434/chemrxiv.9786041.v1.
Links
Issue tracker
https://github.com/Crespo-Otero-group/fromage/issues