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