CARE (Catalysis Automated Reaction Evaluator) is a tool for generating and manipulating chemical reaction networks (CRNs) for catalysis on transition metal surfaces. CARE is powered with GAME-Net-UQ, a graph neural network with uncertainty quantification (UQ) targeting the DFT energy of relaxed species and transition states.
We recommend creating an environment with Conda to install the package.
- Clone the repo:
git clone git@github.com:LopezGroup-ICIQ/care.git
- Create a conda environment with Python 3.11 and activate it:
conda create -n care_env python=3.11
conda activate care_env
- Enter the repo and install the package with pip:
cd care
python3 -m pip install .
- Install Julia to run microkinetic simulations with it. This step is required if you want to perform microkinetic simulations with Julia. As alternative, simulations can run with the implemented Scipy solver.
curl -fsSL https://install.julialang.org | sh
- Install the required Julia dependencies creating the Julia environment provided by
Project.toml
TODO
The current way to generate chemical reaction networks in CARE requires setting up a .toml configuration file and running the code:
care_run -i input.toml -o output_name
This will generate a directory output_name
containing a crn.pkl
with the generated reaction network.
Examples of input .toml files can be found in src/care/scripts/example_c1o2.toml
and src/care/scripts/example_c2o4.toml
.
Further details will be uploaded soon.
from pickle import load
with open('./C1O4/Pd111/crn.pkl', 'rb') as pickle_file:
crn = load(pickle_file)
crn
is a care.ReactionNetwork
object which provides rapid access to the intermediates (care.Intermediate
), elementary reactions (care.ElementaryReaction
), and its properties as activation barrier care.ElementaryReaction.e_act
and reaction energy care.ElementaryReaction.e_rxn
.
To visualize a specific elementary step:
crn.visualize_reaction(0)
The DFT database in ASE format used to retrieve available CRN intermediates will be uploaded soon in Zenodo.
The code is released under the MIT license.
- A Foundational Model for Reaction Networks on Metal Surfaces
Authors: S. Morandi, O. Loveday, T. Renningholtz, S. Pablo-García, R. A. Vargas Hernáńdez, R. R. Seemakurthi, P. Sanz Berman, R. García-Muelas, A. Aspuru-Guzik, and N. López
DOI: 10.26434/chemrxiv-2024-bfv3d