CarbonDriver

An api and a collection physics-based uncertainty-aware models to drive automated CO2RR laboratories

See our paper: A physics-based data-driven model for CO2 gas diffusion electrodes to drive automated laboratories

Install

pip install git+https://github.com/ftherrien/CarbonDriver.git

Example

from carbondriver import GDEOptimizer
from carbondriver.loaders import load_gas_data

# Data to start with (could be any df)
df, current_density = load_gas_data(data_path)

config = {"current_density": current_density}
             
gde = GDEOptimizer("Ph", config=config, output_dir="./tmp_test_out")

ei, next_pick = gde.step(df)

print(f"Your next experiment should be:", next_pick)