F. Strieth-Kalthoff, H. Hao, et al.
Preprint available at: ChemRxiv 2023, DOI: 10.26434/chemrxiv.00000000.v1
Workflows/
: Higher-level workflow scripts used for running the optimization campaign (Data Processing, Analysis, Bayesian Optimization)HighThroughputDFT/
: Scripts and workflows for computational screening of excited-state propertiesSupervisedLearning/
: Workflows for training and evaluating supervised learning models for molecular propertiey predictionGraphNeuralNetwork/
: Graph neural network used for representation learningBayesianOptimization/
: Library for discrete, batch-wise, asynchronous Bayesian optimizationData/
: Training data required for reproducing the models shown in the paper. All data generated within this study is available on Zenodo (see below)
All data generated within this study has been deposited on Zenodo.