High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling

This dataset accompanies the codebase published here, and is part of the paper titled "High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling". The dataset contains the data used for Neural network surrogate model training, the trained model, the experimental data used in the paper, and an example set of results.