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.本数据集与此处发布的代码库配套发布，隶属于题为《使用带加速采样的贝叶斯推断（Bayesian Inference）从实验数据中开展高通量参数估计》的学术论文。本数据集包含用于神经网络代理模型（Neural network surrogate model）训练的数据、已训练完成的模型、论文中使用的实验数据，以及一组示例结果。