
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.
Bayesian Inference, Neural Network Surrogate Model, Solar cell Device Simulation
Bayesian Inference, Neural Network Surrogate Model, Solar cell Device Simulation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
