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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling

Authors: Das, Basita; Heymann, William; Wang, Yueming; Rau, Uwe; Kirchartz, Thomas; Buonassisi, Anthony;

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

Abstract

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.

Keywords

Bayesian Inference, Neural Network Surrogate Model, Solar cell Device Simulation

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average