AutoEmulate: A PyTorch tool for end-to-end emulation workflows

Python Jupyter Notebook Submitted 25 September 2025 • Published 26 August 2026
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Editor: @espottesmith (all papers)
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Authors

Radka Jersakova (0000-0001-6846-7158), Sam F. Greenbury (0000-0003-4452-2006), Ed Chalstrey (0000-0003-2560-1294), Edwin Brown (0009-0004-1124-469X), Marjan Famili (0009-0003-0426-3721), Chris Sprague (0000-0003-4943-2501), Paolo Conti (0000-0003-4062-2560), Camila Rangel Smith (0000-0002-0227-836X), Martin A. Stoffel (0000-0003-4030-3543), Bryan M. Li (0000-0003-3144-4838), Kalle Westerling (0000-0002-2014-332X), Sophie Arana (0000-0001-9708-7058), Max Balmus (0000-0002-6003-0178), Eric Daub (0000-0002-8499-0720), Steve Niederer (0000-0002-4612-6982), Andrew B. Duncan (0000-0001-5762-164X), Jason D. McEwen (0000-0002-5852-8890)

Citation

Jersakova et al., (2026). AutoEmulate: A PyTorch tool for end-to-end emulation workflows. Journal of Open Source Software, 11(124), 10087, https://doi.org/10.21105/joss.10087

@article{Jersakova2026, doi = {10.21105/joss.10087}, url = {https://doi.org/10.21105/joss.10087}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {124}, pages = {10087}, author = {Jersakova, Radka and Greenbury, Sam F. and Chalstrey, Ed and Brown, Edwin and Famili, Marjan and Sprague, Chris and Conti, Paolo and Smith, Camila Rangel and Stoffel, Martin A. and Li, Bryan M. and Westerling, Kalle and Arana, Sophie and Balmus, Max and Daub, Eric and Niederer, Steve and Duncan, Andrew B. and McEwen, Jason D.}, title = {AutoEmulate: A PyTorch tool for end-to-end emulation workflows}, journal = {Journal of Open Source Software} }
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Tags

Surrogate Modelling Emulation Simulation Machine Learning Pytorch Gaussian Processes Sensitivity analysis Model calibration Uncertainty quantification Active learning

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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