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  5. Data from: Extension and neural operator approximation of the electrical impedance tomography inverse map

Data from: Extension and neural operator approximation of the electrical impedance tomography inverse map

File(s)
lognormal.zip (3.47 GB)
shape.zip (2.26 GB)
Nelsen_LearningEITData_README.md (6.49 KB)
three_phase.zip (2.25 GB)
Permanent Link(s)
https://doi.org/10.7298/fn0q-v573
https://hdl.handle.net/1813/118186
Collections
Mathematics Research
Author
Nelsen, Nicholas H.
Abstract

These files contain data supporting all results reported in de Hoop et al., Extension and neural operator approximation of the electrical impedance tomography inverse map.

Description
Please cite as: Nicholas H. Nelsen (2025). Data from: Extension and neural operator approximation of the electrical impedance tomography inverse map [dataset]. Cornell University Library eCommons Repository. https://doi.org/10.7298/fn0q-v573
Sponsorship
This research data is supported by a Klarman Fellowship through Cornell University’s College of Arts & Sciences, the U.S. National Science Foundation (NSF) under award DMS-2402036, and the NSF Graduate Research Fellowship Program under award DGE-1745301
Date Issued
2025
Keywords
Calderón problem
•
neural operator
•
inverse map
Related To
Maarten V. de Hoop and Nikola B. Kovachki and Matti Lassas and Nicholas H. Nelsen (2025). Extension and neural operator approximation of the electrical impedance tomography inverse map. arXiv. https://arxiv.org/abs/2511.20361
Rights
CC0 1.0 Universal
Rights URI
http://creativecommons.org/publicdomain/zero/1.0/
Type
dataset

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