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  A general framework for quantifying uncertainty at scale

Farcas, I.-G., Merlo, G., & Jenko, F. (2022). A general framework for quantifying uncertainty at scale. Communications Engineering, 1: 43. doi:10.1038/s44172-022-00045-0.

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 Creators:
Farcas, I.-G.1, Author
Merlo, G.1, Author
Jenko, F.1, 2, Author                 
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1External Organizations, ou_persistent22              
2Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: 11 p.
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s44172-022-00045-0
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Title: Communications Engineering
Source Genre: Journal
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Publ. Info: London, UK : Nature Publishing Group UK
Pages: - Volume / Issue: 1 Sequence Number: 43 Start / End Page: - Identifier: ISSN: 2731-3395
CoNE: https://pure.mpg.de/cone/journals/resource/2731-3395