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  Computational Design and Optimization of Electro-physiological Sensors

Nittala, A. S., Karrenbauer, A., Khan, A., Kraus, T., & Steimle, J. (2021). Computational Design and Optimization of Electro-physiological Sensors. Nature Communications, 12(1): 6351. doi:10.1038/s41467-021-26442-1.

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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 Creators:
Nittala, Aditya Shekhar1, Author
Karrenbauer, Andreas2, Author                 
Khan, Arshad1, Author
Kraus, Tobias1, Author
Steimle, Jürgen1, Author           
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1External Organizations, ou_persistent22              
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Language(s): eng - English
 Dates: 20212021
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s41467-021-26442-1
BibTex Citekey: Nittala2021
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Project name : InteractiveSkin
Grant ID : 714797
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: 14 p. Volume / Issue: 12 (1) Sequence Number: 6351 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: https://pure.mpg.de/cone/journals/resource/2041-1723