---
_id: '5022'
alternative_id:
- '5589'
article_number: '2182'
article_type: review
author:
- first_name: Emma
  full_name: Davies, Emma
  id: '242945'
  last_name: Davies
- first_name: Eva
  full_name: Schwenzfeier-Hellkamp, Eva
  id: '72528'
  last_name: Schwenzfeier-Hellkamp
  orcid: 0000-0002-3020-1343
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-3020-1343/work/169244834
- first_name: Andrea
  full_name: Ehrmann, Andrea
  id: '223776'
  last_name: Ehrmann
  orcid: 0000-0003-0695-3905
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0695-3905/work/169244832
citation:
  alphadin: '<span style="font-variant:small-caps;">Davies, Emma</span> ; <span style="font-variant:small-caps;">Schwenzfeier-Hellkamp,
    Eva</span> ; <span style="font-variant:small-caps;">Ehrmann, Andrea</span>: Safety
    of Hydrogen Storage Technologies. In: <i>Processes</i> Bd. 12, MDPI AG (2024),
    Nr. 10'
  ama: Davies E, Schwenzfeier-Hellkamp E, Ehrmann A. Safety of Hydrogen Storage Technologies.
    <i>Processes</i>. 2024;12(10). doi:<a href="https://doi.org/10.3390/pr12102182">10.3390/pr12102182</a>
  apa: Davies, E., Schwenzfeier-Hellkamp, E., &#38; Ehrmann, A. (2024). Safety of
    Hydrogen Storage Technologies. <i>Processes</i>, <i>12</i>(10). <a href="https://doi.org/10.3390/pr12102182">https://doi.org/10.3390/pr12102182</a>
  bibtex: '@article{Davies_Schwenzfeier-Hellkamp_Ehrmann_2024, title={Safety of Hydrogen
    Storage Technologies}, volume={12}, DOI={<a href="https://doi.org/10.3390/pr12102182">10.3390/pr12102182</a>},
    number={102182}, journal={Processes}, publisher={MDPI AG}, author={Davies, Emma
    and Schwenzfeier-Hellkamp, Eva and Ehrmann, Andrea}, year={2024} }'
  chicago: Davies, Emma, Eva Schwenzfeier-Hellkamp, and Andrea Ehrmann. “Safety of
    Hydrogen Storage Technologies.” <i>Processes</i> 12, no. 10 (2024). <a href="https://doi.org/10.3390/pr12102182">https://doi.org/10.3390/pr12102182</a>.
  ieee: E. Davies, E. Schwenzfeier-Hellkamp, and A. Ehrmann, “Safety of Hydrogen Storage
    Technologies,” <i>Processes</i>, vol. 12, no. 10, 2024.
  mla: Davies, Emma, et al. “Safety of Hydrogen Storage Technologies.” <i>Processes</i>,
    vol. 12, no. 10, 2182, MDPI AG, 2024, doi:<a href="https://doi.org/10.3390/pr12102182">10.3390/pr12102182</a>.
  short: E. Davies, E. Schwenzfeier-Hellkamp, A. Ehrmann, Processes 12 (2024).
date_created: 2024-10-09T21:08:39Z
date_updated: 2026-03-17T15:29:12Z
department:
- _id: '103'
doi: 10.3390/pr12102182
file:
- access_level: open_access
  content_type: application/pdf
  creator: aehrmann
  date_created: 2024-10-09T21:07:35Z
  date_updated: 2024-10-09T21:07:35Z
  file_id: '5023'
  file_name: _2024_Davies_Processes12_2182.pdf
  file_size: 13213834
  relation: main_file
  success: 1
file_date_updated: 2024-10-09T21:07:35Z
has_accepted_license: '1'
intvolume: '        12'
issue: '10'
keyword:
- hydrogen storage system
- hydrogen transport
- hydrogen use
- leakage
- explosion
- pressure
language:
- iso: eng
oa: '1'
project:
- _id: 0ec202b7-cd76-11ed-89f4-a9e1a6dbdaa7
  name: Institut für Technische Energie-Systeme
publication: Processes
publication_identifier:
  eissn:
  - 2227-9717
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Safety of Hydrogen Storage Technologies
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  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
urn: urn:nbn:de:hbz:bi10-50221
user_id: '220548'
volume: 12
year: '2024'
...
---
_id: '4563'
article_number: '927'
author:
- first_name: Tomasz
  full_name: Blachowicz, Tomasz
  last_name: Blachowicz
- first_name: Maciej
  full_name: Malczyk, Maciej
  last_name: Malczyk
- first_name: Ilda
  full_name: Kola, Ilda
  last_name: Kola
- first_name: Guido
  full_name: Ehrmann, Guido
  last_name: Ehrmann
- first_name: Eva
  full_name: Schwenzfeier-Hellkamp, Eva
  id: '72528'
  last_name: Schwenzfeier-Hellkamp
  orcid: 0000-0002-3020-1343
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-3020-1343/work/158940792
- first_name: Andrea
  full_name: Ehrmann, Andrea
  id: '223776'
  last_name: Ehrmann
  orcid: 0000-0003-0695-3905
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0695-3905/work/158940793
citation:
  alphadin: '<span style="font-variant:small-caps;">Blachowicz, Tomasz</span> ; <span
    style="font-variant:small-caps;">Malczyk, Maciej</span> ; <span style="font-variant:small-caps;">Kola,
    Ilda</span> ; <span style="font-variant:small-caps;">Ehrmann, Guido</span> ; <span
    style="font-variant:small-caps;">Schwenzfeier-Hellkamp, Eva</span> ; <span style="font-variant:small-caps;">Ehrmann,
    Andrea</span>: Textiles for Very Cold Environments. In: <i>Processes</i> Bd. 12,
    MDPI AG (2024), Nr. 5'
  ama: Blachowicz T, Malczyk M, Kola I, Ehrmann G, Schwenzfeier-Hellkamp E, Ehrmann
    A. Textiles for Very Cold Environments. <i>Processes</i>. 2024;12(5). doi:<a href="https://doi.org/10.3390/pr12050927">10.3390/pr12050927</a>
  apa: Blachowicz, T., Malczyk, M., Kola, I., Ehrmann, G., Schwenzfeier-Hellkamp,
    E., &#38; Ehrmann, A. (2024). Textiles for Very Cold Environments. <i>Processes</i>,
    <i>12</i>(5). <a href="https://doi.org/10.3390/pr12050927">https://doi.org/10.3390/pr12050927</a>
  bibtex: '@article{Blachowicz_Malczyk_Kola_Ehrmann_Schwenzfeier-Hellkamp_Ehrmann_2024,
    title={Textiles for Very Cold Environments}, volume={12}, DOI={<a href="https://doi.org/10.3390/pr12050927">10.3390/pr12050927</a>},
    number={5927}, journal={Processes}, publisher={MDPI AG}, author={Blachowicz, Tomasz
    and Malczyk, Maciej and Kola, Ilda and Ehrmann, Guido and Schwenzfeier-Hellkamp,
    Eva and Ehrmann, Andrea}, year={2024} }'
  chicago: Blachowicz, Tomasz, Maciej Malczyk, Ilda Kola, Guido Ehrmann, Eva Schwenzfeier-Hellkamp,
    and Andrea Ehrmann. “Textiles for Very Cold Environments.” <i>Processes</i> 12,
    no. 5 (2024). <a href="https://doi.org/10.3390/pr12050927">https://doi.org/10.3390/pr12050927</a>.
  ieee: T. Blachowicz, M. Malczyk, I. Kola, G. Ehrmann, E. Schwenzfeier-Hellkamp,
    and A. Ehrmann, “Textiles for Very Cold Environments,” <i>Processes</i>, vol.
    12, no. 5, 2024.
  mla: Blachowicz, Tomasz, et al. “Textiles for Very Cold Environments.” <i>Processes</i>,
    vol. 12, no. 5, 927, MDPI AG, 2024, doi:<a href="https://doi.org/10.3390/pr12050927">10.3390/pr12050927</a>.
  short: T. Blachowicz, M. Malczyk, I. Kola, G. Ehrmann, E. Schwenzfeier-Hellkamp,
    A. Ehrmann, Processes 12 (2024).
date_created: 2024-05-03T16:54:50Z
date_updated: 2026-03-17T15:29:02Z
department:
- _id: '103'
doi: 10.3390/pr12050927
intvolume: '        12'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
project:
- _id: 0ec202b7-cd76-11ed-89f4-a9e1a6dbdaa7
  name: Institut für Technische Energie-Systeme
publication: Processes
publication_identifier:
  eissn:
  - 2227-9717
publication_status: published
publisher: MDPI AG
status: public
title: Textiles for Very Cold Environments
tmp:
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  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: '220548'
volume: 12
year: '2024'
...
---
_id: '2848'
article_number: '1267'
article_type: original
author:
- first_name: Felix
  full_name: Grumbach, Felix
  id: '243801'
  last_name: Grumbach
  orcid: 0000-0001-6348-7897
- first_name: Anna
  full_name: Müller, Anna
  last_name: Müller
- first_name: Pascal
  full_name: Reusch, Pascal
  last_name: Reusch
- first_name: Sebastian
  full_name: Trojahn, Sebastian
  last_name: Trojahn
citation:
  alphadin: '<span style="font-variant:small-caps;">Grumbach, Felix</span> ; <span
    style="font-variant:small-caps;">Müller, Anna</span> ; <span style="font-variant:small-caps;">Reusch,
    Pascal</span> ; <span style="font-variant:small-caps;">Trojahn, Sebastian</span>:
    Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure
    Based on Regression Machine Learning. In: <i>Processes</i> Bd. 11, MDPI AG (2023),
    Nr. 4'
  ama: Grumbach F, Müller A, Reusch P, Trojahn S. Robustness Prediction in Dynamic
    Production Processes—A New Surrogate Measure Based on Regression Machine Learning.
    <i>Processes</i>. 2023;11(4). doi:<a href="https://doi.org/10.3390/pr11041267">10.3390/pr11041267</a>
  apa: Grumbach, F., Müller, A., Reusch, P., &#38; Trojahn, S. (2023). Robustness
    Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression
    Machine Learning. <i>Processes</i>, <i>11</i>(4). <a href="https://doi.org/10.3390/pr11041267">https://doi.org/10.3390/pr11041267</a>
  bibtex: '@article{Grumbach_Müller_Reusch_Trojahn_2023, title={Robustness Prediction
    in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine
    Learning}, volume={11}, DOI={<a href="https://doi.org/10.3390/pr11041267">10.3390/pr11041267</a>},
    number={41267}, journal={Processes}, publisher={MDPI AG}, author={Grumbach, Felix
    and Müller, Anna and Reusch, Pascal and Trojahn, Sebastian}, year={2023} }'
  chicago: Grumbach, Felix, Anna Müller, Pascal Reusch, and Sebastian Trojahn. “Robustness
    Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression
    Machine Learning.” <i>Processes</i> 11, no. 4 (2023). <a href="https://doi.org/10.3390/pr11041267">https://doi.org/10.3390/pr11041267</a>.
  ieee: F. Grumbach, A. Müller, P. Reusch, and S. Trojahn, “Robustness Prediction
    in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine
    Learning,” <i>Processes</i>, vol. 11, no. 4, 2023.
  mla: Grumbach, Felix, et al. “Robustness Prediction in Dynamic Production Processes—A
    New Surrogate Measure Based on Regression Machine Learning.” <i>Processes</i>,
    vol. 11, no. 4, 1267, MDPI AG, 2023, doi:<a href="https://doi.org/10.3390/pr11041267">10.3390/pr11041267</a>.
  short: F. Grumbach, A. Müller, P. Reusch, S. Trojahn, Processes 11 (2023).
date_created: 2023-05-08T12:12:49Z
date_updated: 2026-03-17T15:28:38Z
doi: 10.3390/pr11041267
intvolume: '        11'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.mdpi.com/2227-9717/11/4/1267
oa: '1'
publication: Processes
publication_identifier:
  eissn:
  - 2227-9717
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure
  Based on Regression Machine Learning
tmp:
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  short: CC BY (4.0)
type: journal_article
user_id: '249199'
volume: 11
year: '2023'
...