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  Synchrotron small angle X-ray scattering – perspectives of machine learning

Fratzl, P. (2024). Synchrotron small angle X-ray scattering – perspectives of machine learning. Roadmap on Data-Centric Materials Science, 4.6. doi:10.26434/chemrxiv-2024-m9sk0.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-70E6-0 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-721F-0
Genre: Paper

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 Creators:
Fratzl, Peter1, Author                 
Affiliations:
1Peter Fratzl, Biomaterialien, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_1863294              

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Free keywords: Big data; data-centric science; artificial intelligence
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Language(s): eng - English
 Dates: 2024-02-142024
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
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 Identifiers: DOI: 10.26434/chemrxiv-2024-m9sk0
PMID: 0652
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Title: Roadmap on Data-Centric Materials Science
  Other : ChemRxiv
Source Genre: Collected Edition
 Creator(s):
Scheffler, Matthias, Author
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: 4.6 Start / End Page: - Identifier: -

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Title: ChemRxiv : the Preprint Server for Chemistry
  Other : ChemRxiv
Source Genre: Journal
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Publ. Info: Washington, DC; Frankfurt am Main; Cambridge, London : ACS, GDCh, Royal Society of Chemistry
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ZDB: 2949894-7