Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
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  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
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  • Scientific vocabulary similarity
    Low similarity (5.8%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: pyiron-workshop
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 106 MB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created almost 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Citation

README.md

DGM workshop 2023

Presented as part of DGM-Nachwuchsforum 2023 on 25.04.2023

A paradigm shift in the field of materials science towards data-driven approaches and digitalisation goes hand in hand with the generation of vast amounts of experimental and simulation data. The analysis and effective use of this data is critical to enhancing our understanding of materials and accelerating materials research. Python has emerged as a programming language of choice for this task in materials science due to its flexibility and ease of use. The tutorial will start with an introduction to python through jupyter notebooks. Furthermore, the participant will gain insight into performing typical simulations in materials science, followed by tools and methods for efficient post-processing and analysis of data. We employ pyiron, an integrated development environment for computational materials science, as a representative software in the tutorial. Overall, it will provide early career researchers tools to streamline their scientific workflows and manage data efficiently.

Owner

  • Name: pyiron-workshop
  • Login: pyiron-workshop
  • Kind: organization

Citation (CITATION.cff)

cff-version: 1.2.0
title: DGM-Nachwuchsforum 2023 Workshop 'Data analysis and workflows in Materials science'
message: >-
  Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 
  under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524
authors:
- given-names: Sarath
  family-names: Menon
  affiliation: Max-Planck-Institut für Eisenforschung GmbH
  orcid: 'https://orcid.org/0000-0002-6776-1213'
url: 'https://dgm.de/de/netzwerk/nachwuchs/veranstaltungen/dgm-nachwuchsforum-2023'
license: "MIT"
repository-code: https://github.com/pyiron-workshop/DGM_workshop
type: software
abstract: >-
  A paradigm shift in the field of materials science towards data-driven approaches and digitalisation goes hand in hand with the generation of vast amounts of experimental and simulation data. The analysis and effective use of this data is critical to enhancing our understanding of materials and accelerating materials research. Python has emerged as a programming language of choice for this task in materials science due to its flexibility and ease of use. The tutorial will start with an introduction to python through jupyter notebooks. Furthermore, the participant will gain insight into performing typical simulations in materials science, followed by tools and methods for efficient post-processing and analysis of data. We employ pyiron, an integrated development environment for computational materials science, as a representative software in the tutorial. Overall, it will provide early career researchers tools to streamline their scientific workflows and manage data efficiently.

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