dgm_workshop
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (5.8%) to scientific vocabulary
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
Metadata Files
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
- Repositories: 1
- Profile: https://github.com/pyiron-workshop
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.