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Additive Manufacturing Benchmark Code Repository

About

This repository is setup for code sharing in support of the NIST AMBench 2022 project. Code and scripts shared in this repository are categorized into three groups, each of which is located in its own folder in this repository.

ContributedCodeANDScripts

Analysis code and scripts which make use of the AM Bench 2022 data but are not developed as part of the AM Bench project.

MetadataModel

An XML Schema of a data model which describes the AM Bench 2022 data and Python scripts which translate the AM Bench metadata entered in tabular format to XML documents conforming to this XML schema, and uploading the XML schema and XML documents into AM Bench 2022 CDCS database. For more information about MetadataModel, please see AMBench2022/MetadataModel/README.md.

ReferenceCodeANDScripts

Analysis code and scripts developed as part of the AM Bench 2022 project.

How to Use this Repository

How to run code and scripts

SciServer

Some of the AM Bench data sets are large (> 1 TB) and may require processing to extract desired quantities. Since it is impractical to require all AM Bench users to download such large datasets and to develop all their own code for extracting meaningful results, the AM Bench project is providing with SciServer to provide server-side processing through SciServer Compute.

AM Bench users can register to SciServer to use virtual machines that include Jupyter notebooks and pre-installed software packages for AM Bench data analysis. A mirror of the AM Bench public measurement data on the NIST Public Data Repository(PDR) is maintained on the SciServer platform and search features are available. In addition, all the code and scripts in this repository are also available in SciServer. For detailed instructions on how to use AM Bench data with SciServer, see our Getting started with AM Bench page.

Running code and scripts in local environment

  • Since software requirements including their installation depend individual software please follow the instructions provided by code owners.

How to contribute codes

  • TBD

Contact information

  • Lyle E. Levine NIST Material Measurement Laboratory/Materials Science and Engineering Division lyle.levine@nist.gov (301) 975-6032

  • Brandon Lane brandon.lane@nist.gov Engineering Laboratory (301) 975-5471

  • For the AM Bench project organization details please see here.

Related Material

  • URL for associated project on <nist.gov> or other Department of Commerce site, if available
  • References to user guides if stored outside of GitHub

Citation

Directions on appropriate citation with example text

References

References to any included non-public domain software modules

Terms of Use

See the License.md file in this repository

CODEOWNERS

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