Workshop Data on Autonomous Methodologies for Accelerating X-ray Measurements

Description

The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and prioritize the goals, challenges, and opportunities for critical and emerging technology needs within industry, with an emphasis on leveraging artificial intelligence, data-driven methodologies, and high-throughput and automated workflows for accelerating x-ray-based structural analysis for materials development and manufacturing. Participants, predominantly from industry, gathered in-person at ICDD headquarters in Newtown Square, Pennsylvania. The data collected during this workshop is published in this data publication. This data is interpreted in the workshop report, which cites this dataset.Certain equipment, instruments, software, or materials, commercial or non-commercial, are identified in this dataset. Such identification does not imply recommendation or endorsement of any product or service by NIST, nor does it imply that the materials or equipment identified are necessarily the best available for the purpose.

Resources

Name Format Description Link
22 g2-b3-challenges-analysis.JPG https://data.nist.gov/od/ds/mds2-3498/g2-b3-challenges-analysis.JPG
22 g2-b4-solutions-analysis.JPG https://data.nist.gov/od/ds/mds2-3498/g2-b4-solutions-analysis.JPG
22 g2-b2-goals-xrd.JPG https://data.nist.gov/od/ds/mds2-3498/g2-b2-goals-xrd.JPG
22 g1-b4-solutions-analysis.JPG https://data.nist.gov/od/ds/mds2-3498/g1-b4-solutions-analysis.JPG
22 g1-b1-goals-lab.JPG https://data.nist.gov/od/ds/mds2-3498/g1-b1-goals-lab.JPG
22 g1-b8-solutions-hardware.JPG https://data.nist.gov/od/ds/mds2-3498/g1-b8-solutions-hardware.JPG
22 g2-b6-solutions-AI-lab.JPG https://data.nist.gov/od/ds/mds2-3498/g2-b6-solutions-AI-lab.JPG
22 g2-b8-solutions-hardware.JPG https://data.nist.gov/od/ds/mds2-3498/g2-b8-solutions-hardware.JPG
22 g1-b3-challenges-analysis.JPG https://data.nist.gov/od/ds/mds2-3498/g1-b3-challenges-analysis.JPG
47 README.txt https://data.nist.gov/od/ds/mds2-3498/README.txt
22 g1-b6-solutions-AI-lab.JPG https://data.nist.gov/od/ds/mds2-3498/g1-b6-solutions-AI-lab.JPG
22 g2-b5-challenges-AI-lab.JPG https://data.nist.gov/od/ds/mds2-3498/g2-b5-challenges-AI-lab.JPG
22 g1-b5-challenges-AI-lab.JPG https://data.nist.gov/od/ds/mds2-3498/g1-b5-challenges-AI-lab.JPG
22 g2-b1-goals-lab.JPG https://data.nist.gov/od/ds/mds2-3498/g2-b1-goals-lab.JPG
22 g2-b7-challenges-hardware.JPG https://data.nist.gov/od/ds/mds2-3498/g2-b7-challenges-hardware.JPG
22 g1-b2-goals-xrd.JPG https://data.nist.gov/od/ds/mds2-3498/g1-b2-goals-xrd.JPG
8 cards.csv https://data.nist.gov/od/ds/mds2-3498/cards.csv
22 g1-b7-challenges-hardware.JPG https://data.nist.gov/od/ds/mds2-3498/g1-b7-challenges-hardware.JPG

Tags

  • diffraction
  • artificial-intelligence
  • robotics
  • autonomous-laboratories
  • materials-synthesis-and-characterization
  • machine-learning

Topics

Categories