Skip to main navigation Skip to search Skip to main content

MDDC Multi-Length Scale Data Architecture Contribution Report--PNNL, INL, ANL, LANL and ORNL

  • Mohammad Fuad Nur Taufique
  • , Isabella Johanna van Rooyen
  • , Sudipta Biswas
  • , Michael Mcmurtrey
  • , Mathew Swisher
  • , Mark Messner
  • , Srinivas Aditya Mantri
  • , Michael Brandt
  • , Bryant Kanies
  • , Ayoub Soulami
  • , Andrea Jokisaari
  • , William Chuirazzi
  • , Stephanie Pitts
  • , W. Tanner Yorgason
  • , Tianchen Hu
  • , Xuan Zhang
  • , L. Capolungo
  • , Vincent Paquit

Research output: Book/ReportTechnical Report

Abstract

This report offers a comprehensive view of data streams currently generated at Pacific Northwest National Laboratory, Idaho National Laboratory, Argonne National Laboratory, Los Alamos National Laboratory, and Oak Ridge National Laboratory set to integrate into the evolving Multi-Dimensional Data Correlation framework at Oak Ridge National Laboratory. Developed by the Advanced Materials and Manufacturing Technologies program, the Multi-Dimensional Data Correlation framework serves as a cutting-edge software to manage data relevant to advanced manufacturing and material behavior in advanced reactors. The report defines data streams, highlights their generation methods and visualization methods both for experimental and computational aspects relevant to the Advanced Materials and Manufacturing Technologies project. A logical next step for this work is to integrate the MDDC framework into PNNL’s, INL’s, ANL’s, LANL’s and ORNL’s fabrication, experimentation, and modelling workflows. This would require setting up the MDDC framework at PNNL, INL, ANL, and LANL and integrating it into the data collection and storage for these different activities.
Original languageEnglish
DOIs
StatePublished - Sep 29 2023

INL Publication Number

  • INL/RPT-23-73621
  • 158943

Fingerprint

Dive into the research topics of 'MDDC Multi-Length Scale Data Architecture Contribution Report--PNNL, INL, ANL, LANL and ORNL'. Together they form a unique fingerprint.

Cite this