MCPC Characterization Round 3

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Description

Please cite as: Authors. Year. PNNL MCPC Characterization Round 3. [Data Set] PNNL DataHub. DOI

This data is published under a CC0 license. The authors encourage data reuse and request attribution by referencing the above citations for the data package. 

Principal Researcher: Dr. Erin Barker

Introduction

Characterization data for the MCPC Agile is collected in multiple rounds. Contained herein is data from Round 3 in which eleven distinct samples and one control sample are characterized by five modalities: EBSD, HARDNESS, OPTICAL, SEM, and ULTRASONIC. Data is organized in subdirectories for the five modalities and each one modality containing subdirectories for the datasets and other information.

To better understand this structure, please refer to following image which describes the relationships between the subdirectories. The structure for Round 1 hardness data is shown as an example. Other rounds and modalities are similarly structured.

mcpc data structure

You can navigate to the complete dataset for each of the modalities across rounds using the links below. 

 

Rounds

Characterization Round 1 - 5 modalities                  
Characterization Round 2 - 5 modalities
Characterization Round 3 - 5 modalities - THIS PAGE

 

Return to the Material Characterization, Prediction, and Control (MCPC) homepage

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Dr. Donald Todd is an expert in nuclear reactor design and in executing novel nuclear safety analysis for nuclear plants. He is a co-editor with Dr. Alan E. Waltar of the book Fast Spectrum Reactors (2012), the 2016 Japanese translation of Fast Spectrum Reactors , and is an author of the “Boiling...

Kathy joined PNNL in September 2022, bringing with her a wealth of experience in the fields of Chemical Engineering and material science within the renewable energy sector. Her exposure to the extensive data science field during her chemical engineering endeavors inspired her transition into the...