DOI > 10.5291/ILL-DATA.9-11-1943

This proposal is publicly available since 10/15/2024

Title

Combining SANS and machine learning to predict and design nanoscale spinodal polymer materials

Abstract

Abstract is not yet public

Experimental Report

The experimental report is not available to download

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Data Citation

The recommended format for citing this dataset in a research publication is in the following format:

CABRAL Joao T.; AOKI; CLARKE Nigel; DEWHURST Charles; DEWHURST Charles; Sebastian Pont; PORCAR Lionel; PORCAR Lionel and SEDDON Dale. (2019). Combining SANS and machine learning to predict and design nanoscale spinodal polymer materials. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.9-11-1943

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Metadata

Experiment Parameters

  • Environment temperature

    100-200 C

  • Experiment energy

    2-18

  • Experiment moment

    0.0005-0.5

  • Experiment res moment

    20% possibly lower

Sample Parameters

  • Formula

    • C5O2D8
    • C2H3Cl

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