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@EAH-Materials

EAH-Materials

Materials engineering department of the Ernst-Abbe-University of Applied Science Jena

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  1. MartensiteStart_DeepLearning MartensiteStart_DeepLearning Public

    Martensite Start temperature prediction tools

    Python 7

  2. sMartensite sMartensite Public

    sMartensite is a Deep-Learning Project to classify FSD-SEM images into the phases: Austenite, thermal Martensite, machanically induced Martensite and surface martensite.

    MATLAB 1

  3. MartensiteStart MartensiteStart Public

    Prediction of the Martensite Start Temperature in High-Carbon Steels.

    Jupyter Notebook

  4. SamplePrep_LaTeX_Template SamplePrep_LaTeX_Template Public

    LaTeX Template to generate Sample preparation tables

    TeX

  5. XRR_FFT XRR_FFT Public

    Forked from ThFriedrich/XRR_FFT

    Simple thickness determination of thin films from XRR (X-ray reflectometry) data based on Fourier Transform.

    Python

  6. RealOrFakeSteelMicrostructure RealOrFakeSteelMicrostructure Public

    This repository provides the PyTorch code used in our expert study to compare the perceived realism of synthetic steel microstructures of two deep generative models.

    Python

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