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1 - 7 of 7 search results for `download the materials` |u:www.phase-trans.msm.cam.ac.uk
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  2. Neural Networks

    www.phase-trans.msm.cam.ac.uk/abstracts/neural.review.html
    14 Feb 2020: Proceedings of the 5th International Symposium on Advanced Materials, Pakistan, (1995) 659-666. ... The book, edited by Zoe Barber, is based on a one-year, interdisciplinary Masters Coursegiven by the Materials Science and Metallurgy Department of
  3. Mathematical Crystallography

    www.phase-trans.msm.cam.ac.uk/2001/crystal.html
    16 Feb 2020: ISBN 0-904357-94-5, published by the Institute of Materials, 1 Carlton House Terrace, London SW1Y 5DB. ... Reviewed in Acta Crystallographica A57 (2001) 478. You can download the whole book:.
  4. Phase Transformations and Complex Properties Research Group

    www.phase-trans.msm.cam.ac.uk/design.html
    14 Feb 2020: A materials scientist must understand the methodology behind the derivation of these square-cube type laws. ... It begins with a general discussion of design in the context of materials.
  5. Materials Science & Metallurgy Master of Philosophy, Materials

    www.phase-trans.msm.cam.ac.uk/mphil/MP6-CC.pdf
    7 Jun 2010: Materials Science & Metallurgy Master of Philosophy, Materials Modelling,. Course MP6, Kinetics and Microstructure Modelling, H. ... isothermal transformation. 1. Download computer program MAP STEEL MUCG46 from the materials algo-.
  6. PowerPoint Presentation

    www.phase-trans.msm.cam.ac.uk/2023/FactSage_1.pdf
    26 Feb 2023: 13. Information Module. The Information Module compiled all the teaching materials and examples files. ... 67. Compound Module. Download from the Quercus page: “SGUNbase.cdb”. This database was originally.
  7. Bayesian Neural Network Analysis of Fatigue Crack Growth Rate in…

    www.phase-trans.msm.cam.ac.uk/abstracts/fatigue.html
    14 Feb 2020: A 'committee' model was also introduced to increase the accuracy of the predictions. ... ratio, the distinction between short crack growth and long crack growth, sample thickness and yield strength.
  8. Comparison of artificial neural networks with Gaussian processes to…

    www.phase-trans.msm.cam.ac.uk/abstracts/superalloy.gaussian.html
    14 Feb 2020: The methodologies are found to give similar results, and are able to predict the behaviour of materials that were not shown to the models during their creation. ... ISIJ International, 39 (1999) 1020-1026. The Superalloys. Residual stresses: Part 1,

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