All Categories (1-8 of 8)

1. Machine Learning in Materials Science: Image Analysis Using Convolutional Neural Networks in MatCNN

   Courses | 03 Nov 2021 | Contributor(s):: Tiberiu Stan, Jim James, Nathan Pruyne, Marcus Schwarting, Jiwon Yeom, Peter Voorhees, Ben J Blaiszik, Ian Foster, Jonathan D Emery

     This course introduces fundamental concepts of artificial intelligence within the context of materials science and image segmentation. The two-week module was taught as part of a Computational Methods in Materials Science course at Northwestern University. The module is aimed at...

2. MatSci 395 Lecture 5: MatCNN In-Class Tutorial

   Online Presentations | 01 Nov 2021 | Contributor(s):: Tiberiu Stan

   Access MatCNN by clicking here

3. MatSci 395 Lecture 6: How Do Convolutional Neural Networks Work?

   Online Presentations | 01 Nov 2021 | Contributor(s):: Tiberiu Stan

4. U-Net Convolutional Neural Networks for Image Segmentation: Application to Scanning Electron Microscopy Images of Graphene

   Online Presentations | 01 Feb 2021 | Contributor(s):: Aagam Rajeev Shah

   This tutorial introduces you to U-Net, a popular convolutional neural network commonly developed for image segmentation in biomedicine. Using an assembled data set, you will learn how to create and train a U-Net neural network, and apply it to segment scanning electron microscopy images of...

5. SEM Image Segmentation Workshop

   Tools | 12 Jan 2021 | Contributor(s):: Aagam Rajeev Shah, Darren K Adams, Mitisha Surana, Ricardo Toro, Sameh H Tawfick, Elif Ertekin

   This tool introduces users to machine learning used to segment microscopy images

6. Uncertainty Quantification and Scientific Machine Learning for Complex Engineering Systems

   Online Presentations | 17 Aug 2020 | Contributor(s):: Guang Lin

   In this talk, I will first present a review of the novel UQ techniques I developed to conduct stochastic simulations for very large-scale complex systems.

7. SEM Image Segmentation Tutorial using SEM Image Processing Tool

   Teaching Materials | 16 Jun 2020 | Contributor(s):: Joshua A Schiller

   In this activity, students will learn about the use of image processing methods to analyze Scanning Electron Microscopy images using a technique known as Image Segmentation and the SEM Image Processing Tool. The purpose of this tutorial is demonstrate several methods for image masking:...

8. Image Segmentation for Graphene Images

   Online Presentations | 29 Apr 2020 | Contributor(s):: Joshua A Schiller

   This lecture outlines the need for a fast, automated means for identifying regions of images corresponding to graphene. Simple methods, like color masking and template matching, are discussed initially. Unsupervised clustering methods are then introduced as potential improvements...