All Categories (41-60 of 249)

1. Integrating Machine Learning with a Genetic Algorithm for Materials Exploration

   Online Presentations | 07 Dec 2021 | Contributor(s):: Joseph D Kern

   In this talk, we will explore how this algorithm can be used for materials discovery.

2. Feature Selection for CCA Strength Models

   Tools | 06 Dec 2021 | Contributor(s):: Zachary D McClure, Alejandro Strachan

   A tool to evaluate dataset of hardness and strength values of complex-concentrated-alloys. Feature selection, optimization, and explanation methods are included.

3. Designing Machine Learning Surrogates for Molecular Dynamics Simulations

   Online Presentations | 25 Nov 2021 | Contributor(s):: JCS Kadupitiya

   Molecular dynamics (MD) simulations accelerated by high-performance computing (HPC) methods are powerful tools for investigating and extracting the microscopic mechanisms characterizing the properties of soft materials such as self-assembled nanoparticles, virus capsids, confined electrolytes,...

4. Autonomous Neutron Diffraction Experiments with ANDiE

   Online Presentations | 14 Nov 2021 | Contributor(s):: Austin McDannald

   This tutorial will cover the working principles of ANDiE, how physics was encoded into the design, and demonstrate how ANDiE can be used to autonomously control neutron diffraction experiments.

5. Polymer Genetic Algorithm

   Tools | 05 Nov 2021 | Contributor(s):: Joseph D Kern

   Generalized genetic algorithm designed for materials discovery.

6. Machine Learning in Physics

   Tools | 04 Nov 2021 | Contributor(s):: Nicolas Onofrio

   Lectures and tutorials to learn how to write machine learning programs with Python

7. MatSci 395 Laboratory: Computational Laboratory and Exercises

   Teaching Materials | 03 Nov 2021 | Contributor(s):: Tiberiu Stan

8. 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...

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

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

   Access MatCNN by clicking here

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

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

11. Autonomous Neutron Diffraction Explorer

    Tools | 01 Nov 2021 | Contributor(s):: Austin McDannald

    Autonomously control neutron diffraction experiments to discover order parameter.

12. Machine learning for high entropy atomic properties

    Tools | 26 Oct 2021 | Contributor(s):: Mackinzie S Farnell, Zachary D McClure, Alejandro Strachan

    Explore machine learning models used to assess the variations in local atomic properties in high entropy alloys.

13. MatSci 395 Lecture 4: Neural Network Training

    Online Presentations | 07 Oct 2021 | Contributor(s):: Tiberiu Stan

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

    Online Presentations | 07 Oct 2021 | Contributor(s):: Tiberiu Stan

15. MatSci 395 Lecture 1: Introduction to Machine Learning, Materials Imaging, and Segmentation

    Online Presentations | 29 Sep 2021 | Contributor(s):: Tiberiu Stan

16. 

    Nathaniel Curran

    https://nanohub.org/members/339989

17. A Machine Learning Aided Hierarchical Screening Strategy for Materials Discovery

    Online Presentations | 09 Sep 2021 | Contributor(s):: Anjana Talapatra

    In this tutorial, we illustrate this approach using the example of wide band gap oxide perovskites. We will sequentially search a very large domain space of single and double oxide perovskites to identify candidates that are likely to be formable, thermodynamically stable, exhibit insulator...

18. MATLAB R2021a

    Tools | 09 Sep 2021 | Contributor(s):: Gen Sasaki, Lisa Kempler

    MATLAB is a programming and numeric computing platform to analyze data, develop algorithms, and create models.

19. Debugging Neural Networks

    Online Presentations | 09 Sep 2021 | Contributor(s):: Rishi P Gurnani

    The presentation will start with an overview of deep learning theory to motivate the logic in NetDebugger and end with a hands-on NetDebugger tutorial involving PyTorch, RDKit, and polymer data

20. Debugging Neural Networks

    Tools | 07 Aug 2021 | Contributor(s):: Rishi P Gurnani

    Debug common errors in neural networks.