Introduction to a Basic Machine Learning Workflow for Predicting Materials Properties
Online Presentations | 04 Oct 2022 | Contributor(s): Benjamin Afflerbach
This tutorial will introduce core concepts of machine learning through the lens of a basic workflow to predict material bandgaps from material compositions.
An Introduction to Machine Learning for Materials Science: A Basic Workflow for Predicting Materials Properties
Online Presentations | 25 Jun 2021 | Contributor(s): Benjamin Afflerbach
Materials Simulation Toolkit for Machine Learning (MAST-ML) tutorial
Tools | 07 May 2021 | Contributor(s): Ryan Jacobs, BENJAMIN AFFLERBACH
Tutorial showing the many use cases for the MAST-ML package to build, evaluate and analyze machine learning models for materials applications.
Machine Learning Lab Module
Tools | 12 Jun 2020 | Contributor(s): BENJAMIN AFFLERBACH, Rundong Jiang, Josh Tappan, DANE MORGAN
A lab activity for introduction to machine learning in materials science
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