180x Filetype PDF File size 1.57 MB Source: nanohub.org
Data science for Materials Science & Engineering Materials Descriptors FACE CAMERA for Data Science In this module • Enhance data using descriptors (this lecture) • Analyze descriptors, calculate and visualize correlations (this lecture) • Hands on tutorial using nanoHUB: modeling melting temperatures • Homework assignment Juan C. Verduzco, Zachary D. McClure, and Alejandro Strachan jverduzc@purdue.edu|| zmcclure@purdue.edu|| strachan@purdue.edu School of Materials Engineering & Network for Computational Nanotechnology Purdue University West Lafayette, Indiana USA Materials Descriptors for data science - Hands-on tutorial 1 Learning objectives and prerequisites FACE CAMERA After completing this lecture you will: • Enhance materials data using descriptors • Periodic table data • Surrogate properties and physics-based models • Analyze descriptors, calculate correlations to rank descriptors Pre-requisites: • Basic programming skills Materials Descriptors for data science - Hands-on tutorial 2 Use of descriptors vs. deep learning Descriptors Machine learning Raw Deep Learning Output data Adapted from: Jha et al. Scientific reports. 2018 Dec 4;8(1):1-3. Materials Descriptors for data science - Hands-on tutorial 3 Launch featureselect tool in nanoHUB Launch first notebook Materials Descriptors for data science - Hands-on tutorial 4
no reviews yet
Please Login to review.