We have added information for attendees to prepare for the bootcamp. Please check the info page!
We will have a poster session Thursday (6/29) night. We would like this to be an open forum to discuss how we can apply machine learning to a variety of materials science projects. Please bring a poster on one of your work.
Registration is now open. Click here to register
The bootcamp consists of three days of lectures and hands-on exercises covering a range of data analysis topics from data pre-processing through advanced machine learning analysis techniques. Example topics include:
The hands-on exercises will focus on demonstrating practical use of machine learning tools on real materials data. Attendees will learn to analyze a range of data types from scalar properties such as material hardness to high dimensional spectra and micrographs.
The workshop will feature talks by top researchers in the field as well as open discussions in which attendees can discuss their data analysis needs with experts. Program for the Workshop is to be announced on a later date.
National Institute of Standards & Technology
Materials Measurement Science Division
Oak Ridge National Laboratory
Center for Nanophase Materials Sciences
National Institute of Standards and Technology
Information Technology Laboratory
John Hopkins University
Department of Materials Science & Engineering
University of Maryland, College Park
Department of Materials Science & Engineering
