March 28, 2019 UMD Home FabLab AIMLab
MLMR 2019
Machine Learning for Materials Research Bootcamp
&
Workshop on Autonomous Materials Research
August 5, 2019 - August 9, 2019

Announcements

Save the Date!

3/25/2019

This year's MLMR Boot Camp & Workshop 2019 will be held from August 5th - 9th, 2019. The theme of Friday's workshop will be on Autonomous Materials Research.

Check back around mid April for the Registration Link.

Bootcamp

The bootcamp consists of four 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:

  • Identifying important features in complex/high dimensional data
  • Visualizing high dimensional data to facilitate user analysis.
  • Identifying the fabrication 'descriptors' that best predict variance in functional properties.
  • Quantifying similarities between materials using complex/high dimensional data

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.

Workshop

Theme: Autonomous Materials Research

Sponsors




Organizers

A. Gilad Kusne A. Gilad Kusne National Institute of Standards & Technology Materials Measurement Science Division
Alexei Belianinov Alexei Belianinov Oak Ridge National Laboratory Center for Nanophase Materials Sciences
Daniel Samarov Daniel Samarov National Institute of Standards and Technology Information Technology Laboratory
Ichiro Takeuchi Ichiro Takeuchi University of Maryland, College Park Department of Materials Science & Engineering

Colleges A. James Clark School of Engineering
The College of Computer, Mathematical, and Natural Sciences

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