March 25, 2019 UMD Home FabLab AIMLab
MLMR 2018
Machine Learning for Materials Research
Workshop on Machine Learning Quantum Materials
July 30, 2018 - August 3, 2018

July 30 - August 03, 2018

Institute for Bioscience & Biotechnology Research (Gaithersburg, Maryland)


Added Parking Information


Parking information is now available.

Updated Program Information


We've finalized the workshop speakers and are adding talk titles to the program as we receive them.

Hotel Information


We've secured a block of hotel rooms, please check the Hotels page for more information.

Registration is now open!


Click here to register for MLMR 2018.

Program & Topics have been updated


This year's topics and program has been updated.


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.


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. Details for the Workshop are still to come.



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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