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

Registration is Open!

5/2/2019

Please click here to register for MLMR 2019.

Ticket prices are $500 for general attendees and $300 for students.

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

Travel & Accommodations

Travel & ground transportation to the MLMR Boot Camp & Workshop at the University of Maryland, and hotel accommodations are not included in the posted registration fees and are the responsibility of the attendee.

Venue

All program sessions will be held at The Jeong H. Kim Engineering Building at the University of Maryland in College Park, MD.

Jeong H. Kim Engineering Building
8228 Paint Branch Drive
College Park, MD 20742

Parking

Regents Drive Garage
Visitor parking available on roof level
$3 per hour payable by credit card or via the Parkmobile app
https://transportation.umd.edu/parking/visitors

Hotel Accommodations

Please visit http://cvs.umd.edu/visitors/offcampus.html to view a listing of off-campus accommodations. The University of Maryland Conferences & Visitor Services department has partnered with several hotels located in close proximity to the campus and/or local areas of interest. Some hotels offer special rates for prospective students, Terp families, and visitors to the university, so be sure to ask when making a reservation and/or checking in.

Travel

The University of Maryland is located less than 2 miles or about a 30 minute walk from the College Park Metro station, located on the WMATA green line. It is also located near three major airports that serve the Baltimore-Washington, DC area.

Registration

Registration for the Machine Learning for Materials Research Boot Camp & Workshop on Autonomous Materials Research to be held August 5 - 9, 2019 at the University of Maryland includes attendance to program sessions, meeting materials, an Opening Reception on Monday evening, a Poster Reception & Banquet Dinner on Wednesday evening, and daily breakfast, lunch and refreshment breaks Monday through Friday.

General Attendee $500
Student Attendee $300

Register Here

Poster Presenter Information

The annual poster session on Wednesday evening will be titled "Machine Learn This!" Bring a poster with your favorite/latest work*, and we will discuss how it can be analyzed using machine learning. Posters can be on any material related topic. Posters can begin to be set up after lunch on Wednesday and must be taken down at the conclusion of the Banquet Dinner. Easels will be provided.
*Registrants will be asked if they plan to present a poster during the Poster Reception on Wednesday via this online registration form.

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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