Bootcamp (Days 1-5) to take place in Edward St. John Learning and Teaching Center (Room 2204), University of Maryland Campus (9AM – 4:30PM daily)

Bootcamp (Days 1-4)

Four days of lectures and hands-on exercises covering a range of data analysis topics from introduction to python and data pre-processing to 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 'descriptors' that best predict variance in functional properties.
• Quantifying similarities between materials using complex/high dimensional data
• Identifying the most informative experiment to perform next.

Hands-on exercises will include practical use of machine learning tools on real materials experimental data (scalar values, spectra, micrographs, etc.)

Scientists will also demonstrate how they performed recently published research, from loading and preprocessing data to analyzing and visualizing results, all in Jupyter notebooks.

Thursday evening (Day 4): Camp dinner

Day 5 (morning): Annual invited talk sessions on latest advances in application of ML in materials research. Camp ends at noon.

Hotel and travel information for MLMR 2022 (Aug. 7-11, 2023)

Airports:

Baltimore Washington International Airport (closest to College Park)

DC Reagan National Airport

Dulles International Airport

Please book your hotel room on your own (there are no block room arrangements). The suggested nights for the camp are Aug. 7 (Sunday) – Aug. 12 (Friday, 5 nights departing Friday afternoon)

Nearby hotels in walking distance (we recommend you book early, so you get the good rate): < 10 min walk to the Edward St. John Learning & Teaching Center on campus where the camp will be held.

The Hotel ~$159/night

Cambria Hotel ~$137/night

Best Western Plus ~$120/night

Parking

There are several visitor parking lots, the closest one to the Workshop site (Edward St. John) is the Union Lane Garage. There is more info here: https://transportation.umd.edu/parking/visitors

If you are a student (graduate, undergraduate, or high school), write to us first at MLMR@umd.edu, so we can send you a student discount code BEFORE you register. Write to us also for an academic discount code if you work at an academic institution (university, etc.) BEFORE you register.

If you are planning to attend via zoom online, there is a discount for this also. Please write to ask for this code BEFORE you register.

The course registration will include all the course material (presentations slides in pdf files, jupyter notebook links, and recorded zoom lectures of the entire camp). As the camp start date approaches, we will be posting starting course material on the canvas website.