Last updated: June 26, 2017, 11:24 am EDT
| Tuesday June 27, 2017 Instructor: Alex Belianinov (Oak Ridge National Lab) | |
|---|---|
| 8:30am |
Registration & Breakfast |
| 9:00am |
Basics of Python and Data Cleaning |
| 10:30am |
Break |
| 12:00pm |
Lunch |
| 1:00pm |
Data Transformation |
| 3:00pm |
Break |
| 6:00pm |
Reception and dinner in Kim Rotunda |
| Wednesday, June 28, 2017 Instructors: Dan Samarov (NIST) and Tim Mueller (Johns Hopkins U.) | |
|---|---|
| 8:30am |
Registration & Breakfast |
| 9:00am |
Supervised learning |
| 10:30am |
Break |
| 12:00pm |
Lunch |
| 1:00pm |
ML Applied to Computational Materials Science |
| 2:30pm |
Break |
| 2:45pm |
Continue Supervised Learning |
| 5:00pm |
End of Day - Dinner on own |
| Thursday, June 29, 2017 Instructor: Gilad Kusne (NIST/UMD) | |
|---|---|
| 8:30am |
Registration & Breakfast |
| 9:00am |
Unsupervised Learning |
| 10:30am |
Break |
| 12:00pm |
Lunch |
| 1:00pm |
Continue Unsupervised Learning |
| 3:00pm |
Break |
| 6:00pm |
Dinner & Poster Session |
| Friday, June 30, 2017 Chair: Ichiro Takeuchi (UMD) | |
|---|---|
|
Invited Session: Recent Advances in Machine Learning |
|
| 8:30am |
Registration & Breakfast |
| 9:00am | "Deep Learning and Computer Vision" |
| 9:30am | "Sequential Learning for Materials Science" |
| 10:00am | "Designing with Data: How machine learning is morphing human, product, and system design" |
| 10:30am | Coffee Break |
| 10:45am | "Machine Learning for materials growth: growth dynamics and processing condition-functional property relations using computational and text mining methods" |
| 11:15am | "Enabling Materials by Design through NSF's DMREF program" |
| 11:30am | "A New Model for Materials Genome Initiative - Driven Research: High-throughput Experimental Materials Collaboratory (HTEMC)" |
| 11:45am |
Closing Discussions/Feedback from participants |
| 12:00pm |
Departure / Boxed lunch to go |
