Title: Data Driven Materials Discovery: From ML to Maker Space
Sunday, July 30th, 2023 to Friday, August 4th, 2023
Rapid advances in materials data availability holds the promise of an accelerated, data-driven materials discovery future. From July 30th to August 4th, 2023 PARADIM will host a summer school on data in materials sciences introducing machine learning and data science tools for crystal synthesis with a focus on new, data-driven approaches to planning and guiding projects for 2D, Interfacial, and Layered Materials. The school is divided into morning lectures and afternoon hands-on labs integrating computational tools with experimental PARADIM laboratory tools.
The hands-on lab activities are aimed to demonstrate the potential of ML to accelerate experimental quantum materials discovery through design for targeted properties. Students will use PARADIM facilities throughout the school to make and test materials based on the approaches discovered through the ML models they build. The curriculum includes computational materials design, high-throughput experimentation, closed-loop systems, and the development of autonomous methods empowered by AI/ML to create laboratories of the future and accelerated materials discovery.
Apply now. Space is limited.
Applicants will be notified on their acceptance starting April 30,2023.
PARADIM 2023 Summer School JHU: Sunday, July 30th, 2023 to Friday, August 4th, 2023
Sunday, July 30th, 2023
3:00 PM - 8:00 PM
Arrival and Check-in at Housing
7:00 PM - 9:00 PM
No Host Dinner (Optional)
Staff
Monday, July 31st, 2023
7:45 AM - 8:45 AM
Continental Breakfast
8:45 AM - 9:00 AM
Welcome and Introductions
Staff
9:00 AM - 9:45 AM
Directions in Machine Learning
Tyrel McQueen - PARADIM JHU
10:00 AM - 11:00 AM
Materials Repositories and Platforms
Alejandro Strachan - Purdue University
Break
11:15 AM-12:15 PM
Semiconductor Material Discovery
Alejandro Strachan - Purdue University
Lunch
1:15 PM—2:15 PM
Boot camp student activity
Staff
Break
2:30 PM-5:30 PM
Hands-on Activities
Staff
Tuesday, August 1st, 2023
7:45 AM - 8:45 AM
Continental Breakfast
8:45 AM - 9:45 AM
Superconducting Materials Properties Prediction
Chris Stiles - JHU Applied Physics Laboratory
10:00 AM - 11:00 AM
Effective Collaboration (1 of 3)
Lynne Vincent - Syracuse University
Break
11:15 AM-12:15 PM
Computational Materials Design
Taylor Sparks - University of Utah
Lunch
1:15 PM—2:15 PM
Computational Materials Discovery
Eva Zurek - University at Buffalo
Break
2:30 PM-5:30 PM
Hands-on Activities
Staff
Wednesday August 2, 2023
7:45 AM - 8:45 AM
Continental Breakfast
8:45 AM - 9:45 AM
Future Directions in Structure Prediction
Eva Zurek - University at Buffalo
10:00 AM - 11:00 AM
High Throughput Materials Design
Mahshid Ahmadi - University of Tennessee
Break
11:15 AM-12:15 PM
Effective Collaboration (2 of 3)
Lynne Vincent - Syracuse University
Lunch
1:15 PM—2:15 PM
Effective Collaboration (3 of 3)
Lynne Vincent - Syracuse University
2:30-5:30
Hands-on Activities
Thursday, August 3rd, 2023
7:45 AM - 8:45 AM
Continental Breakfast
8:45 AM - 9:45 AM
Hands-on Activities
Staff
10:00 AM - 11:00 AM
Autonomy: Machine Learning
for Materials Characterization
and Visualization
Rama Vasudevan - Oak Ridge National Laboratory
Break
11:15 AM - 12:15PM
ML-Ready Data and Ecosystems for Materials Discovery
Ben Blaiszik, Logan Ward, K.J. Schmidt - University of Chicago
Lunch
1:15 PM—5:30 PM
Hands-on Activities
Staff
Friday, August 4th, 2023
7:45 AM - 8:45 AM
Continental Breakfast
8:45 AM - 9:45 AM
Hands-on Activities
Staff
10:00 AM – 11:15 AM
The Interoperable Data Future of Materials Design
David Elbert - PARADIM JHU
11:15 AM – 12:15 PM
ML and Frontiers
Tyrel McQueen - PARADIM JHU
Lunch
1:15 PM – 3:15 PM
Hands-on Activities
Staff
3:30 PM – 5:00 PM
Group Presentations
Staff
5:00 PM – 5:15 PM
Wrap up
Staff
