Hands-on Workshop & Panel on FAIR Workflows in Materials Science

Organizers: KJ Schmidt (University of Chicago), Arun Mannodi Kanakkithodi (Purdue University), Ale Strachan (Purdue University)

Dates and Location

  • Purdue University
    Hall for Discovery and Learning Research
    Room 131
    207 S. Martin Jischke Drive
    West Lafayette, IN 47907
  • August 13-14, 2024

Background

Experimental data analysis and simulation workflows and models are at the core of the daily activities of material researchers and engineers worldwide. Making these workflows and the data they generate findable, accessible, interoperable, and reusable (FAIR) as well as reproducible is critical to accelerate innovation and improve reproducibility. In addition, FAIR workflows and data are crucial to unleashing the power of machine learning and artificial intelligence and accelerating innovation.

Supported by the NSF’s Materials Research Coordinating Network (MaRCN), this workshop will consist of two main activities:

  • Hands-on workshops to introduce materials researchers from academia, national labs, and industry to state-of-the-art FAIR workflows.
  • Expert panel to discuss state-the-art, gaps, and possible collaborative work to move the community forward.

Registration and financial support

Registration is free, and we have limited funds to support the participation of graduate students and early career researchers. Support and seats are limited, please register now by following this link.

Important: Please complete all fields in the registration form and use the comment box on the registration page to write a short paragraph about your research/work. Indicate your research group or advisor and discuss how your participation will influence your future work. This information will be used to assign financial support.

Financial support: selected participants who need to drive over 50 miles to Purdue University and less than 5 hours drive will receive a $500 stipend. Selected participants outside of a 5-hour drive will receive an $800 stipend.

Travel information: https://www.purdue.edu/visit/index.php

Hands-on workshops

Agenda

Tuesday, August 13, 2024 Wednesday, August 14, 2024
8:00 AM:  Welcome & Introductions - Ale Strachan 8:00 AM:  Panel - FAIR models: lessons learned, present, and future
                Moderator: Arun Mannodi Kanakkithodi (Purdue)
                Panelists: Choudhary, Liu, Marzari, Pizzi, Schmidt, Strachan
8:10 AM:  Aiida - Automated Interactive Infrastructure and Database for Computational Science
                Xing Wang, Julian Geiger, Nicola Marzari, Giovanni Pizzi (EPFL & PSI)
9:30 AM: Break
8:30 AM: Aiida - Hands-on workshop
               Xing Wang and Julian Geiger (PSI)
9:45 AM:  Introduction to Jarvis data and tools
                Kamal Choudhary (NIST)
10:30 AM:  Break 10:05 AM:  Jarvis - Hands-on workshop
                   Kamal Choudhary (NIST)
10:45 AM: FAIR workflows and data on nanoHUB: Sim2Ls and ResultsDB
                  Ale Strachan (Purdue)
12:00 PM: Lunch
11:05 AM: nanoHUB hands-on workshop
                 Rushik Desai and Juan Carlos Verduzco (Purdue)
1:30 PM:  Introduction to Autosolve
                Fang Liu (Emory University)
12:00 PM: Lunch 1:50 PM:  Hands-on activities
                Fang Liu (Emory University)
1:15 PM: nanoUB hands-on workshop (cont.)
               Rushik Desai and Juan Carlos Verduzco (Purdue)
2:50 PM: Closing Remarks
2:15 PM: Cultivating a FAIR Ecosystem with Garden and Foundry ML
                KJ Schmidt (University of Chicago)
3:00 PM: Adjourn
2:35 PM: Hands-on activities
                KJ Schmidt (University of Chicago)
 
5:00 PM: Adjourn