Details

Published on Friday, 19 July 2024 18:47

Location: Purdue University, West Lafayette, Indiana, USA
Dates: August 13-14, 2024

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
We have limited funds to support the participation of graduate students and early career researchers. Support and seats are limited, please register now: https://nanohub.org/events/details/2421/register