Scientific Machine Learning Workshop

Discovery Park at Purdue University

Workshop Objectives:
<UL>
<LI CLASS="MsoNormal">Provide coordination of topic areas for Purdue-led proposals (this is very likely to be a limited submission)</LI>
<LI CLASS="MsoNormal">Facilitate formation of interdisciplinary teams</LI>
<LI CLASS="MsoNormal">Identify and provide resources for potential PIs of teams</LI>
</UL>
 
Tentative Schedule:
9:00 – 9:15 am                    Welcoming Remarks/Intent of the Workshop
9:15 – 10:00 am                 U.S. DOE Office of Science research priorities and funding opportunities (near and mid-term)
10:00 – 10:30 am               Report Outbrief from February 6th Machine Learning Workshop, U.S. DOE Office of Science
<UL>
<LI>Interpretable machine learning</LI>
<LI CLASS="MsoNormal">Effective features for scientific machine learning</LI>
<LI CLASS="MsoNormal">Leveraging domain knowledge and constraints in ML formulations</LI>
<LI CLASS="MsoNormal">Machine learning in high dimensions</LI>
<LI CLASS="MsoNormal">Machine learning for enhancing data collection & use on DOE facilities</LI>
<LI CLASS="MsoNormal">Machine learning for inverse problems and inverse problems for machine learning</LI>
<LI CLASS="MsoNormal">Reproducibility of machine learning</LI>
<LI CLASS="MsoNormal">Quantifying the discrepancy in quantities of interest derived using machine learning</LI>
<LI CLASS="MsoNormal">Machine learning-enabled adaptive scientific computing</LI>
<LI CLASS="MsoNormal">Addressing the complexity of model architectures & DOE applications</LI>
</UL>
10:30 – 11:30 am               Research faculty presentations
11:30 – 12:00 pm               Identify and breakdown into research groups
12:00 – 1:00 pm                 Lunch/Networking
1:00 – 1:45 pm                   Discussion of potential topics for Purdue-led proposals, and capture of topic areas where you may wish to partner with other institutions.
1:45 – 2:30 pm                    Breakout sessions for potential proposals
2:30 – 3:00 pm                    Next Steps/Closing

Stewart Center (STEW 214ABCD)

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Scientific Machine Learning Workshop

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