OSCER users at OU,

Do you plan to submit a proposal to the following program?

DOE Scientific Machine Learning for Complex Systems

If so, OSCER can provide a description of the machine learning
resources (a) that we already have and (b) that we plan to
purchase soon.

See below for details.

Henry

>---------- Forwarded message ----------
>Date: Wed, 25 Jan 2023 16:41:22 +0000
>From: Research Information Services <[log in to unmask]>
>Subject: LIMITED SUBMISSION: DOE Scientific Machine Learning
>for Complex Systems
>
>LIMITED SUBMISSION
>
>DOE Scientific Machine Learning for Complex Systems
>
>Link to FOA
>
>https://science.osti.gov/-/media/grants/pdf/foas/2023/SC_FOA_0002958.pdf
>
>Synopsis
>
>The DOE SC program in Advanced Scientific Computing Research
>(ASCR) hereby announces its interest in research applications
>to explore potentially high-impact approaches in the
>development and use of scientific machine learning (SciML)
>and artificial intelligence (AI) in the predictive modeling,
>simulation, and analysis of complex systems and processes.
>
>Internal Submission Information: The University of Oklahoma
>will be limited to no more than four (4) applications as the
>lead institution in a single- or multi-institutional team.
>If you are interested in submitting an application for this
>solicitation, you must submit an internal application by
>February 1, 2023. 
>
>On the internal application please select "DOE Scientific
>Machine Learning for Complex Systems" from the dropdown menu
>for the Agency and Competition name.
>
>The internal application must be submitted online via this
>link: Internal Application,
>
>https://ousurvey.qualtrics.com/jfe/form/SV_2lDPjSmZboDryjY
>
>and should include:
>
>* a one- to two-page description of the objectives and
>technical approach of the proposed research
>
>* a CV for the lead PI
>
>* a list of potential team members if applicable
>
>Internal deadline for internal application –February 1, 2023
>
>Agency deadline for Pre-Applications –March 1, 2023
>
>Agency deadline for Applications –April 12, 2023
>
>Disclaimer: While the Office of Research Services (ORS)
>makes every effort to ensure that correct information is
>released regarding all Sponsor funding solicitations,
>it is still incumbent upon the researcher and his/her
>designee(s) to reconfirm the accuracy of any information
>provided in the Sponsor links. Sometimes, Sponsors change
>or revise funding announcements without notice to the
>recipients. Therefore, please review the most current
>guidelines and conditions of a proposal solicitation
>thoroughly and carefully before submitting your proposal.