DOE Scientific Discovery through Advanced Computing (SciDAC): Partnerships in Basic Energy Sciences
New Requirement: All applications for this internal competition must be submitted via InfoReady. You can sign in using your Net-ID and your @stonybrook.edu email address. Please allow sufficient time to familiarize yourself with the portal prior to submitting your pre-application. Pre-application requirements are listed in the announcement below.
The Office for Research and Innovation invites applications to the DOE Scientific Discovery through Advanced Computing (SciDAC): Partnerships in Basic Energy Sciences program. The DOE SC programs in Basic Energy Sciences (BES) and Advanced Scientific Computing Research (ASCR) are interested in receiving applications from interdisciplinary teams to establish partnerships under the Scientific Discovery through Advanced Computing (SciDAC) program in specific targeted topic areas that relate to the BES and ASCR missions. Stony Brook University can submit no more than a total of TWO pre-applications and applications as the lead institution.
Please see below for details. If you are interested in applying, you must submit a pre-application via the SciDAC Pre-Application Portal in InfoReady by Tuesday, February 11, 2025 at 11:59 pm. Pre-applications for internal review and selection must be uploaded to the portal as a single PDF document.
WHAT DOES IT FUND: SciDAC will support interdisciplinary teams to establish partnerships between domain scientists in the fields of materials science, condensed matter physics, chemical sciences, geosciences, energy-related biosciences, applied mathematics, and computer science. Scientists will work synergistically to overcome barriers between these disciplines and advance discovery science through advanced computation. The integrated teams will engage with the SciDAC Institutes and allow full use of DOE’s classical HPC capabilities. In addition, applications must focus on one of the following three topics:
- Topic A - Complex dynamical systems for energy-relevant chemical and/or physical systems and materials
- Topic B - Reliable and explainable Artificial Intelligence for chemical and/or physical mechanism extraction from phenomena
- Topic C - Foundation Models (FMs) for chemical and materials sciences
APPLICANT REQUIREMENTS: No restrictions
AWARD: $1M to $2.5M per year for 4 years
SPONSOR DEADLINE: Pre-application (required) due February 21, 2025; application due April 25, 2025
A complete pre-application should comprise of the following:
- Brief Description (no more than one page) that includes the topic and how it will be addressed.
- A listing of senior/key personnel (no page limit), including name, Institution, Expertise and SciDAC Institute