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Scientific Discovery through Advanced Computing (SciDAC) Institutes is sponsored by U.S. Department of Energy (DOE) Office of Science, Advanced Scientific Computing Research (ASCR). This program supports scientific discovery through advanced computing.
While the specific call details for new applications are not explicitly stated as open with a deadline, the program is ongoing and represents a significant funding opportunity for scientific computing research.
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Scientific Discovery through Advanced Computing In today's world, supercomputers are essential to addressing scientific topics of national interest, including clean energy, new materials, climate change, the origins of the universe, and the nature of matter.
The SciDAC program was initiated in 2001 ( Program Plan ) to develop the Scientific Computing Software and Hardware Infrastructure needed to advance scientific discovery using supercomputers. As supercomputers continuously evolve, direct engagement of computer scientists and applied mathematicians with the scientists of targeted application domains becomes ever more necessary for taking full advantage of these new systems.
In this regard, SciDAC is a partnership involving US Department of Energy’s all 6 Office of Science (SC) programs — Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High-Energy Physics, and Nuclear Physics — as well as Office of Nuclear Energy to dramatically accelerate progress in scientific computing that delivers breakthrough scientific results through partnerships composed of applied mathematicians, computer scientists, and scientists from other disciplines.
Since its inception, the SciDAC model has accelerated the pace of scientific discovery. Now in its fourth cycle, SciDAC continues to address mathematical and computational challenges related to predictive modeling and high fidelity simulations and to the generation and management of large data sets, increased demand for scientific credibility, and expected disruptions in computer architectures.
Although SciDAC is a partnership among SC programs, it is also built around collaborative teams of experts from national laboratories, universities, and other research organizations. This approach not only taps into the broadest range of expertise but also ensures that the resulting tools and methods will be available to the wider research community.
Three-Dimensional Simulations of Core-Collapse Supernova Explosions Your browser does not support the embedded video. Click here to view the video directly. The Core-collapse supernova problem is a long-standing multi-physics conundrum in radiation/hydrodynamics that has resisted solution for more than 50 years.
We are now in a position to simulate in three dimensions the detailed collapse and explosive evolution of the cores of the progenitor massive stars.
Using the sophisticated code Fornax , developed expressly to address supernova theory, we have recently simulated (using NERSC, Blue Waters, Stampede2) more than ten 3D neutrino-radiation/hydrodynamics models (and this is a fraction of our planned model suite, soon to be joined by INCITE/Theta runs), most of which explode naturally with default physics.
This is the largest and most comprehensive 3D study ever performed in supernova theory. Together with our exploration of the supernova mechanism, we are calculating the recoil kicks, the gravitational wave signals, the debris morphologies, the neutrino signatures, and the nucleosynthesis associated with these 3D models of explosion. Recent papers: arXiv:1801.
01914, arXiv:1801. 08148, arXiv:1804. 00689, arXiv:1806.
07390, arXiv:1809. 05106, arXiv:1812. 07703 Prof. Adam Burrows , Princeton, SciDAC4-TEAMS collaboration
Based on current listing details, eligibility includes: Not explicitly detailed in the provided snippets, but typically includes universities, national laboratories, and other research institutions involved in advanced scientific computing. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Funding amounts vary based on project scope and sponsor guidance. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is December 1, 2025. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
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Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
AWS Imagine Grant program - Momentum to Modernize Award is sponsored by Amazon Web Services (AWS). This award provides funding for transformational infrastructure projects, helping nonprofit organizations enhance their core mission operations with technology. This includes foundational technology projects, such as migrating servers to the cloud and modernizing new and existing applications.