United States Department of Energy (DOE)

T. Meixner

UArizona may submit one pre-application as the lead institution.

RDS is offering two Department of Energy Urban Integrated Field Labs (IFL) UArizona Collaboration Webinars:

March 31, 3p to 4p
April 1, 12p to 1p

This opportunity is Institutionally Coordinated through this internal competition selection due to the short deadline and relevance to multiple areas on campus.

Limited Submissions language from the solicitation: Applicant institutions are limited to no more than one letter of intent, pre-application, or application as lead institution.

The Urban IFLs will necessarily involve diverse scientific disciplines to develop comprehensive projects including field observations, data assimilation, modeling, and model data fusion, to inform equitable solutions based on state-of-the-art uncertainty quantification and data analytics. Applications must be multi-institutional and focus on the development of a single IFL. Interested faculty are encouraged to partner with colleagues at ASU and NAU.

DOE Informational Webinar slides

Ticket #1: F. Goeltl

UArizona may submit up to 2 pre-applications or applications for multi-PI efforts and up to 3 pre-applications or applications for single-PI efforts, for a combined total of no more than 3 pre-applications or applications.

The DOE SC program in Basic Energy Sciences (BES) announces its interest in receiving new applications from single principal investigators (PIs) and from small teams to advance basic and fundamental chemical and materials sciences that underpin clean energy technologies and low-carbon manufacturing. The goal is creation of foundational knowledge to support the development of approaches that will minimize climate impacts of energy technologies and manufacturing. For this FOA, clean energy technologies include approaches to capture, produce, convert, store, and use energy that reduce or eliminate unwanted emissions such as greenhouse gases (e.g., carbon dioxide, methane, etc.). These technologies also include approaches such as direct air capture (DAC) and carbon storage/sequestration to decrease emissions that have been released into the environment from energy production and use. Low-carbon manufacturing refers to manufacturing processes that minimize carbon emissions and energy consumption. Investments from this FOA are anticipated to include awards that build foundational knowledge underpinning the Energy Earthshots Initiative.

Ticket #1: E. Ratcliff 

Ticket #2: O. Monti 

Ticket #3: V. Coropceanu

UArizona may submit three pre-applications. The pre-application institutional selections are also the selections for the application step should DOE approve a full application.

The DOE SC program in Basic Energy Sciences (BES) announces a re-competition of the Energy Frontier Research Center (EFRC) program and encourages both new and renewal applications. Applications from multi-disciplinary teams will be required to propose both discovery science and use-inspired basic research that addresses priority research directions and opportunities identified by a series of BES workshop and roundtable reports. DOE encourages applications that propose fundamental chemical sciences, materials sciences, geosciences, and biosciences research that will enable future clean energy technologies and advanced manufacturing. Coordination across programs is a high priority for DOE. EFRCs under this FOA will include awards for fundamental science that underpins the Energy Earthshots Initiative. 

No applicants // Limit: 2 // Tickets Available: 2 

UArizona may submit two Letters of Intent

DOE SC Program in Advanced Scientific Computing Research (ASCR), in collaboration with the Office of Nuclear Energy (NE), Advanced Modeling and Simulation (NEAMS) program, hereby announces its interest in receiving five-year, multi-institutional applications for the Scientific Discovery through Advanced Computing (SciDAC) Partnerships program https://www.scidac.gov/.

This FOA invites new research applications for the SciDAC-5 Partnerships that enable or accelerate scientific discovery employing deep, necessary, and productive collaborations between nuclear scientists/engineers and applied mathematicians and computer scientists, that fully exploit the capabilities of DOE High-Performance Computing (HPC) in order to accelerate and enhance NE objectives.

UArizona may submit two applications.

No applicants.

No applicants.

UA may submit 2 pre-applications and the lead institution.Ticket #1: CK Chan

None.

UA may submit two Concept Papers and one Full application (if advanced) for each topic area.Topic 1: A. Zaffos

B.G. Potter