United States Department of Energy (DOE)

 Limit: 15* // Tickets Available: 10

PO Confirmed DOE will accept 15 applications, 3 for each of the 5 research areas.

L. Xuan ( Computer science) - Research Area 2: AI Innovations for Scientific Knowledge Synthesis and Software Development
M. Chertkov (Pharmacy) - Research area 3: AI Innovations for Computational Decision Support of Complex Systems. 
R. Tandon (Electrical & Computer Engineering) // Subaward Lawrence Berkeley National Lab - Research Area 4: Federated and privacy-preserving for foundation and other AI models for science.
S. Salehi (Electrical and Computer Engineering) - Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures. 
M. Krunz (Electrical & Computer Engineering) -  Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures.
T. Adegbija (Electrical & Computer Engineering) -  Research Area 5: The Co-Design of Energy-Efficient AI Algorithms and Hardware Architectures.

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. Specifically, advancements in this area are sought that can enable the development of: 

• Foundation models for computational science;
• Automated scientific workflows and laboratories;
• Scientific programming and scientific-knowledge-management systems;
• Federated and privacy-preserving training for foundation and other AI models for science; and
• Energy-efficient AI algorithms and hardware for science.

Limit: 3 // Tickets Available: 2

N. Rengaswamy (Electrical and Computer Engineering)

The DOE SC program in Advanced Scientific Computing Research (ASCR) announces its interest in receiving applications that advance the field of quantum computing by developing enabling end-to-end software infrastructures. This FOA solicits applications from large cross- disciplinary teams that will advance computer science toward a software stack that is ready to leverage multiple quantum technologies, or will develop mathematical foundations, algorithms, and software tools toward quantum utility [1] demonstration for applications within the DOE mission.

Research proposed in response to this FOA must primarily focus on addressing one of the two topics described below:

Topic 1 – Modular Software Stack: The diversity of quantum computing architectures and hardware technologies is expected to persist into the foreseeable future; this is an important consideration that guides the advancement of computer science sought in this topic. The development of an integrated computational ecosystem requires a general-purpose quantum software stack that is adaptable to, and takes advantage of, multiple kinds of quantum hardware. We seek basic research in computer science and applied mathematics that:

• Addresses practical and fundamental bottlenecks that hinder modularity and potential synergy among selected hardware technologies;
• Pursues general approaches to integration that may remain relevant for future technologies;
• Devises ways to embed quantum processors in parallel and distributed computing models; and
• Integrates error management across the software stack.

Topic 2 – Quantum Utility: This topic aims to advance the research towards achievement and demonstration of quantum utility [1] by developing new algorithms and fine-tuning all levels of the software stack for a selected portfolio of promising problems within the ASCR mission.

Applications should:

• Choose generalizable application-inspired target problems;
• Develop algorithms for optimized math kernels and math primitives for selected current (NISQ) and future quantum systems that significantly advance state-of-the-art performance for the selected target problems;
• Adapt, if needed, any level of the software stack for the specific target problems; and
• Estimate quantum resources by employing important complementary metrics, including energy-to-solution.

Verification protocols and tools are important for both Topic 1 and Topic 2 and should be discussed in the application.Applicants must choose and specify Topic 1 or Topic 2 as the focus of their application. In the choice of Topic 1 or 2, proposed research is encouraged to consider multiple metrics, such as qubit count, gate fidelity, and qubit connectivity.

The ceiling and floor specified below are for total costs, both direct and indirect costs.

Ceiling

$3,000,000 per year

Applications requesting more than this amount of support may be declined without further review.

Floor

$250,000 per year

Applications requesting less than this amount of support may be declined without further review.

 Limit: 5* // Tickets Available: 4

Q. Hoa ( Aerospace-Mechanical Engineering) -  Topic 2. Smart Manufacturing Platforms for Battery Production.

The goals of this FOA are to advance manufacturing platform technologies in the following specific areas: 1) Platforms for next generation battery manufacturing - focusing on manufacturability and scalability of critical battery components and system architectures 2) Smart manufacturing platforms for battery production - developing innovative ways to revolutionize battery prouction. *An entity may submit only one Concept Paper for each topic area/sub-topic area.
 

Topics include:

1. Platforms for Next Generation Battery Manufacturing

     1.1 Processes and Machines for Sodium-ion Batteries

     1.2 Processes and Design for Manufacturability of Flow Batteries

     1.3 Scalable Manufacturing of Nanolayered Films for Energy Storage

2. Smart Manufacturing Platforms for Battery Production

No applicants  //  Limit: 5* // Tickets Available: 5 

*An entity may submit only one Concept Paper and one Full Application for each topic area of this FOA.

The goal of this FOA is to engage industry in the prototyping and validation of technologies and processes proven at the bench scale to accelerate commercial readiness and adoption. Successful projects will: 

• Validate the materials and manufacturing technologies that reduce demand or extend the lifetime of critical materials;
• Enable informed decisions, optimize processes, and build confidence in technology scale up through life-cycle assessment (LCA) and technoeconomic analysis (TEA);
• Address the urgency to meet critical material demand with secure and sustainable critical material manufacturing technologies.

The topics listed in this FOA address specific manufacturing challenges facing critical material supply chains in the U.S.: 

• Topic 1 – Use of Magnets with Reduced Critical Materials Content
• Topic 1a – Critical Material Lean/Free Magnets for Clean Energy Technologies
• Topic 1b – Motors and Drivetrains using Critical Material Lean/Free Magnets
• Topic 2 – Improved Unit Operations of Processing and Manufacturing of Critical Materials
• Topic 3 – Critical Material Recovery from Scrap and Post-Consumer Products
• Topic 4 – Reduced Critical Material Demand for Clean Energy Technologies

No Applicants //  Limit: 2 // Tickets Available: 2 

Applicant institutions are limited to no more than two pre-applications and two applications as the lead institution.

The DOE SC program in Biological and Environmental Research (BER), through its Bioimaging Research effort, hereby announces its interest in receiving innovative applications to advance fundamental research or use-inspired technologies of new bioimaging or sensing approaches. Fundamental research to enhance spatial and temporal resolution, measurement speed, long-term sample stability, selectivity, sensitivity, or chemical specificity of bioimaging technologies are desirable. Proposed research should demonstrate a comparative advantage over state-of-the-art techniques or identify biological characteristics that cannot currently be measured. Quantumenabled technologies are allowed but not required in this FOA. Applications can be submitted under one of two subtopics: 1) Novel research concepts proceeding through technical validation that are not required to evaluate new biological hypotheses; 2) Innovative experimental prototype research proceeding through hypothesis-driven biological experimentation; proposals submitted under this subtopic are encouraged to coordinate with biological collaborators if domain expertise is not in-house. All applications are expected to describe how, if realized, they would advance biological knowledge of plant and microbial systems relevant to bioeconomy or environmental research in fields of study supported by BER.

Limit: 2 // Tickets Available: 1 // L. Folks (Semiconductor Strategy)

Applicant institutions are limited to no more than two pre-applications or applications as the lead institution.

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 discovery science and use-inspired basic research that addresses priority research directions and opportunities identified by a series of BES workshop and roundtable reports. The focus of the EFRC program is on fundamental scientific research, therefore applications to this FOA must not propose applied research and technology development activities.

BES is soliciting renewal applications for basic science in three topical areas: 1) Transformative manufacturing, 2) Quantum information science (QIS), and 3) Environmental management. BES is soliciting new applications for basic science in two topical areas: 1) Co-design of materials and processes to revolutionize microelectronics and/or QIS fabrication, and 2) Environmental management.

Limit: 2 // Tickets Available: 1

M. Chertkov (Applied Math)

Applicant institutions are limited to both:
• No more than two pre-applications or applications as the lead institution.
• No more than one pre-application or application for each PI at the applicant institution.

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 data reduction techniques and algorithms to facilitate more efficient analysis and use of massive data sets produced by observations, experiments and simulation.

Scientific observations, experiments, and simulations are producing data at rates beyond our capacity to store, analyze, stream, and archive the data in raw form. Of necessity, many research groups have already begun reducing the size of their data sets via techniques such as compression, reduced order models, experiment-specific triggers, filtering, and feature extraction. Once reduced in size, transporting, storing, and analyzing the data is still a considerable challenge – a reality that motivates SC’s Integrated Research Infrastructure (IRI) program [1] and necessitates further innovation in data-reduction methods. These further efforts should continue to increase the level of mathematical rigor in scientific data reduction to ensure that scientifically-relevant constraints on quantities of interest are satisfied, that methods can be integrated into scientific workflows, and that methods are implemented in a manner that inspires trust that the desired information is preserved. Moreover, as the scientific community continues to drive innovation in artificial intelligence (AI), important opportunities to apply AI methods to the challenges of scientific data reduction and apply data-reduction techniques to enable scientific AI, continue to present themselves [2-4].

The drivers for data reduction techniques constitute a broad and diverse set of scientific disciplines that cover every aspect of the DOE scientific mission. An incomplete list includes light sources, accelerators, radio astronomy, cosmology, fusion, climate, materials, combustion, the power grid, and genomics, all of which have either observatories, experimental facilities, or simulation needs that produce unwieldy amounts of raw data. ASCR is interested in algorithms, techniques, and workflows that can reduce the volume of such data, and that have the potential to be broadly applied to more than one application. Applicants who submit a pre-application that focuses on a single science application may be discouraged from submitting a full proposal.

Limit: 1 // PI: D. Soh (Wyant College of Optical Sciences)

The DOE SC program in Biological and Environmental Research (BER), through its Bioimaging Research effort, hereby announces its interest in receiving innovative applications to advance fundamental research or use-inspired technologies of new bioimaging or sensing approaches. Fundamental research to enhance spatial and temporal resolution, measurement speed, long-term sample stability, selectivity, sensitivity, or chemical specificity of bioimaging technologies are desirable. Proposed research should demonstrate a comparative advantage over state-of-the-art techniques or identify biological characteristics that cannot currently be measured. Quantum-enabled technologies are allowed but not required in this FOA. Applications can be submitted under one of two subtopics: 1) Novel research concepts proceeding through technical validation that are not required to evaluate new biological hypotheses; 2) Innovative experimental prototype research proceeding through hypothesis-driven biological experimentation; proposals submitted under this subtopic are encouraged to coordinate with biological collaborators if domain expertise is not in-house. All applications are expected to describe how, if realized, they would advance biological knowledge of plant and microbial systems relevant to bioeconomy or environmental research in fields of study supported by BER.

Program Objective

BER is soliciting applications in the following subtopic areas: 1) fundamental imaging or sensing research from concept to validation or 2) evaluation of biological hypotheses or questions with feasible, use-inspired prototypes. Under subtopic 1) applications could evaluate, untested concepts, and theoretical models, develop novel experimental prototypes and validate measurement accuracy against known technical or biological validation standards. Under subtopic 2) research of experimental prototypes of instruments and methods that will include demonstration of feasibility leading to hypothesis-driven biological experimentation to demonstrate value to the user community. This FOA does not solicit late-stage optimization after initial prototype research, or engineering development of resources, or equipment.

Subtopic 1: Concept to Validation

Projects can begin at the conceptual (pre-experimental) stage and move through validation by comparing technical performance and biological measurements against accepted standards. This stage is too early to investigate new biological questions until proven accurate and reproducible. The intent of the first subtopic is to include applications that might not yet have experimental demonstration of feasibility but hold promise of significant impact if successful. These high-risk high-reward applications might reside completely within a scientific and technical field of research and are not required to demonstrate novel biological utility. However, validation against already characterized synthetic or biological samples in BER-supported bioenergy and environmental research should be included. Measurement should be compared to known or “gold-standard” targets measured by competing methods.

Demonstration in living systems is not required, but systems must have future impact on in situ imaging, measuring, or modeling for plant- and microbial-based bioenergy research. Proposed projects should hold promise for significant advances in imaging or sensing and must include plans to manage the high risk inherent in testing novel concepts and techniques. These “high-risk/high reward” projects might have no preliminary data to support the concept making feasibility challenging to evaluate for scientific merit. However, reviewers will be instructed to evaluate merit based on the future significance of the potential for success and the risk-reward balance when evaluating the applications for consideration of funding. In all applications it is expected that the future significance for biological investigations in fields of study supported by BER will be described.

Subtopic 2: Prototypes for Biological Hypothesis Research

Projects can begin with use-inspired experimental prototypes that will be tested for technical and biological validation but cannot include development to field-ready demonstration prototypes. In addition to technical research and testing, projects must include research to evaluate an untested biological question or hypothesis. Optionally, collaboration with external biological investigators can be included towards evaluating biological hypotheses. The intent of the second subtopic is for technically feasible research that can be tested to demonstrate utility for biological users. Public dissemination of research results can provide demonstration of value to the BER research community and generate interest in adoption of new technologies.

Demonstration in living systems is not required, but technical systems must have future impact on in situ imaging, measuring, or modeling of plant- and microbial-based bioeconomy or environmental research. Applications should demonstrate an advantage over current techniques or measure new biological characteristics that could not be accessed with existing approaches. Further, evaluating untested biological hypotheses is required to demonstrate project significance to bioenergy, bioeconomy, or environmental research. Multidisciplinary teams of physical and chemical scientists, plant biologists, microbiologists, and engineers are encouraged to develop high impact imaging and sensing approaches that are inspired by well-defined biological hypotheses. Optional funding for collaboration with investigators outside of the PIs laboratory can be requested in the application for out years two and three. In all applications it is expected that the future significance for biological investigations in fields of study supported by BER will be described.

No Applicants  // Limit: 2 // Tickets Available: 2 

Applicant institutions are limited to no more than two pre-applications or applications as the lead institution for each PI at the applicant institution.

The DOE SC program in Fusion Energy Sciences (FES) hereby announces its interest in receiving applications to carry out experimental research in magnetic fusion energy sciences on long-pulse overseas stellarator facilities, namely, Wendelstein 7-X (W7-X – Germany) and the Large Helical Device (LHD – Japan). The research should be related to the planning, execution, and analysis of experiments concerning the topical areas described below. The FES Burning Plasma Science: Long Pulse portfolio supports U.S. researchers who work in collaboration with foreign scientists to explore critical science and technology issues at the frontiers of magnetic fusion research. These collaborations take advantage of the unique capabilities of the most advanced overseas research facilities.

No applicants  // Limit: 4* // Tickets Available: 4

*An entity may submit only one Concept Paper and one Full Application for each topic area of this FOA.

The Critical Materials Accelerator aims to validate and prototype technologies and processes that address critical materials challenges by developing alternatives, diversifying and expanding supply, increasing manufacturing and material efficiency, and establishing a circular economy. The Accelerator intends to speed up the adoption of innovation while promoting safe, sustainable, economic, and environmentally just solutions to meet current and future critical materials supply chain needs​.

This FOA solicits proposals that advance innovation to realize the Department’s critical minerals and materials vision of a reliable, resilient, affordable, diverse, sustainable, and secure domestic supply chains for the clean energy economy. Projects funded under this FOA will de-risk innovation and mature technology development in partnership with industry to reduce demand through alternative materials or technologies, extend the lifetime of critical materials, and advance secure and sustainable critical materials manufacturing technologies. Each topic area of the FOA addresses priority technologies and supply chain gaps identified by the Critical Materials Collaborative.

Topic Areas:

• Topic 1 – Use of Magnets with Reduced Critical Materials Content 
  • Topic 1a – Critical Material Lean/Free Magnets for Clean Energy Technologies: Projects will validate alternative magnet compositions that reduce or eliminate the use of critical materials by at least 25 wt.% 
  • Topic 1b – Motors and Drivetrains using Critical Material Lean/Free Magnets: Projects will prototype electric machines or drivetrains that use magnets that reduce or eliminate the use of critical materials by at least 25 wt.% 
• Topic 2 – Improved Unit Operations of Processing and Manufacturing of Critical Materials: Projects will make improvements to unit operations and/or processes to separate, refine/process critical materials for clean energy technologies that rely on critical materials.  
• Topic 3 – Critical Material Recovery from Scrap and Post-Consumer Products: Selectees will develop and validate approaches to recycle or recover critical materials from post-consumer products, including but not limited to, design for recycling and reuse and de-risking critical material recovery from waste and manufacturing scrap.  
• Topic 4 – Reduced Critical Material Demand for Clean Energy Technologies: Selectees will develop and validate materials, technologies, or processes that reduce or eliminate the use of critical materials for clean energy technologies.