Optimize Operations Through Digitalization and Smart Test Sites (unnamed program)

Optimize Operations Through Digitalization and Smart Test Sites (unnamed program) is sponsored by U.S. Department of Energy (DOE). This funding opportunity accelerates the adoption of digital technologies, smart facility concepts, and advanced analytics to improve operational efficiency, safety, and reliability within the upstream and midstream oil and natural gas sector.

United States Department of Energy (DOE) | Research and Partnerships United States Department of Energy (DOE) Department of Energy Critical Minerals and Materials Accelerator - All Topic Areas Limit: 5* // Tickets Available: 2 S. Ndlovu (Topic Area 1, Subtopic 1C) Your LOI must be submitted to the Department of Energy before you submit it to the internal competition.

Please use the correct legal name "Arizona Board of Regents, University of Arizona" when submitting your LOI. There is no limit to the number of Letters of Intent that can be submitted. (from Q&A spreadsheet) .

Please ensure all letters of intent from a single lead organization use the same lead organization name - please use " Arizona Board of Regents, University of Arizona". The University of Arizona may submit five proposals. One in Topic Area 1 (all subtopics), one in Topic Area 2, and one for each of the Topic Area 3 Subtopics (3A, 3B, and 3C).

This limitation does not prohibit an applicant from collaborating on other applications (e.g., as a potential subrecipient or partner) so long as the entity is only listed as the applicant on one application for each topic area/subtopic area of this NOFO. Full sponsor guidelines are linked here.

The Critical Minerals and Materials (CMM) Accelerator program is an initiative from the U.S. Department of Energy to strengthen domestic CMM supply chains.

This Notice of Funding Opportunity (NOFO), issued by the Advanced Materials and Manufacturing Technologies Office (AMMTO) and the Office of Geothermal (OG), provides up to $69 million to directly address the national imperative to secure a reliable, predictable, and affordable domestic supply of CMMs which are foundational to U.S. energy dominance, national security, and industrial competitiveness.

The CMM Accelerator program targets innovative CMM production technologies that have demonstrated promising results at the bench scale (Technology Readiness Level 3-4) but require further development to achieve commercial viability. A significant challenge lies in advancing these laboratory-scale innovations beyond the "valley of death" to industrially relevant scales.

This NOFO is designed to overcome this barrier by funding collaborative industry partnerships for prototyping and small-scale piloting of these critical processes and materials. Over a decade of DOE funding has laid the groundwork, and this program builds upon that to validate technologies and establish the confidence needed for substantial follow-on investment.

The primary goals are to foster industry partnerships, validate technologies for material optimization and cost-competitive production, enable informed decisions through rigorous analysis, and accelerate domestic CMM manufacturing capabilities.

The NOFO includes three key Topic Areas: (1) recovery and production of critical materials from secondary sources such as post-industrial scrap and e-waste; (2) processes to refine and alloy gallium, gallium nitride, germanium, and silicon carbide for semiconductor applications; and (3) technologies for cost competitive direct lithium extraction, separation, and processing.

Projects are expected to mature technologies to Technology Readiness Levels 6 (TRL 6), demonstrating economic viability, material efficiency, and reduced reliance on external CMM sources.

Projects must also significantly reduce adoption readiness risks, meaning they should address non-technical barriers such as market acceptance, resource availability, supply chain integration, cost effectiveness, and regulatory hurdles to ensure these technologies can be successfully integrated and utilized commercially. The target audience for this NOFO includes a broad range of domestic entities.

Eligible applicants are defined below in section II. A. This NOFO intends to fund a collaborative approach to harness the full spectrum of innovation.

Awarded Phase 1 projects will also be eligible to compete for a distinct Phase 2 pilot-scale project through a down-select process, furthering the program's commitment to delivering technologies ready for real-world deployment and impact. Physical Sciences & Engineering 5/29/2026 (TA1); 6/25/2026 (TA2); 7/23/2026 (TAs 3A, 3B, and 3C) https://azcultivate. arizona.

edu/#freeformCompetitionDetail/2012980 United States Department of Energy (DOE) Fiscal Year 2026 University Nuclear Research Infrastructure Revitalization No Applicants // Limit: 1 // Tickets Available: 1 A prime applicant entity may submit only one application to this NOFO. If an entity submits more than one full application the DOE will only review the last submission.

This limitation does not prohibit an applicant from collaborating on other applications (e.g., as a potential subrecipient or partner) so long as the entity is listed as the prime applicant on only one application submitted under this NOFO. The intent of this NOFO is to award approximately one (1) grant, for up to four (4) years, to a consortium consisting of universities, national labs, industry partners and/or other stakeholders.

The consortia must be university led. The consortia project shall establish and/or enhance nuclear research capabilities at U.S. universities and colleges, especially in support of: nuclear cyber-physical protection; new digital technologies in advanced nuclear reactors; and the development and safety assessments of small modular reactors.

The proposed effort must strengthen and revitalize the academic community’s nuclear energy infrastructure, which could include enhancements of existing infrastructure or creation of new capabilities. In addition, the proposed effort must enhance regional or national impacts of the investment. This NOFO does not provide any funds for the planning and construction of new university nuclear reactors.

Projects proposed under the University Nuclear Research Infrastructure Revitalization NOFO are intended to: Revitalize the U.S. capacity for university-led nuclear R&D by establishing and/or improving infrastructure to align with the advanced reactor technologies being deployed by the U.S. nuclear industry; Support innovative combinations of facilities, equipment, and related capabilities to maximize the value of investments toward R&D; and Emphasize support for rapid, lower-cost approaches that can enable advanced-reactor-relevant R&D, education and workforce development prior to any universities establishing advanced research reactors; and involve consortia to maximize participation.

Requests should focus on a goal or capability that significantly adds to the current U.S. capacity to support advanced reactor R&D, education, and workforce development. Applicants must clearly demonstrate the connection among requested pieces of equipment or other project elements toward a key objective or outcome. Physical Sciences & Engineering https://www.

grants. gov/search-results-detail/361622 United States Department of Energy (DOE) The Genesis Mission: Transforming Science and Energy with AI (DE-FOA-0003612) Ticket Request Deadline - The deadline to request a ticket for this funding opportunity was 5:00PM Monday, April 6. No additional tickets will be issued.

Limit: 1 Phase I or Phase II Application per Focus Area (99 total) - Each PI may only submit one proposal but can be senior/key personel on an unlimited number of proposals Topic Area 1: Reenvisioning Advanced Manufacturing and Industrial Productivity // Limit: 6 // Tickets Available: 3 Focus Area A - Agentic AI-Driven Chemical Manufacturing (BES) - OPEN Focus Area B - AI-Driven Materials Processing (BES) - H.

Kim (Civil and Architectural Engineering and Mechanics) Focus Area C - AI-Enabled Manufacturing for Extreme Energy Systems (FES) - OPEN Focus Area D : Digitalization of Industrial Processes (ITO) – M. Shafae (Systems and Industrial Engineering) Focus Area E: AI-Enabled Smart Manufacturing (AMMTO) - P.

Satam (Systems and Industrial Engineering) Focus Area F: Energy Material Manufacturing (AFFO) - OPEN Topic Area 2: Scaling the Biotechnology Revolution // Limit: 5 // Tickets Available: 2 Focus Area A: Biomolecular Science (BER) – T. Wheeler (Pharmacy Practice and Science) Focus Area B: Genotype to Phenotype (BER) L.

Meredith (School of Natural Resources and the Environment Focus Area C: Predictive Engineering of Microbial Communities (BER) – M.

Tfaily (Environmental Sciences) Focus Area D: Bio Design (BER) - OPEN Focus Area E: AI-Enabled Biological Reaction Engineering, Bioreactor Design, Process Scale-up and Integration (AFFO) - OPEN Topic Area 3: Securing America’s Critical Minerals Supply // Limit: 7 // Tickets Available: 3 Focus Area A: Resource Mapping and Development (AMMPTO) – J. G.

Duan (Civil and Architectural Engineering and Mechanics) Focus Area B: AI-Enabled Materials Discovery and Engineering (AMMTO) – J. L. Bredas (Chemistry and Biochemistry) Focus Area C: Economic Modeling and Market Analysis (ASO) - OPEN Focus Area D: Extraction and Processing Technologies (AMMPTO, AMMTO) - N.

Risso (Mining Engineering and Mineral Resources) Focus Area E: Geological Finder/Keepers – OPEN Focus Area F: Connections for Isolation (BES) - OPEN Focus Area G: Biological Pathways to CMM (BER) - Y.

Song (Hydrology and Atmospheric Sciences) Topic Area 4: Delivering Nuclear Energy that is Faster, Safer, Cheaper // Limit: 8 // Tickets Available: 8 Focus Area A - Accelerated Nuclear Power Plant Design and Licensing: Create an automated process to enable rapid design, including safe and secure autonomous monitoring and control of plant operations, licensing considerations, and rapid deployment of advanced nuclear technologies using AI - OPEN Focus Area B - Autonomous Power Plant Operations: Develop AI digital twin systems that interpret plant operational data in real time, detect anomalies, and recommend preemptive actions to maintain safety and operational performance - OPEN Focus Area C: AI-Assisted Manufacturing and Construction: Support site selection, born certified manufacturing, construction, supply chain reliability, and factory modular production methods with AI technologies - OPEN Focus Area D: Autonomous Research and Development: Condense nuclear material research and qualification timeframes using AI-driven pipelines for modeling, characterization, evaluation, and qualification, while integrating decades of global historical Focus Area E: Accelerated Fuel Cycle Facility Design and Licensing to Secure the Domestic Fuel Supply: Create automated processes to enable rapid design, licensing considerations, and accelerated deployment of advanced fuel cycle technologies Focus Area F: AI-Assisted Site Characterization: Accelerate waste disposition site characterization through AI Modeling - OPEN Focus Area G: AI-Assisted End Disposition Design: Concept Design for Disposal of Used Nuclear Fuel and Reprocessed Fuel Waste Streams - OPEN Focus Area H: Development, Utilization and/or Adoption of AI and ML Tools to Support the Efficient Review, Classification and Release of Legacy Documents to the Nuclear Topic Area 5: Accelerating Delivery of Fusion Energy // Limit: 7 // Tickets Available: 5 Focus Area A: Structural Materials (FES) - OPEN Focus Area B: Plasma-Facing Materials (FES) - OPEN Focus Area C: Advancing Confinement Approaches – C.

Chan (Steward Observatory and Department of Astronomy) Focus Area C: Advancing Confinement Approaches (FES) - OPEN Focus Area D: Fuel Cycle and Tritium Processing (FES, NE) - OPEN Focus Area E: Tritium Breeding Blankets (FES, NE) - OPEN Focus Area F: Fusion Plant Engineering and System Integration – D.

Ebert (Electrical and Computer Engineering) Focus Area G: Plasma Science and Technology (FES) - OPEN Topic Area 6: Transforming Nuclear Restoration and Revitalization // Limit: 3 // Tickets Available: 3 Focus Area A: EM AI R&D Roadmap Implementation (EM-3. 2, ASCR, LM) - OPEN Focus Area B: Scale-Bridging AI Foundation Model (EM-3. 2, ASCR) - OPEN Focus Area C: Treatment Process Optimization (EM-3.

2, ASCR) - OPEN Topic Area 7: Discovering Quantum Algorithms with AI // Limit: 5 // Tickets Available: 3 Focus Area A: Application-aware Error Correction (ASCR) - OPEN Focus Area B: Computational Tools for Fault Tolerant Quantum Computational Science (ASCR) - OPEN Focus Area C: Hybrid Quantum-Classical Optimization Algorithms (BES) - J.

Chen (Electrical and Computer Engineering) Focus Area D: Quantum Algorithms for Nonlinear Plasma Physics (FES) - OPEN Focus Area E: Quantum Advantage for Nuclear and Hadronic Systems (NP, HEP) – P.

Siwach (Physics) Topic Area 8: Realizing Quantum Systems for Discovery // Limit: 4 // Tickets Available: 2 Focus Area A: AI for Quantum Systems Design - OPEN Focus Area B: AI for Control of Quantum System (HEP, NP) - OPEN Focus Area C: AI for Quantum Imaging and Sensing (HEP, NP) – D. Soh (Wyant College of Optical Sciences) Focus Area D: AI for Quantum Computing and Networking (ASCR) – N.

Rengaswamy (Electrical and Computer Engineering) Topic Area 9: Recentering Microelectronics in America // Limit: 10 // Tickets Available 4 Focus Area A: Angstrom (sub-1-nm) Scale Microelectronics Manufacturing (AMMTO) - OPEN Focus Area B: Materials and Architectures for Non-von Neuman Computing Devices (BES) – X. Yan (Materials Science and Engineering) Focus Area C: AI-Driven Architecture Design (ASCR) – J.

Dass (Electrical and Computer Engineering) Focus Area D: 3D Non-Volatile Compute-In-Memory Technology (ASCR) – S. Salehi (Electrical and Computer Engineering) Focus Area E: Physics-Based Circuit Design, Simulation, and Emulation (ASCR) – H. Yang (Electrical and Computer Engineering) Focus Area F: Microelectronics in Harsh Environments (HEP) - J.

Roveda (Electrical and Computer Engineering) Focus Area G: Plasma-Enabled Microelectronics Manufacturing (FES) -OPEN Focus Area H: Power Electronics and Communication Networks (ASCR) - OPEN Focus Area I: Low-temperature Electronics for Sensors and Computation (ASCR, HEP) – M.

Hassan (Physics) Focus Area J: Transform Neuromorphic Computing Connectivity, Communication, and System Hardware Integration (ASCR) - OPEN Topic Area 10: Securing U.S. Leadership in Data Centers // Limit: 2 // Tickets Available: 2 Focus Area A: Data Center Load Flexibility (ITO) - OPEN Focus Area B: Data Center Thermal Management (ITO) - OPEN Topic Area 11: Achieving AI-Driven Autonomous Laboratories // Limit: 5 // Tickets Available: 2 Focus Area A: Advanced Robotics for Dynamic Laboratory Environments (ASCR) - S.

He (Electrical and Computer Engineering) Focus Area B: AIOps - AI for Network Operations (ASCR) - OPEN Focus Area C: AI-Accelerated Science: Correlation to Understanding (BES) - A. Black (Information Science) Focus Area D: AI-Enabled Diagnostics and Remote Handling (FES) - B.

Liu (Electrical and Computer Engineering) Focus Area E: Accelerate the design and prototyping of neuromorphic computing circuit primitives for robotic embodied physical artificial intelligence (ASCR) - OPEN Topic Area 12: Designing Materials with Predictable Functionality // Limit: 7 // Tickets Available: 4 Focus Area A: Functional to Quantum Materials (BES) - OPEN Focus Area B: Structural Materials (BES, FES, AMMTO) - M.

Latypov (Materials Science and Engineering) Focus Area C: Biomolecular Materials (BES) - OPEN Focus Area D: Plasma-Facing Materials (FES) - OPEN Focus Area E: Targetry by Design (IRP) - The RFA was updated to remove this topic/focus area on 4/10/2026/. Focus Area F: AI-Enabled Materials Discovery, Development, and Qualification (AMMTO) - M.

Beidaghi (Aerospace and Mechanical Engineering) Focus Area G: Electrochemical Energy Conversion Catalyst Discovery and Scale up (AFFO) - Z.

Yan (Chemistry and Biochemistry) Topic Area 13: Enhancing Particle Accelerators for Discovery // Limit: 2 // Tickets Available: 2 Focus Area A: AI-driven Accelerator Facilities (BES, HEP, IRP, NP) - OPEN Focus Area B: Integration of Digital Twins for Fusion Systems and Actuators (FES) - OPEN Topic Area 14: Unifying Physics from Quarks to the Cosmos // Limit: 3 // Tickets Available: 1 Focus Area A: Foundation Models of Particle Interactions and Cosmic Physics – S.

Pandey (Astronomy and Steward Observatory) Focus Area B: AI Accelerated DUNE Science (HEP) - OPEN Focus Area C: Expedited Discovery from High Complexity and Petabyte-Scale Datasets (HEP, NP) - T. Eifler (Astronomy and Steward Observatory) Topic Area 15: Predicting U.S. Water for Energy // Limit: 3 // Tickets Available: 1 Focus Area A: Cloud Microphysics and Atmospheric Turbulence – X.

Dong (Hydrology and Atmospheric Sciences) Focus Area B: Water and Energy (BER) - A. Bennett (Hydrology and Atmospheric Sciences) Focus Area C: Weeks to Years Prediction (BER) - OPEN Topic Area 16: Scaling the Grid to Power the American Economy // Limit: 3 // Tickets Available: 1 Focus Area A: Grid Modeling and Analysis (OE, CMEI-IESO, SC-ASCR) – M.

Chertkov (Mathematics) Focus Area B: Grid Operations Optimization (OE, CMEI-IESO, SC-ASCR) - OPEN Focus Area C: Uncertainty Quantification (SC-BER, SC-ASCR, OE, CMEI-IESO) – R. Tandon (Electrical and Computer Engineering) Topic Area 17: Unleashing Subsurface Strategic Energy Assets // Limit: 3 // Tickets Available: 2 Focus Area A: Chemical and Hydrologic Transport in Subsurface – S.

Saleska (Biosphere 2) Focus Area B: Evolution of Fractures in the Upper Crust (BES) - OPEN Focus Area C: Control of Subsurface Fractures (HGEO) - OPEN Topic Area 18: HPC Code Curation, Translation, and Development for Accelerated Scientific Discoveries // Limit: 7 // Tickets Available: 7 Focus Area A: AI-Driven Code Porting and Optimization (ASCR) - OPEN Focus Area B: Automated Scientific Problem-to-Code Generation (ASCR) - OPEN Focus Area C: Neuro-Symbolic Agents for Code Development (ASCR) - OPEN Focus Area D: Performance Prediction and Feedback Loops (ASCR) - OPEN Focus Area E: Trustworthy AI for Scientific Software (ASCR) - OPEN Focus Area F: Multi-Modal Data Integration for Code Intelligence (ASCR) - OPEN Focus Area G: Partnerships for HPC AI Advancement (ASCR, AMMTO) - OPEN Topic Area 19: AI for Scientific Reasoning // Limit: 3 // Tickets Available: 1 Focus Area A: Trustworthy Mathematical and Symbolic Reasoning (ASCR) – E.

Blanco (Computer Science) Focus Area B: Hypothesis Generation from Multi-Modal Data (ASCR) - A. Zabludoff (Astronomy and Steward Observatory) Focus Area C: Composable and Modular Foundation Models (ASCR) - OPEN Topic Area 20: Cybersecurity for AI-Driven Science Workflows // Limit: 3 // Tickets Available: 0 Focus Area A: AI for Adversarial Robustness and Resilience– M.

Krunz (Electrical and Computer Engineering) Focus Area B: Data Provenance and Integrity Verification (ASCR) – D. Alharthi (College of Information Science) Focus Area C: Real-Time Attack Detection and Mitigation for AI Models (ASCR) – M.

Li (Electrical and Computer Engineering) Topic Area 21: Artificial Intelligence in Fluid Flow for Energy Components and Technologies // Limit: 3 // Tickets Available: 1 Focus Area A: Physics-Informed AI for Complex Flow Modeling – K.

Kratter (Astronomy and Steward Observatory) Focus Area B: AI-Driven Design and Control for Performance and Durability (IESO, ASCR) - OPEN Focus Area C: Data-Driven Operational Intelligence and System Resilience (IESO) – L. Zhang (Civil and Architectural Engineering and Mechanics) Applicant institutions are limited to no more than one application as the lead institution per focus area for Phase I and Phase II applications combined.

Phase II applications must list a primary focus area but will have the option to list secondary focus areas. The primary focus area will be used for determining limitations on institutional submissions. There is no limitation to the number of applications for which the institution is not the lead in a multi-institution team using collaborative applications.

The PI on an application may also be listed as a senior or key personnel on an unlimited number of separate submissions but can be the lead PI on only one application . However, the PI on an awarded Phase I award may submit a Phase II proposal as part of the FY27 go/no-go decision process. The full RFA is linked here.

DOE is soliciting new FY26 Phase I small team and Phase II large team applications in the following topic areas: advanced manufacturing, biotechnology, critical materials, nuclear fission, nuclear fusion, quantum information science, semiconductors and microelectronics, discovery science, and energy (see specific focus areas in Section III Program Descriptions).

In addition, this RFA will remain available to allow the recipients of FY26 Phase I awards to apply for larger team Phase II awards. In a few weeks, DOE plans to amend the RFA to clarify the LOI and application guidelines for FY26 Phase II awards.

In FY27, DOE plans to amend the RFA or to issue an alternative funding opportunity to update the topic and focus areas to allow a second competition of Phase I small team applications and Phase II large team applications. Additional applications for Phase I and Phase II may be submitted after the corresponding deadline listed on the cover of this RFA, however, DOE reserves the right to decline such applications without review.

Biomedical, Clinical & Life Sciences Physical Sciences & Engineering Updated in Amendment 3: 5/1/2026 (Phase I Applications); 5/1/2026 (Phase II LOI); 5/19/2026 (Phase II Applications); 12/17/2026 (Phase II Applications resulting fom Phase I Awards) https://www. grants.

gov/search-results-detail/361526 United States Department of Energy (DOE) No Applicants // Limit: 1 (Topic Area 2) // Tickets Available: 1 An entity may submit only one concept paper and one associated application for each topic area of this NOFO. If an entity submits more than one, we will only review the last timely submission. Any other submissions listing the same entity as the applicant for the same topic area will not be eligible.

This limitation does not prohibit an entity from collaborating on other applications (e.g., as a potential subrecipient or partner) so long as the entity is only listed as the applicant on one concept paper and one associated application for each topic area of this NOFO. The Smart Grid Topic Area aims to support projects focused on deploying advanced grid technologies.

This initiative is looking for innovative application of cutting-edge, marketready technologies, which may include new devices, materials, engineering designs, or software tools. These projects are intended to strengthen grid reliability and resilience through reconductoring and deploying other Advanced Transmission Technologies.

Projects will expand the transfer capability of existing transmission and sub-transmission lines, improve system flexibility, and reduce the likelihood and consequences of disruptive events. This topic supports projects that enhance the efficiency, reliability, and operational flexibility of the electric grid through smart grid technologies that enable real-time monitoring, control, and optimization of grid assets.

DOE will focus primarily on projects that combine Advanced Transmission Technologies and reconductoring to achieve measurable increases in transfer capability and operational intelligence.

Projects must demonstrate how digitalization, automation, and data-driven technologies improve existing transmission and sub-transmission systems while delivering measurable affordability benefits to ratepayers through reduced congestion costs, deferred capital investment, and improved efficiency of existing assets.

Projects should provide quantifiable improvements in grid performance, situational awareness, and resilience through modernization and smart control.

DOE seeks applications for smart grids, specifically those designed to support new load integration, that: Integrate ATTs or reconductoring in ways that enable dynamic operations and increase transfer capability on existing rights-of-way Deploy advanced conductors and smart grid technologies that improve operational flexibility, reliability, and affordability Enhance data visibility and control through communications, automation, and analytics that directly support improved reliability Provide replicable approaches for regional scale-up and commercialization of combined ATTs and reconductoring deployments Support integration of backup generation enabling solutions (e.g., controls, telemetry, coordination) tailored for large load integration with mechanisms for grid-support services Physical Sciences & Engineering 4/2/2026 (Concept Paper); 5/20/2026 (Application) https://www.

grants. gov/search-results-detail/361477 United States Department of Energy (DOE) ENERGYWERX: iCRS-D - i2X Interconnection Cost Reduction Solutions for Distribution Program No Applicants // Limit: 1 // Tickets Available: 1 Yes, each lead organization can submit only one application.

ENERGYWERX, through a Partnership Intermediary Agreement (PIA) with the U.S. Department of Energy (DOE) Interconnection Innovation e-Xchange (i2X) program, is looking to fund pilot tests of innovative interconnection solutions under the Interconnection Cost Reduction Solutions for Distribution (iCRS-D) program.

This program will help address the National Energy Emergency by supporting innovations to streamline and expedite interconnection services by implementing cutting-edge technology solutions, such as grid enhancing technologies, grid-interactive loads, flexible interconnection, micro-grids, and many other innovations.

The iCRS-D program aims to reduce interconnection costs related to grid upgrades by 70% for generators, large loads, and hybrid facilities connecting to the distribution grids. To usher in a new era of American prosperity, we must ensure all Americans and domestic industries have access to affordable, reliable, and secure electricity.

United States electricity demand is growing at an extraordinary pace due to the rapid rise of large commercial and industrial loads (e.g., data centers) and electrification. The challenge is compounded as Americans face rising electricity prices across the country. The iCRS-D Program will provide $4 million to fund up to four organizations, each of which will lead a multi-stakeholder partnership at the local, state, or regional level.

Each partnership will execute a Lighthouse Project - a pilot program that develops and demonstrates new technologies and effective solutions - to increase data access and transparency, streamline and expedite interconnection services, and maximize economic efficiency.

Lead organizations, with their partners, will apply their distribution-level interconnection expertise to prioritize and adapt practical solutions for load and generation interconnection. These efforts will deliver tested approaches to scalable interconnection innovations that improve processes, reduce overall costs, and maintain a reliable grid. Physical Sciences & Engineering https://www.

energywerx. org/opportunities/interconnection-cost-reduction-solutions-for-distribution-… United States Department of Energy (DOE) Energy Frontier Research Centers (EFRCs) Institutionally Coordinated // Limit: 3 // Tickets Available: 0 D. Soh (Optical Sciences) S.

Ndlovu (Mining Engineering and Mineral Resources) Applicant institutions are limited to no more than three pre-applications or applications as the lead institution. An individual may not be named as the PI (EFRC Director) on more than one pre-application or application.

Directors of existing EFRC awards that do not have project end dates in 2026 cannot be named as the EFRC Director on any pre-application or application in response to this NOFO. There is no limitation to the number of applications on which an institution appears as a subrecipient.

Should DOE receive submissions in excess of the applicable limits, DOE reserves the right, in its sole discretion, to request additional or clarifying information to ascertain the institution’s intended submissions. Otherwise, DOE will consider the latest received submissions to be the institution’s intended submissions. • Pre-applications in excess of the limited number of submissions may be discouraged.

• Applications in excess of the limited number of submissions may be declined without review. The DOE SC program in Basic Energy Sciences (BES) announces a re-competition of the Energy Frontier Research Center (EFRC) program.

The purpose of this program is to bring together world-class teams of scientists from universities, DOE national laboratories, and other institutions to perform energy-relevant basic research with a scope and complexity beyond what is possible in single-investigator or small-group awards.

These multi-investigator, multi-disciplinary centers accelerate transformative scientific advances for the most challenging topics in materials sciences, chemical sciences, geosciences, and biosciences.

EFRCs integrate experiments, theory, computation, and AI/ML; develop innovative experimental and theoretical tools that illuminate fundamental processes in unprecedented detail; and create an enthusiastic, interdisciplinary, workforce of energy-focused scientists. Mathematics, Computational, & Data Sciences Physical Sciences & Engineering 4/1/2026 (Required Pre-Application); 7/1/2026 (Application) https://www. grants.

gov/search-results-detail/361309 United States Department of Energy (DOE) 2026 Scientific Infrastructure Support for Consolidated Innovative Nuclear Research (Topic Area 2) No Applicants // Limit: 1 // Tickets Available: 1 The University of Arizona is only eligible to submit to Topic Area 2: General Scientific Infrastructure (GSI) Topic Area 2: General Scientific Infrastructure (GSI) An eligible applicant may submit only one application to this topic area.

If an entity submits more than one full application, the DOE will only review the last submission. The Office of Nuclear Energy’s (NE) program purpose is to advance nuclear energy science and technology to meet U.S. energy, environmental and economic needs. NE enables innovation, supports unique research infrastructure, and solves crosscutting challenges facing the nuclear energy sector through research, development and demonstration.

NE has identified the following goals to address challenges in the nuclear energy sector, help realize the potential of advanced technology, and leverage the unique role of the government in spurring innovation: Enable continued operation of existing U.S. nuclear reactors. Enable deployment of advanced nuclear reactors. Develop advanced nuclear fuel cycles.

Maintain U.S. leadership in nuclear energy technology. Investing in the next generation of nuclear energy leaders and advancing university-led nuclear innovation is vital to fulfilling NE's mission, which is primarily accomplished through NE’s Nuclear Energy University Program (NEUP). NEUP was established in 2009 to consolidate NE’s university support and enable the integration of university research within NE’s technical programs.

Through various competitive award opportunities, the program engages with U.S. universities and colleges to conduct research and development (R&D), enhance infrastructure, and support student education, thereby contributing to the development of a world-class nuclear energy and workforce capability.

Expected Performance Goals: Topic Area 2: General Scientific Infrastructure (GSI) Procurement of equipment, software, instrumentation, and associated non-reactor upgrade requests that support nuclear energy-related R&D or education. Procurement of equipment and instrumentation for specialized facilities, classrooms, and teaching laboratories, and non-reactor NS&E research.

Procurement of infrastructure that supports the sharing and use of equipment and instrumentation by multiple campuses of a university, multiple universities, or with national laboratories is encouraged. Physical Sciences & Engineering https://www. grants.

gov/search-results-detail/361023 United States Department of Energy (DOE) The Circular Supply Chains Accelerator - DE-FOA-0003512 Request Ticket // Limit: 2* // Tickets Available: 2 Concept paper - Limit: 1 // Tickets Available: 1 Associated Application - Limit: 1 // Tickets Available: 0 H. Jin (Systems and Industrial Engineering) An entity may submit only one concept paper and one associated application to this NOFO.

The concept paper and application must address no more than one topic area identified in Key Facts section above. If an entity submits more than one concept paper the DOE will only review the last submission.

Thislimitation does not prohibit an applicant from collaborating on other applications (e.g., as a potential subrecipient or partner) so long as the entity is listed as the applicant on only one concept paper and one associated application submitted under this NOFO.

The Advanced Materials and Manufacturing Technologies Office (AMMTO) supports the development of a globally competitive U.S. energy industrial base that drives supply chain resiliency and energy security through materials and manufacturing innovation. The development of circular supply chains that enable efficient use of materials through reuse, repair, remanufacture, and recycling is important toward accomplishing these goals.

1,2 Efforts to achieve a robust and competitive manufacturing sector through innovation in circular supply chains cannot be successful without: (1) a comprehensive understanding of the landscape of technical and non-technical factors that could impact the adoption of emerging technologies and (2) strong connections across the circularity field to accelerate innovations from R&D- scale to commercial practice.

This NOFO seeks to establish a new accelerator which will address this need through the development of a comprehensive technical and market analysis portfolio and stakeholder engagement activities. The Accelerator’s analysis portfolio will establish a comprehensive understanding of both technical and non-technical factors impacting the adoption of emerging technologies for circular supply chains.

Technical factors of interest include the state of emerging technologies in terms of performance and cost metrics. Awareness of these technical factors requires strong understanding of the R&D landscape as well as the state of industrial practice. Non-technical factors of interest include market conditions, supply chain dynamics, policy and regulatory landscape, workforce readiness, infrastructure capabilities, among others.

These non- technical market factors may be region-specific and would be critical to inform a systems-level perspective of potential barriers and pathways to widespread commercial adoption. The Accelerator will leverage understanding of technical and non-technical factors to analyze market opportunity within specific product and material market segments.

This will identify specific early adopter markets and seq Physical Sciences & Engineering https://www. energy. gov/eere/ammto/funding-notice-circular-supply-chains-accelerator United States Department of Energy (DOE) Research in Basic Plasma Science and Engineering (DE-FOA-0003503) Limit: 2 // Tickets Available: 0