Completed

Institutionally Coordinated by NCAE-C Points of Contact // Limit: Each designation (NCAE-CD, NCAE-R, NCAE-CO) may submit one proposal per initiative. Please reach out to the point of contact for the designation you wish to submit a proposal on behalf of to proceed. 

No Applicants // Limit: 1 (Lead Institution) // Tickets Available: 1

Limiting Language
An applicant may submit only one application in response to this NOFO.  

Applications under which two or more entities (project partners) would carry out the federal award will be considered. However, only one entity may be the applicant for the NOFO; any others must be proposed as subrecipients. See the Application Resource Guide for additional information on subawards. 

An entity may be proposed as a subrecipient in more than one application. 

Executive Summary 
This NOFO will support Second Chance Act grantees, with a particular focus on Smart Reentry program grantees, to assess community reentry strategies and implement or expand interventions to address identified gaps in technical areas to reduce recidivism and improve public safety, including technology adoption and expansion to enhance reentry strategies, and  statistical analysis support to inform and achieve identified objectives. 

OJP is committed to advancing work that furthers DOJ’s mission to uphold the rule of law, to keep our country safe, and to protect civil rights. OJP provides federal leadership, funding, and other critical resources to directly support law enforcement, combat violent crime, protect American children, provide services to American crime victims, and address public safety challenges, including human trafficking and the opioid crisis. 

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 – Y. Song (Hydrology and Atmospheric Sciences)
Focus Area F: Connections for Isolation (BES) - OPEN 
Focus Area G: Biological Pathways to CMM (BER) - OPEN

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
irradiation data - OPEN
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
using AI - OPEN
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
Industry - OPEN

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) - OPEN
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 (Ecology & Evolutionary Biology)
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)

Limiting Language
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. 

Executive Summary 
The DOE Office of Science (SC), Office of Critical Minerals and Energy Innovation (CMEI), Office of Environmental Management (EM), Office of Nuclear Energy (NE), Office of Electricity (OE), and Hydrocarbons and Geothermal Office (HGEO) hereby announce interest in receiving applications from interdisciplinary teams addressing the Genesis Mission National Science and Technology Challenges to accelerate scientific discovery and research and development (R&D) workflows using novel artificial intelligence (AI) models and frameworks. By achieving AI advantage, these teams will advance the DOE's mission and ensure America’s security and prosperity by addressing energy, environmental, and nuclear challenges through science and technology. Teams are encouraged to leverage the extensive scientific and data resources of the DOE/National Nuclear Security Administration (NNSA), the National Laboratories, U.S. industry, and academia. The resulting AI models and workflows, if successful, may be integrated into the American Science Cloud. 

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.

No Applicants // Limit: 1 (Topic Area 2) // Tickets Available: 1

Limiting Language
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.

Topic Area 2 Overview
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

The submission for this funding program is coordinated by the Center for Semiconductor Manufacturing. Please contact Dan Moseke, Projects Director, for more information.

K. Muralidharan (Center for Semiconductor Manufacturing)

Limiting Language
Institutes should limit their submissions to no more than 2 proposals for each degree cohort.

Overview
Intel Corporation, in collaboration with Semiconductor Research Corporation (SRC), invites universities located in Ohio, Oregon, Arizona, and New Mexico to submit proposals for participation in the Intel Scholarship & Fellowship Program. This program is designed to build a pipeline of highly skilled professionals with advanced degrees in semiconductor-related disciplines in regions where Intel has significant operations. The initiative will provide funding to support scholarships and fellowships for eligible MS and PhD students. A key desired outcome is to increase retention and degree attainment in advanced degrees in engineering and STEM disciplines of interest to the semiconductor industry.   Selected institutions will collaborate with SRC and Intel personnel to recruit, mentor, and support students in critical academic disciplines, preparing them for careers in semiconductor innovation 

No Applicants // Limit: 1 // Tickets Available: 1

Limiting Language
An organization may submit only one application under this program solicitation. You may apply to other NEA funding opportunities, such as Grants for Arts Projects, in addition to this program solicitation. In each case, the request must be for a distinctly different project. No project costs or staff time may overlap with activities and/or costs included as part of other federal awards. 

Executive Summary
The purpose of this Program Solicitation is to select an organization (“Cooperator”) to support the National Endowment for the Arts (NEA) with the 2027 NEA Jazz Masters Tribute Concert and related events. The Cooperator is expected to coordinate a range of activities, including a live concert, webcast, video tributes, and other associated activities. 

This award will be made as a cooperative agreement. A cooperative agreement is a funding mechanism in which the federal agency (NEA) maintains substantial involvement in carrying out the supported project in partnership with the award recipient (known as a Cooperator).  

Eligible applicants include nonprofit, tax-exempt 501(c)(3), U.S. organizations; units of state or local government; federally-recognized tribal communities or tribes; and the six Regional Arts Organizations (RAOs).  

Institutionally Coordinated // Limit: 1 

Limiting Language
Only one application per institution (identified by NIH IPF number) is allowed.

Purpose
This Notice of Funding Opportunity (NOFO) solicits applications to develop shared-use research facilities or research-supporting facilities that enable collaborative research and benefit broad research communities at large. The NOFO supports two existing construction programs: the Biomedical Research Facilities (BRF) program and the HIV/AIDS Research Facilities (HRF) program.

The BRF program supports the construction or modernization of biomedical research facilities that advance basic, translational, clinical, or behavioral science research in all areas. Intended facilities include shared research spaces, core facilities, biorepositories, or other shared-use resource facilities that serve a broad scientific community with a significant, long-term impact on biomedical research.

The HRF program funds the development of HIV/AIDS research or research-supporting resources that the empowered research activities must align with the NIH Office of AIDS Research (OAR) priorities, as outlined at OAR HIV/AIDS Research Priorities, including research focusing on the long-term health consequences of HIV infection.

NIH encourages applications from institutions across all geographic regions of the country, including Institutions of Emerging Excellence (IEE) in biomedical research, to strengthen the nation’s research capacity.

Limit: 1 // Tickets Available: 0

M. Corty (Neuroscience)

Limiting Language
Institutions may submit one proposal per session. Interested candidates should work through their sponsored projects office.

Grant Guidelines
The mission of the Foundation is to support early stage investigators engaged in basic biomedical research that has the potential to significantly advance the understanding, diagnosis or treatment of disease.

The funds are designed to provide to tenure track faculty members in their first to fourth year, at American Institutions, who hold M.D. and/or Ph.D. degrees, start-up support to move the project forward to the point where R01 or other independent funding can be obtained.  Applicants with current R01 or similar funding should not apply.  

Limit: 2* // Tickets Available: 0

Z. Guido (Arizona Institute for Resilience)
G. Barron-Gafford (School of Geography Development and Environment)

Limiting Language
Applicants may submit up to two (2) applications as the Management Entity (ME).

Note: Coordination with other eligible applicants and use of a consortia approach is acceptable. In addition to applying as a Management Entity, an organization may partner as a sub awardee under other eligible applications.

Executive Summary
America First investments in agricultural research through the FtF Innovation Labs benefit the world’s poorest regions while also providing major benefits to the United States. The Department of State invites eligible applicants to advance global food security in alignment with U.S. policy through targeted research that meets one or both of the following core objectives:

1. Advances agricultural science and research to increase productivity, mitigate threats to production systems, and support food systems to reduce hunger and malnutrition through enhanced supply of nutritious and safe foods; and/or
2. Increases demand for individual and household consumption of nutritious, safe foods as part of healthy diets, and improves market pathways and opportunities for government and private sector actors to promote consumption of nutritious and safe foods.

The Management Entity of each respective FtF Innovation Lab is expected to help implement and communicate impact pathways from research to development outcomes via partnerships with other USG programs, national partners, private companies, community-based organizations, such as faith-based organizations, and other donors and their programs. Programs must ensure U.S. investments directly benefit American safety, strength, and prosperity. Proposals should clearly address how the research activities will support both global food security and U.S. national security and economic interests, reduce the need for repeated humanitarian assistance, expand market access for U.S. companies, and protect the U.S agriculture industry.