- Convection/diffusion/radiation: Heat and mass transport incomplex structures and surfaces;thermal-related turbulence; development of form-functionrelationships in thermal processes; thermal design methodology; phonon transport and interactions between energy carriers; radiationamplification, controlling, and extinction; interfacial gas-solid andliquid-solid thermal and species-driven phenomena.
- Thermodynamics: Thermal-electric energy conversion; battery-related thermal issues; power generation and propulsion; phase-change and supercritical energy cycles;non-equilibriumthermal processes.
- Biologicalheatand mass transport: Biomimicry;intra- andextra-cellular heat and mass transport; freeze resistancemechanisms;thermotherapy and thermoregulation; organ conservation(freezing and thawing); mass transport in biomedical and health systems.
- Nanothermics,microthermics,and mesothermics: Scaling upnanoscale heat transport processes or coupledheat-mass transport processes; utilization ofnew multi-functional, meta- and graded-materials in thermal transport;nano-texturingand phase-change; multi-scale thermal transport in aprocess.
- Thermal solutions to climate change: Decarbonizing industrial processes; novel heating and cooling technologies with minimal greenhouse gas emissions; thermal-driven clean energy concepts; thermal and thermochemical energy storage; waste heat recovery and transmission; thermal science and technology to enable electrification of energy services.
- Thermal science and quantum technology interface: Quantum sensors for thermal measurements;quantum computing for thermal sciences;thermodynamics and novel cryogenic cooling concepts for quantum devices;thermal transport in quantum materials and quantum phenomena; thermal solutions for next-generation qubits, qubit coupling, and quantum information storage.
- New metrology and artificial intelligence (AI)/machinelearning methodologies in thermal sciences: Advanced thermal imagingand measurement techniques for high-resolutionin situthermal imaging and non-invasive temperature measurement; novel AI/machine learning methodologies and other data-intensive approaches that can be coupled with physics-based models and/or experiments to enable new understanding and discoveries in thermal transport processes.
Thermal Transport Processes
U.S. National Science Foundation · Opportunity number PD-23-1406
Details summarized from the official notice as of Jun 28, 2026. Always confirm eligibility, deadlines and requirements in the official notice before applying.
Independent platform. Not affiliated with or endorsed by any government agency. Data from public federal sources.
Key facts
| Opportunity number | PD-23-1406 |
|---|---|
| Agency | U.S. National Science Foundation |
| Assistance listing (ALN, formerly CFDA) | 47.041 |
| Posted | Apr 5, 2023 |
| Deadline | Not listed |
| Estimated total program funding | $7,047,000 |
| Cost sharing or matching required | No |
| Funding type | Grant |
| Category | Science technology and other research and development |
| Last updated here | Jun 28, 2026 |
Summary from the notice
Who can apply
The official notice lists these applicant types as eligible:
- Unrestricted (open to any type of entity, check the notice)
Registrations you will likely need
Most applications submitted through Grants.gov need the following. Registration can take several weeks, so start early. The notice lists the exact requirements.
- SAM.gov registration for your organization, which also gives you a Unique Entity ID (UEI). Registration is free.
- A Login.gov account, which Grants.gov uses for sign-in.
- A Grants.gov applicant registration linked to your organization's UEI.
Past awards for this program
Totals for assistance listing 47.041 from public USASpending.gov data, as of Sep 23, 2026. Past awards do not predict future funding.
| Year | Listing | Awards | Total | Average |
|---|---|---|---|---|
| 2026 | 47.041 | 12 | $310,155,075 | $25,846,256 |
| 2025 | 47.041 | 9 | $299,293,916 | $33,254,880 |
| 2024 | 47.041 | 10 | $353,419,878 | $35,341,988 |
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