§ Federal grant opportunity · PD-23-1406
Thermal Transport Processes (TTP)
U.S. National Science Foundation is accepting applications for Thermal Transport Processes (TTP). The deadline is Rolling / not published and the published award range is Award amount not published.
Key facts
- Funder
- U.S. National Science Foundation
- Application deadline
- Rolling / not published
- Award range
- Award amount not published
- Eligibility
- Eligibility criteria are published in the funding opportunity announcement.
- Geography
- United States
- Focus areas
- Research
- Opportunity number
- PD-23-1406
Program overview
The Thermal Transport Processes program is part of the Transport Phenomena cluster, which also includes 1) the Combustion and Fire Systems program; 2) the Fluid Dynamics program; and 3) the Particulate and Multiphase Processes program. The Thermal Transport Processes program supports engineering research projects that lay the foundation for new advances in thermal transport phenomena. These projects should either develop new fundamental knowledge or combine existing knowledge in thermodynamics, fluid mechanics, and heat and mass transfer to probe new areas of innovation in thermal transport processes. The program seeks transformative projects with the potential for improving basic understanding, predictability and application of thermal transport processes. Projects should articulate the contribution(s) to the fundamental knowledge supporting thermal transport processes and state clearly the potential application(s) impact when appropriate. Projects that combine analytical, experimental and numerical efforts, geared toward understanding, modeling and predicting thermal phenomena, are of great interest. Collaborative and interdisciplinary proposals for which the main contribution is in thermal transport fundamentals are also encouraged. Emphasis is placed on research that demonstrates how thermal transport phenomena affect the existence, behavior and dynamics of components and systems. Priority is given to insightful investigations of fundamental problems with clearly defined economic, environmental and societal impacts. Some specific areas of interest include: Convection/diffusion/radiation : Heat and mass transport in complex structures and surfaces; thermal-related turbulence; development of form-function relationships in thermal processes; thermal design methodology; phonon transport and interactions between energy carriers; radiation amplification, controlling, and extinction; interfacial gas-solid and liquid-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-equilibrium thermal processes. Biological heat and mass transport : Biomimicry; intra- and extra-cellular heat and mass transport; freeze resistance mechanisms; thermotherapy and thermoregulation; organ conservation (freezing and thawing); mass transport in biomedical and health systems. Nanothermics, microthermics, and mesothermics : Scaling up nanoscale heat transport processes or coupled heat-mass transport processes; utilization of new multi-functional, meta- and graded-materials in thermal transport; nano-texturing and phase-change; multi-scale thermal transport in a process. T hermal 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)/machine learning methodologies in thermal sciences : Advanced thermal imaging and measurement techniques for high-resolution in situ thermal 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. NOTE: Proposals including chemical kinetics should be submitte
How to apply
- Confirm your organization meets the eligibility criteria above.
- Read the full funding opportunity announcement from U.S. National Science Foundation.
- Draft your narrative against the funder's stated priorities and review criteria.
- Submit before Rolling / not published, allowing time for registration and validation.
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