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The Manufacturing Systems Integration (MSI) Program supports fundamental research addressing the opportunities and challenges that digital technologies present for the next industrial revolution, with particular emphasis on the digital integration of design and manufacturing within the larger life cycle ecosystem. Manufacturing Systems Integration proposals should address underlying principles and advances that are generalizable for globally competitive and world leading industries. Connectivity, automation, and secure collaboration are examples of areas that are integral to digital environments capable of supporting the innovation, realization and sustainment of manufactured products and systems in the value creation process. Fundamental generalizable research for manufacturing systems integration might include, for example: Digital representation, protocols, and/or processes for integration and collaboration in manufacturing systems (machines and/or humans) Intelligent self-organizing production systems Ease of use, interoperability and seamless integration of technologies, machines, and humans Service-oriented architectures and systems Data sets that are compatible and usable across platforms Reliable and secure communications within and across the manufacturing value chain Integration of distributed manufacturing systems across time and space, including incorporating both legacy and leading-edge equipment and technologies Methods for assessing the impact and value of externalities throughout the life cycle within the digital environment Interdisciplinary, convergent pro...

TheParticulate and Multiphase Processesprogram is part of the Transport Phenomena cluster, which also includes 1) theCombustion and Fire Systemsprogram; 2) theFluid Dynamicsprogram; and 3) theThermal Transport Processesprogram. Thegoal of theParticulate and Multiphase Processesprogram is to support fundamental research on physico-chemical phenomena that govern particulate and multiphase systems, including flow of suspensions, drops and bubbles, granular and granular-fluid flows, behavior of micro- and nanostructured fluids, unique characteristics of active fluids, and self assembly/directed-assembly processes that involve particulates.The program encourages transformative research to improve our basic understanding of particulate and multiphase processes with emphasis on research that demonstrates how particle-scale phenomena affect the behavior and dynamics of larger-scale systems.Although proposed research should focus on fundamentals, a clear vision is required that anticipates how results could benefit important applications in advanced manufacturing, energy harvesting, transport in biological systems, biotechnology, or environmental sustainability.Collaborative and interdisciplinary proposals are encouraged, especially those that involve a combination of experiment with theory and/or modeling. Major research areas of interest in the program include: Multiphase flow phenomena:Dynamics ofparticle/bubble/droplet systems,behavior of structured fluids (colloids/ferro-fluids), granular flows, rheology of multiphase systems, unique characteristics of active fluids in novel ap...

The Interfacial Engineering program is part of the Chemical Process Systems cluster, which also includes: 1) the Catalysis program; 2) the Electrochemical Systems program; and 3) the Process Systems, Reaction Engineering, and Molecular Thermodynamics program. The goal of the Interfacial Engineering program is to support fundamental research on atomic- and molecular-scale interfacial phenomena and engineering of interfacial properties, processes, and materials. Fundamental understanding of the thermodynamic, kinetic, and transport properties of interfacial systems underpins improvements in chemical process efficiency and resource utilization. As such, proposed research should have a clear vision for how the results will translate to practice in or otherwise advance industrial chemical or biochemical processes. The program encourages proposals that present new approaches to long-standing challenges or address emerging research areas and technologies. Collaborative and interdisciplinary proposals are also encouraged, particularly those that involve a combination of experiment with theory or modeling. Major research areas of interest in the program include: Chemical separations: Design of scalable mass separating agents (for example, sorbents and membranes); field-induced separation processes that target a significant reduction in energy and/or materials requirements Biological separations: Downstream processing of biologically-derived chemicals, therapeutic proteins, and biologics for increased throughput and purity; engineering interfaces for molecular recognition Interfacial...

TheBiophotonicsprogram is part of the Engineering Biology and Health cluster, which also includes: 1) theBiosensingprogram; 2) theCellular and Biochemical Engineeringprogram; 3) theDisability and Rehabilitation Engineeringprogram; and 4) theEngineering of Biomedical Systemsprogram. The goal of theBiophotonicsprogram is to explore the research frontiers in photonics principles, engineering and technology that are relevant for critical problems in fields of medicine, biology and biotechnology. Fundamental engineering research and innovation in photonics is required to lay the foundations for new technologies beyond those that are mature and ready for application in medical diagnostics and therapies. Advances are needed in nanophotonics, optogenetics, contrast and targeting agents, ultra-thin probes, wide field imaging, and rapid biomarker screening. Low cost and minimally invasive medical diagnostics and therapies are key motivating application goals. Research topics in this program include: Imaging in the second near infrared window:Research that advances medical applications of biophotonics in the second near-infrared window (NIR-II: 1,000-1,700 nm) in which biological tissues are transparent up to several centimeters in depth, making this spectral window ideal for deep tissue imaging. Macromolecule markers: Innovative methods for labeling of macromolecules. Novel compositions of matter. Methods of fabrication of multicolor probes that could be used for marking and detection of specific pathological cells.Pushing the envelope of optical sensing to the limits of detection, r...

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Subject to the availability of funds, awards made under this NOFO will help communities and regions devise and implement long-term economic recovery strategies through a variety of non-construction and construction projects, as appropriate, to address economic challenges in areas where a Presidential declaration of a major disaster was issued under the Robert T. Stafford Disaster Relief and Emergency Assistance Act (42 U.S.C. § 5121 et seq.) (Stafford Act) “as a result of Hurricanes Ian and Fiona, and of wildfires, flooding, and other natural disasters occurring in calendar years 2021 and 2022….” EDA is excited to announce the launch of its new grants management platform: the Economic Development Grants Experience (EDGE). EDGE was developed to streamline the application and grants management process by implementing a single platform with increased transparency, improved user experience, higher data quality, and more efficiency throughout the entire grant lifecycle.    Starting April 6, 2023, applications will no longer be accepted on Grants.gov, and will ONLY be accepted through EDGE (sfgrants.eda.gov). To apply for the FY 2023 Disaster Supplemental NOFO, please access the portal here. More information on how to apply is provided in the full NOFO. 

The Infrastructure Innovation for Biological Research Program (Innovation) supports research to design novel or greatly improved research tools and methods that advance contemporary biology in any research area supported by the Directorate forBiological Sciences at NSF. The Innovation Program focuses on research infrastructure that is broadly applicable to researchers in three programmatic areas: Bioinformatics, Instrumentation, and Research Methods. Infrastructure supported by this program is expected to advance biological understanding by improving scientists’ abilities to manipulate, control, analyze, or measure critical aspects of biological systems, which can be essential for addressing important fundamental research questions. Proposals submitted to these programmatic areas can do one of three things to advance or transform research in biology: develop novel infrastructure, significantly redesign existing infrastructure, or adapt existing infrastructure in novel ways. Projects are expected to have a significant application to one or more biological science questions and have the potential to be used by a community of researchers beyond a single research team. Please refer to the descriptions of individual programmatic areas for detailed guidance on what is supported through this solicitation (see links below).

TheNanoscale Interactionsprogram is part of theEnvironmental Engineering and Sustainabilitycluster, which also includes: 1) theEnvironmental Engineeringprogram; and 2) theEnvironmental Sustainabilityprogram. The goal of theNanoscale Interactionsprogram is to support research toadvance fundamental and quantitative understanding of the interactions of nanomaterials and nanosystems with biological andenvironmental media. Materials of interest include one- to three-dimensional nanostructures, heterogeneous nano-bio hybrid assemblies, dendritic and micelle structures, quantum dots, and other nanoparticles.Such nanomaterials and systems frequently exhibit novel physical, chemical, photonic, electronic, and biological behavior as compared to the bulk scale. Collaborative and interdisciplinary proposals are encouraged. Research areas supported by the program include: Characterizationof interactions at the interfacesof nanomaterials and nanosystems,including both simple nanoparticles andcomplex and/or heterogeneouscomposites and nanosystems, with surrounding biological and environmental media; Developmentof predictive toolsbased on the fundamental behavior ofnanostructures to advancecost-effective and environmentally benignprocessing and engineeringsolutions over full-life material cycles; Examinationof the transport, interaction, and impact of nanostructured materials andnanosystems on biological systems and the environment; Simulationsof nanoparticle behavior at interfaces, in conjunction with experimentalcomparisons, and new theories and simulation approaches for determiningthe t...

TheThermal Transport Processesprogram is part of the Transport Phenomena cluster, which alsoincludes1) theCombustion and Fire Systemsprogram; 2) theFluid Dynamicsprogram; and 3) theParticulate and Multiphase Processesprogram. TheThermal Transport Processesprogram supports engineering research projects that lay the foundation for newadvances 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 improvingbasic 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...

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The Energy, Power, Control, andNetworks (EPCN) Program supports innovative research in modeling, optimization, learning, adaptation, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation, as well as risk management in the presence of uncertainty, sub-system failures, and stochastic disturbances. EPCN also invests in novel machine learning algorithms and analysis, adaptive dynamic programming, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN’s goal is to encourage research on emerging technologies and applications including energy, transportation, robotics, and biomedical devices & systems. EPCN also emphasizes electric power systems, including generation, transmission, storage, and integration of renewable energy sources into the grid; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory & economic structures and with consumer behavior. Areas managed by Program Directors (please contact Program Directors listed in the EPCN staff directory for areas of interest): Control Systems Distributed Control and Optimization Networked Multi-Agent Systems Stochastic, Hybrid, Nonlinear Systems Dynamic Data-Enabled Learning, Decision and Control Cyber-Physical Control Systems Applications (Biomedical, Transportation, Robotics) Energy and Power Systems Solar, Wind, and Storage Devices Integration with the Grid Monitoring, Protection and Resilient Operation of Grid Power Gr...

The Economics program supports research designed to improve the understanding of the processes and institutions of the U.S. economy and of the world system of which it is a part. This program also strengthens both empirical and theoretical economic analysis as well as the methods for rigorous research on economic behavior. It supports research in almost every area of economics, including econometrics, economic history, environmental economics, finance, industrial organization, international economics, labor economics, macroeconomics, mathematical economics, and public finance. The Economics program welcomes proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, symposia, experimental research, data collection and dissemination, computer equipment and other instrumentation, and research experience for undergraduates. The program places a high priority on interdisciplinary research. Investigators are encouraged to submit proposals of joint interest to the Economics Program and other NSF programs and NSF initiative areas. The program places a high priority on broadening participation and encourages proposals from groups and regions that traditionally have not participated fully in science, mathematics, and engineering. The program also funds conferences and interdisciplinary research that strengthens links among economics and the other social and behavioral sciences as well as mathematics and statistics. The Doctoral Dissertation Research Improvement Grants (DDRIG) funding opportunity is designed to improve the....

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Synopsis TheCellular and Biochemical Engineering(CBE)program is part of theEngineering Biology and Healthcluster, which also includes: 1) theBiophotonicsprogram; 2) theBiosensingprogram; 3) theDisability and Rehabilitation Engineeringprogram; and 4) theEngineering of Biomedical Systemsprogram. TheCellular and Biochemical Engineeringprogram supports fundamental engineering research that advances understanding of cellular andbiomolecular processes. CBE-funded research may lead to the development of enabling technology for advanced biomanufacturing of therapeutic cells, biochemicals, and biopharmaceuticals, and for otherbiotechnology industrie. The program encourages highly innovative and potentially transformative engineering research leading to novel bioprocessing and biomanufacturing approaches. Fundamental to many CBE research projects is the understanding of how biomolecules, subcellular systems, cells, and cell populations interact, and how those interactions lead to changes in structure, function, and behavior. A quantitative treatment of problems related to biological processes is considered vital to successful research projects in the CBE program. Major areas of interest for the program include: Metabolic engineering and synthetic biology for biomanufacturing, The design of synthetic metabolic components and synthetic cells, Microbiome structure, function, maintenance, and design, Protein and enzyme engineering, and Design of integrated chemoenzymatic systems. The CBE program also encourages proposals that effectively integrate knowledge and practices from different d...

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TheEngineering of Biomedical Systemsprogram is part of the Engineering Biology and Health cluster, which also includes: 1) theBiophotonicsprogram; 2) theBiosensingprogram; 3) theCellular and Biochemical Engineeringprogram; and 4) theDisability and Rehabilitation Engineeringprogram. The goal of theEngineering of Biomedical Systems(EBMS) program is to provide opportunities for fundamental and transformative research projects that integrate engineering and life sciences to solve biomedical problems and serve humanity in the long term. Projects are expected to use an engineering framework (for example, design or modeling) that supports increased understanding of physiological or pathophysiological processes. Projects must include objectives that advance both engineering and biomedical sciences. Projects may include: methods, models, and enabling tools applied to understand or control living systems; fundamental improvements in deriving information from cells, tissues, organs, and organ systems; or new approaches to the design of systems that include both living and non-living components for eventual medical use in the long term. TheEBMS programsupports fundamental and transformative research in the following areas of biomedical engineering: Developmentof validated models (living or computational) of healthy and pathological tissues and organ systems that can support improved fundamental understanding of these systems or that could be applied in the future for development and testing of medical interventions; Designand validation of systems that integrate living and non-living c...

The Disability and Rehabilitation Engineering program is part of the Engineering Biology and Health cluster, which also includes: 1) the Biophotonics program; 2) the Biosensing program; 3) the Cellular and Biochemical Engineering program; and 4) the Engineering of Biomedical Systems program. The Disability and Rehabilitation Engineering program supports fundamental engineering research that will improve the quality of life of persons with disabilities through the development of new theories, methodologies, technologies, or devices. Disabilities could be developmental, cognitive, hearing, mobility, visual, selfcare, independent living, or other. Proposed projects must advance knowledge regarding a specific human disability or pathological motion or understanding of injury mechanisms. Research may be supported that is directed toward the characterization, restoration, rehabilitation, and/or substitution of human functional ability or cognition, or to the interaction between persons with disabilities and their environment. Areas of particular interest are neuroengineering, rehabilitation robotics, brain-inspired assistive or rehabilitative systems, theoretical or computational methods, and novel models of functional recovery including the development and application of artificial physiological systems. Emphasis is placed on significant advancement of fundamental engineering knowledge that facilitates transformative outcomes. The DARE Program encourages high-risk/high-reward proposals that surpass incremental technological improvements. The DARE Program also encourages particip...

Materials Research is the field of science where physics, chemistry, materials science, and engineering naturally converge in the pursuit of the fundamental understanding of the properties of materials and the phenomena they host. Materials are abundant and pervasive, serving as critical building blocks in technology and innovation. Materials Research impacts life and society, as it shapes our understanding of the material world and enables significant advances spanning the range from nanoelectronics to health-related fields. The development and deployment of advanced materials are major drivers of U.S. economic growth. Research supported by the Division of Materials Research (DMR) focuses on advancing the fundamental understanding of materials, materials discovery, design, synthesis, characterization, properties, and materials-related phenomena. DMR awards enable understanding of the electronic, atomic, and molecular structures, mechanisms, and processes that govern nanoscale to macroscale morphology and properties; manipulation and control of these properties; discovery of emerging phenomena of matter and materials; and creation of novel design, synthesis, and processing strategies that lead to new materials with unique characteristics. These discoveries and advancements transcend traditional scientific and engineering disciplines. Projects supported by DMR are not only essential for the development of future technologies and industries that address societal needs, but also for the preparation of the next generation of materials researchers. Additional Information Eligibi...

CMMT supports theoretical and computational materials research in the topical areas represented in DMR's other Topical Materials Research Programs (these are also variously known as Individual Investigator Award (IIA) Programs, or Core Programs, or Disciplinary Programs), which are: Condensed Matter Physics (CMP), Biomaterials (BMAT), Ceramics (CER), Electronic and Photonic Materials (EPM), Metals and Metallic Nanostructures (MMN), Polymers (POL), and Solid State and Materials Chemistry (SSMC). The CMMT program supports fundamental research that advances conceptual understanding of hard and soft materials, and materials-related phenomena; the development of associated analytical, computational, and data-centric techniques; and predictive materials-specific theory, simulation, and modeling for materials research. First-principles electronic structure, quantum many-body and field theories, statistical mechanics, classical and quantum Monte Carlo, and molecular dynamics, are among the methods used in the broad spectrum of research supported in CMMT. Research may encompass the advance of new paradigms in materials research, including emerging data-centric approaches utilizing data-analytics or machine learning. Computational efforts span from the level of workstations to advanced and high-performance scientific computing. Emphasis is on approaches that begin at the smallest appropriate length scale, such as electronic, atomic, molecular, nano-, micro-, and mesoscale, required to yield fundamental insight into material properties, processes, and behavior, to predict new material...

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