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TheProcess Systems, Reaction Engineering, and Molecular Thermodynamicsprogram is part of the Chemical Process Systems cluster, which also includes: 1) theCatalysisprogram; 2) theElectrochemical Systemsprogram; and 3) theInterfacial Engineeringprogram. The goal of theProcess Systems, Reaction Engineering, and Molecular Thermodynamicsprogram is to advance fundamental engineering research on the rates and mechanisms of chemical reactions, systems engineering, and molecular thermodynamics as they relate to the design and optimization of chemical reactors and the production of specialized materials that have important impacts on society. The program supports the development of advanced optimization and control algorithms for chemical processes, molecular and multi-scale modeling of complex chemical systems, fundamental studies on molecular thermodynamics, and the integration of these methods and concepts into the design of novel chemical products and manufacturing processes. This program supports sustainable chemical manufacturing research on the development of energy-efficientchemical processes and environmentally-friendly chemical products through concurrent chemical product/process design methods.Sustainability is also enhanced by research that promotes the electrification of the chemical process industries over current thermally-activated processes. Proposals should focus on: Chemical reaction engineering: This area encompasses the interaction of transport phenomena and kinetics in reactive systems and the use of this knowledge in the design of chemical reactors.Research are...

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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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...

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).

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...

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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...

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The Joint Center of Excellence (COE) for Advanced Materials (JAMS) was established in January 2004 to assist in ensuring the safe and reliable application of com­posites and advanced materials to commercial aircraft. The Center is a joint effort of the Center of Excel­lence for Composite and Advanced Materials (CECAM) led by Wich­ita State University and the Center of Excellence for Advanced Mate­rials in Transport Aircraft Struc­tures (AMTAS) led by the Univer­sity of Washington. The COE is a leader in international coordina­tion of research, development, and standardization for structures con­structed from these new materials.The goal of this joint cen­ter is to create a cost-sharing academic, in­dustrial, and governmental part­nership. The members are forging a union between the public sector, the private sector and academic in­stitutions to create a world-class capability to identify solutions for existing and potential advanced materials and structures issues.The focus of this partnership is the research, engineering and de­velopment of information used to assure safety and standardize cer­tification of existing and emerg­ing structural applications of com­posites and advanced materials. Specifically, projects include the evaluation of past applications, performance of applied research and the development of standard engineering practices. This Joint Center of Excellence, working with industry and government, also plays an important role in technology transfer, training, and continuing education for the aircraft industry and regulators.Research Areas:Damage Tolerance o...

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The Research Infrastructure in the Social and Behavioral Sciences Program (RISBS) supports projects that create computational tools and data to facilitate basic research in the social and behavioral sciences that can lead to improved health, prosperity and security. Projects should be aimed at creating computational tools and data to enable research by social scientists. Examples include, but are not limited to, data collection or assembly efforts that result in new resources for a community of researchers or software platforms that facilitate data collection efforts by others. RISBS does not support research by PIs except in service of creation of the infrastructure. Innovation is especially encouraged. RISBS directly supports three key longitudinal surveys and panel studies that provide researchers with data on how American society functions and changes over time (and in 2010 were recognized as among the 60 most significant "discoveries or advances that... have had a large impact or influence on every American’s life... call[ed] the ‘Sensational 60’, in honor of NSF’s 60th anniversary”): The American National Election Study, which started in 1948 and has been funded by NSF since 1977, provides “gold standard” data on voting, public opinion, and political participation in U.S. national elections. The General Social Survey, a nationally representative interview survey of the U.S. adult population, collects data on a wide range of topics and has been funded by NSF since its inception in 1972. The Panel Study of Income Dynamics, a longitudinal survey of a nationally represent...

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