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The Macromolecular, Supramolecular and Nanochemistry (MSN) Program focuses on basic research that addresses fundamental questions regarding the chemistry of macromolecular, supramolecular and nanoscopic species and other organized structures and that advances chemistry knowledge in these areas.  Research of interest to this program will explore novel chemistry concepts in the following topics: (1) The development of novel synthetic approaches to clusters, nanoparticles, polymers, and supramolecular architectures; innovative surface functionalization methodologies; surface monolayer chemistry; and template-directed synthesis.  (2) The study of molecular-scale interactions that give rise to macromolecular, supramolecular or nanoparticulate self-assembly into discrete structures; and the study of chemical forces and dynamics that are responsible for spatial organization in discrete organic, inorganic, or hybrid systems (excluding extended solids).  (3) Investigations that utilize advanced experimental or computational methods to understand or to predict the chemical structure, unique chemical and physicochemical properties, and chemical reactivities that result from the organized or nanoscopic structures.  Research in which theory advances experiment and experiment advances theory synergistically is of special interest.

The Macromolecular, Supramolecular and Nanochemistry (MSN) Program focuses on basic research that addresses fundamental questions regarding the chemistry of macromolecular, supramolecular and nanoscopic species and other organized structures and that advances chemistry knowledge in these areas.  Research of interest to this program will explore novel chemistry concepts in the following topics: (1) The development of novel synthetic approaches to clusters, nanoparticles, polymers, and supramolecular architectures; innovative surface functionalization methodologies; surface monolayer chemistry; and template-directed synthesis.  (2) The study of molecular-scale interactions that give rise to macromolecular, supramolecular or nanoparticulate self-assembly into discrete structures; and the study of chemical forces and dynamics that are responsible for spatial organization in discrete organic, inorganic, or hybrid systems (excluding extended solids).  (3) Investigations that utilize advanced experimental or computational methods to understand or to predict the chemical structure, unique chemical and physicochemical properties, and chemical reactivities that result from the organized or nanoscopic structures.  Research in which theory advances experiment and experiment advances theory synergistically is of special interest.

 Current product-specific bioequivalence (BE) guidance published by the Office of Generic Drugs for dry powder inhalers (DPIs) include in vitro testing recommendations for single actuation content and aerodynamic particle size distribution, as well as recommendations for a pharmacokinetic study and a pharmacodynamic or clinical endpoint study.  Given the extensive nature of current DPI BE guidance, it is desirable that current in vitro testing for DPIs be more reflective of in vivo performance.  Computational fluid dynamics (CFD) and discrete element modeling (DEM) have been used to predict dry powder aerosol behavior, including the effects of agglomeration and deagglomeration.  The purpose of the study will be to develop a CFD-DEM model which can be used to evaluate the impact of various physicochemical properties and device performance properties on regional deposition, to identify potentially biorelevant ranges for these properties that may be useful for future BE recommendations.   

The Division of Chemical, Bioengineering and Environmental Transport (CBET) in the Engineering Directorate of the National Science Foundation (NSF) is partnering with The Center for the Advancement of Science in Space (CASIS) to solicit research projects in the general field of fluid dynamics and particulate and multiphase processes that can utilize the International Space Station (ISS) National Lab to conduct research that will benefit life on Earth. U.S. entities including academic investigators, non-profit independent research labs and academic-commercial teams are eligible to apply.

The DREaM program will develop new materials and novel device structures to create RF/millimeter wave transistors that enable high dynamic range RF systems. Such RF systems fundamentally require either high transmitting power to increase the signal strength or high linearity signal reception to minimize the spurs or noise in the spectrum. The DREaM program will dramatically increase the output power density at the transistor level as compared to present GaN technology. In addition, DREaM devices with intrinsically higher linearity will enable circuit and system designs with superior reception at much lower power consumption penalties.

NSWC Crane is interested in funding research of advanced 3D scene reconstruction techniques using imagery taken from currently fielded dynamic (moving) platforms. This proposed research is to assess and prototype methods currently utilized in commercial and academic systems to determine how to utilize several moving platforms in several different wavebands to reconstruct a 3D visualization of a scene.

NSWC Crane is interested in funding research of advanced 3D scene reconstruction techniques using imagery taken from currently fielded dynamic (moving) platforms. This proposed research is to assess and prototype methods currently utilized in commercial and academic systems to determine how to utilize several moving platforms in several different wavebands to reconstruct a 3D visualization of a scene.

The Hazard Mitigation and Structural Engineering (HMSE) program supports fundamental research to mitigate impacts of natural and anthropogenic hazards on civil infrastructure and to advance the reliability, resiliency, and sustainability of buildings and other structures. Hazards considered within the program include earthquake, tsunami, hurricane, tornado and other loads, as well as explosive and impact loading. Resiliency of buildings and other structures include structural and non-structural systems that, in totality, permit continued occupation or operation in case of an impact by a hazard. Research is encouraged that integrates structural and architectural engineering advances with discoveries in other science and engineering fields, such as earth and atmospheric sciences, material science, mechanics of materials, sensor technology, high performance computational modeling and simulation, dynamic system and control, and economics. The program seeks to fund transformative and cost-effective innovations for hazard mitigation of both new and rehabilitated buildings and other structures. Research in structural and architectural engineering is encouraged that extends beyond mature or current construction materials into investigations of smart and sustainable materials and technologies, and considers the structures in their entirety. In addition, the program funds research on structural health monitoring that goes beyond data acquisition to include the holistic system, integrating condition assessment and decision making tools to improve structural performance.

Proposals for potential FY14 Exploratory Development/Applied Research (Budget category 6.2) projects are sought under the following focus areas: 1. Low-profile conformal multi-band (e.g., X/Ku/Ka) multi-beam digital phased array antennas with reduced beam squint and low side lobes and scan loss; 2. Transformative concepts/designs (arrays, waveform, signal processing etc.) to enhance performance and aperture size/power efficiency in high bandwidth troposcatter communications; 3. Passive wavelength filter technologies for the 450-550 nm blue-green underwater communications receiver (band-pass widths as applicable to a variety of laser/LED sources), with wide field-of-view (> +-20 degrees), low insertion loss and high isolation; 4. Innovative concepts and approaches for spectrum co-existence (underlay/overlay, spatio-temporal/spectral management and deconfliction) of military waveforms with commercial wireless communications; 5. Dynamic network (traffic) scheduling, throughput and robustness enhancement codes/algorithms/protocols under nonstationary channel conditions; and 6. Machine learning algorithm/protocol and techniques for autonomous network management ONR is also receptive to highly innovative ideas in other general communications and networking areas that are not within the designated focus areas above, but nonetheless are important to the Navy/Marine Corps, as determined under the synopsis section above.

The Division of Engineering Education and Centers (EEC) supports creation of a more agile engineering education ecosystem, equally open and available to all members of society, that dynamically and rapidly adapts to meet the changing needs of society and the nation's economy.  Research is sought that will inform systemic change across all parts of the ecosystem

The NSF's vision for Advanced Computing Infrastructure (ACI), which is part of its Cyberinfrastructure for 21st Century Science and Engineering (CIF21), focuses specifically on ensuring that the science and engineering community has ready access to the advanced computational and data-driven capabilities required to tackle the most complex problems and issues facing today's scientific and educational communities. To accomplish these goals requires advanced computational capabilities within the context of a multilevel comprehensive and innovative infrastructure that benefits all fields of science and engineering. Previous solicitations have concentrated on enabling petascale capability through the deployment and support of a world-class High Performance Computing (HPC) environment. In the past decade the NSF has provided the open science and engineering community with a number of state-of-the art HPC assets ranging from loosely coupled clusters, to large scale instruments with many thousands of computing cores communicating via fast interconnects, and more recently with diverse heterogeneous architectures. Recent developments in computational science have begun to focus on complex, dynamic and diverse workflows. Some of these involve applications that are extremely data intensive and may not be dominated by floating point operation speed. While a number of the earlier acquisitions have addressed a subset of these issues, the current solicitation emphasizes this even further.

The Fluid Dynamics program supports fundamental research and education on mechanisms and phenomena governing fluid flow. Proposed research should contribute to basic understanding; thus enabling the better design; predictability; efficiency; and control of systems that involve fluids. Encouraged are proposals that address innovative uses of fluids in materials development; manufacturing; biotechnology; nanotechnology; clinical diagnostics and drug delivery; sensor development and integration; energy and the environment. While the research should focus on fundamentals, a clear connection to potential application should be outlined.

The broad spectrum of research supported in CMMT includes first-principles, quantum many-body, statistical mechanics, classical and quantum Monte Carlo, and molecular dynamics methods. Computational efforts span from 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 materials and states of matter, and to reveal new materials-related phenomena. Approaches that span multiple scales of length and time may be required to advance fundamental understanding of materials properties and phenomena, particularly for polymeric materials and soft matter. Examples of areas of recent interest appear in the program description. CMMT encourages potentially transformative theoretical and computational materials research, which includes but is not limited to: i) developing materials-specific prediction and advancing understanding of properties, phenomena, and emergent states of matter associated with either hard or soft materials, ii) developing and exploring new paradigms including cyber- and data-enabled approaches to advance fundamental understanding of materials and materials related phenomena, oriii) fostering research at interfaces among subdisciplines represented in the Division of Materials Research

Grants will support the development of research and practices that focus on the human dynamics of resilience. Specifically, we are interested in projects that enhance community resilience and well-being by accounting for the influence of social, cultural, and health factors on a community's capacity to adapt and thrive as part of efforts to mitigate and respond to the adverse impacts of climate change, severe weather, and major environmental disasters. Proposed projects should bring together researchers, practitioners, and individuals from communities, including those from community organizations, state and local government, industry, and local businesses, so that all relevant perspectives inform possible approaches to advancing the science and practice of resilience. Involvement of local leaders and community members, particularly those substantially affected, is strongly encouraged.

The goal of the Particulate and Multiphase Processes (PMP) program 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, 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 or modeling.

The Geotechnical Engineering and Materials Program (GEM) supports fundamental research in soil and rock mechanics and dynamics in support of physical civil infrastructure systems. Also supported is research on improvement of the engineering properties of geologic materials for infrastructure use by mechanical, biological, thermal, chemical, and electrical processes. The Program supports the traditional areas of foundation engineering, earth structures, underground construction, tunneling, geoenvironmental engineering, and site characterization, as well as the emerging area of bio-geo engineering, for civil engineering applications, with emphasis on sustainable geosystems. Research related to the geotechnical engineering aspects of geothermal energy and geothermal heat pump systems is also supported. The GEM program encourages knowledge dissemination and technology transfer activities that can lead to broader societal benefit and implementation for provision of physical civil infrastructure. The Program also encourages research that explores and builds upon advanced computing techniques and tools to enable major advances in Geotechnical Engineering.

The Process and Reaction Engineering program supports fundamental and applied research on: Rates and mechanisms of important classes of catalyzed and uncatalyzed chemical reactions as they relate to the design, production, and application of catalysts, chemical processes, biochemical processes, and specialized materials Chemical and biochemical phenomena occurring at or near solid surfaces and interfaces Electrochemical and photochemical processes of engineering significance or with commercial potential Design and optimization of complex chemical and biochemical processes Dynamic modeling and control of process systems and individual process units Reactive processing of polymers, ceramics, and thin films Interactions between chemical reactions and transport processes in reactive systems, and the use of this information in the design of complex chemical and biochemical reactors  Recent emphasis on the development of sustainable energy technologies means that the support of projects on the processing aspects of chemical systems that further such technologies have high priority when funding decisions are made. Areas that focus on reactors of all types - fuel cells, batteries, microreactors, biochemical reactors, etc.; reactor design in general; and design and control of all systems associated with energy from renewable sources, have high priority for funding.

The mission of the Biomedical Engineering (BME) program is to provide opportunities to develop novel ideas into discovery-level and transformative projects that integrate engineering and life science principles in solving biomedical problems that serve humanity in the long-term.  The Biomedical Engineering (BME) program supports fundamental research in the following BME themes: Neural engineering (brain science, computational neuroscience, brain-computer interface, neurotech, cognitive engineering) Cellular biomechanics (motion, deformation, and forces in biological systems; how mechanical forces alter cell growth, differentiation, movement, signal transduction, transport, cell adhesion, cell cytoskeleton dynamics, cell-cell and cell-ECM interactions; genetically engineered stem cell differentiation with long-term impact in tissue repair and regenerative medicine) The BME projects must be at the interface of engineering and life sciences, and advance both engineering and life sciences.  The projects should focus on high impact transforming methods and technologies. The project should include methods, models and tools of understanding and controlling of living systems; fundamental improvements in deriving information from cells, tissues, organs, and organ systems; new approaches to the design of structures and materials for eventual medical use in the long-term; and new novel methods of reducing health care costs through new technologies. The projects should emphasize the advancement of fundamental engineering knowledge, possibly leading to the development of new methods and technologies in the long-term; and highlight multi-disciplinary nature, integrating engineering and the sciences. The long-term impact of the projects can be related to disease diagnosis and/or treatment, improved health care delivery, or product development.

The Process and Reaction Engineering program supports fundamental and applied research on: Rates and mechanisms of important classes of catalyzed and uncatalyzed chemical reactions as they relate to the design, production, and application of catalysts, chemical processes, biochemical processes, and specialized materials Chemical and biochemical phenomena occurring at or near solid surfaces and interfaces Electrochemical and photochemical processes of engineering significance or with commercial potential Design and optimization of complex chemical and biochemical processes Dynamic modeling and control of process systems and individual process units Reactive processing of polymers, ceramics, and thin films Interactions between chemical reactions and transport processes in reactive systems, and the use of this information in the design of complex chemical and biochemical reactors  Recent emphasis on the development of sustainable energy technologies means that the support of projects on the processing aspects of chemical systems that further such technologies have high priority when funding decisions are made. Areas that focus on reactors of all types - fuel cells, batteries, microreactors, biochemical reactors, etc.; reactor design in general; and design and control of all systems associated with energy from renewable sources, have high priority for funding.

The mission of the Biomedical Engineering (BME) program is to provide opportunities to develop novel ideas into discovery-level and transformative projects that integrate engineering and life science principles in solving biomedical problems that serve humanity in the long-term.  The Biomedical Engineering (BME) program supports fundamental research in the following BME themes: Neural engineering (brain science, computational neuroscience, brain-computer interface, neurotech, cognitive engineering) Cellular biomechanics (motion, deformation, and forces in biological systems; how mechanical forces alter cell growth, differentiation, movement, signal transduction, transport, cell adhesion, cell cytoskeleton dynamics, cell-cell and cell-ECM interactions; genetically engineered stem cell differentiation with long-term impact in tissue repair and regenerative medicine) The BME projects must be at the interface of engineering and life sciences, and advance both engineering and life sciences.  The projects should focus on high impact transforming methods and technologies. The project should include methods, models and tools of understanding and controlling of living systems; fundamental improvements in deriving information from cells, tissues, organs, and organ systems; new approaches to the design of structures and materials for eventual medical use in the long-term; and new novel methods of reducing health care costs through new technologies.

This Funding Opportunity Announcement (FOA) encourages applications for developing and testing innovative theories and computational, mathematical, or engineering approaches to deepen our understanding of complex social behavior. This research will examine phenomena at multiple scales to address the emergence of collective behaviors that arise from individual elements or parts of a system working together. Emergence can also describe the functioning of a system within the context of its environment. Often properties we associate with a system itself are in actuality properties of the relationships and interactions between a system and its environment. This FOA will support research that explores the often complex and dynamic relationships among the parts of a system and between the system and its environment in order to understand the system as a whole.