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The Particulate and Multiphase 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 Thermal Transport Processes program. The goal of the Particulate and Multiphase Processes 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, 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 or modeling.

The Process Systems, Reaction Engineering and Molecular Thermodynamics program is part of the Chemical Process Systems cluster, which also includes: 1) the Catalysis program; 2) the Electrochemical Systems program; and 3) the Interfacial Engineering program. The goal of the Process Systems, Reaction Engineering and Molecular Thermodynamics program 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 this information into the design of complex chemical reactors. An important area supported by the program focuses on the development of energy-efficient and environmentally-friendly chemical processes and materials. 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 complex chemical reactors. Focus areas include novel reactor designs, such as catalytic and membrane reactors, micro-reactors, and atomic layer deposition systems; studies of reactions in supercritical fluids; novel activation techniques, such as plasmas, acoustics, and microwaves; design of multifunctional systems, such as "chemical-factory/lab-on-a-chip" concepts; and biomass conversion to fuels and chemicals. The program also supports new approaches that enable the design of modular chemical manufacturing systems.

Urban Air Mobility refers to the transport of passengers and goods through the air. Groundbreaking developments in autonomous flight, energy storage and electrical propulsion, and connected infrastructure have set the stage for what many are calling the biggest revolution in the skies since the jet engine was born. Ohio has a storied history in aviation and aerospace, and today remains a vibrant hub for this critical industry.  Join stakeholders spanning government, industry, and academia on Thursday February 27th, 2020 at The Ohio State University in Columbus, Ohio, to explore Ohio's opportunity and role in advancing Urban Air Mobility. The day-long symposium will feature panels and speakers which address various elements of the complex Urban Air Mobility (UAM) ecosystem, including: Defining UAM and its specific use cases Vehicle design, enabling technologies, and certification Operational challenges: airspace integration, cyber-security, and traffic management Infrastructure: planning, zoning, and financing (with Public-Private Partnerships) Leveraging Ohio's research, testing, manufacturing, and early use cases for UAM There will be plenty of opportunities for networking throughout the event, such as our lunch and post-event reception. Guests are also encouraged to reach out to the event organizing entities to schedule follow up discussions and/or site visits to tour Ohio's capability centers such as university research labs and the Ohio UAS Center.

The National Science Foundation (NSF) through its Divisions of Electrical, Communications and Cyber Systems (ECCS); Chemical, Bioengineering, Environmental and Transport Systems (CBET); Civil, Mechanical and Manufacturing Innovation (CMMI); Information and Intelligent Systems (IIS); and Mathematical Sciences (DMS) announces a solicitation on Multimodal Sensor Systems for Precision Health enabled by Data Harnessing, Artificial Intelligence (AI), and Learning. Next-generation multimodal sensor systems for precision health integrated with AI, machine learning (ML), and mathematical and statistical (MS) methods for learning can be envisioned for harnessing a large volume of diverse data in real time with high accuracy, sensitivity and selectivity, and for building predictive models to enable more precise diagnosis and individualized treatments. It is expected that these multimodal sensor systems will have the potential to identify with high confidence combinations of biomarkers, including kinematic and kinetic indicators associated with specific disease and disability. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts, innovative methodologies, theory, algorithms, and enabling technologies that will address the fundamental scientific issues and technological challenges associated with precision health.

Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will expand the horizons of these critical systems. CPS technologies are transforming the way people interact with engineered systems, just as the Internet has transformed the way people interact with information. New, smart CPS drive innovation and competition in a range of application domains including agriculture, aeronautics, building design, civil infrastructure, energy, environmental quality, healthcare and personalized medicine, manufacturing, and transportation. CPS are becoming data-rich enabling new and higher degrees of automation and autonomy. Traditional ideas in CPS research are being challenged by new concepts emerging from artificial intelligence and machine learning. The integration of artificial intelligence with CPS especially for real-time operation creates new research opportunities with major societal implications.

Applications are sought for novel technologies that are targeted to scale down Integrated Gasification and Combined Cycle (IGCC) plant components in the REMS philosophy to achieve programmatic cost reduction goals and to enable opportunities for lifecycle greenhouse gas reductions by locating distributed generation/fuel production closer to its raw material source. The overall technical goal of this FOA is the development of REMS for combined heat and power, and the development of retrofit options to process clean syngas to other products such as liquid fuels and chemicals in lieu of power. In particular, the FOA has an objective to develop REMS process technologies that are cost effective relative to state-of-the-art commercial technology, due to low cost fabrication via advanced manufacturing. The FOA also has an objective to study the cost and performance of a REMS-based combined heat and power or polygeneration system implemented in remote areas subjected to traditionally high energy costs to understand the extent of program impact.

Demands for engineering plastics that replace metal parts are increasing in recent years in order to reduce the weight without reducing mechanical properties. NineSigma's client, a leading automotive parts manufacturer develops high-performance plastic composites, with a particular focus on glass and carbon fiber reinforced polyamide and polypropylene based composite materials. Shorter production times for high stressed components are key to realize the goal of minimizing metal usage.

CR1: Sensor Fusion · CR2: Machine Learning Systems for Wireless Cyber Environments · DD1: Research on emerging software development including · DD2: Reserved · DD3: Research and Development of laser propagation, energy density, manufacturing, control, beam forming, and related topics to lasers as weapons in a marine environment · DD4: Research on analysis of mission engineering for emerging weapon systems, systems engineering techniques and algorithms, platform level analysis capabilities, integrated platform analysis capabilities, missions thread visualizations capabilities, and related research topics · DD5: Modeling and simulation research and development including: innovative Model-Based Systems Engineering (MBSE) methods and tools, methods for aggregating data across higher and lower-level simulations, and tools for approaches for linking simulation results with mission effectiveness · DD6: Research on Radar unitization in a marine environment to include component development, power density, advanced signal processing, track processing, and related topics for surface radar applications · DD7: Railgun developmental research including: materials for rail ablation reduction, energy storage, weight reduction, energy recovery, component development, high energy systems components, advanced cooling techniques and related research for railgun systems.

The Engineering for Civil Infrastructure (ECI) program supports fundamental research that will shape the future of our nation's constructed civil infrastructure, subjected to and interacting with the natural environment, to meet the needs of humans. In this context, research driven by radical rethinking of traditional civil infrastructure in response to emerging technological innovations, changing population demographics, and evolving societal needs is encouraged. The ECI program focuses on the physical infrastructure, such as the soil-foundation-structure-envelope-nonstructural building system; geostructures; and underground facilities. It seeks proposals that advance knowledge and methodologies within geotechnical, structural, architectural, materials, coastal, and construction engineering, especially that include collaboration with researchers from other fields, including, for example, biomimetics, bioinspired design, advanced computation, data science, materials science, additive manufacturing, robotics, and control theory. Research may explore holistic building systems that view construction, geotechnical, structural, and architectural design as an integrated system; adaptive building envelope systems; nonconventional building materials; breakthroughs in remediated geological materials; and transformational construction processes. Principal investigators are encouraged to consider civil infrastructure subjected to and interacting with the natural environment under “normal” operating conditions; intermediate stress conditions (such as deterioration, and severe locational and climate conditions); and extreme single or multi natural hazard events (including earthquakes, windstorms, tsunamis, storm surges, sinkholes, subsidence, and landslides).

The Engineering Design and Systems Engineering (EDSE) program supports fundamental research into the basic processes and phenomena of engineering design and systems engineering. The program seeks proposals leading to improved understanding about how processes, organizational structure, social interactions, strategic decision making, and other factors impact success in the planning and execution of engineering design and systems engineering projects. It also supports advances pertaining to engineering design and systems engineering in areas that include, but are not limited to, decision making under uncertainty, including preference and demand modeling; problem decomposition and decision delegation; applications of reverse game theory (mechanism design); computer-aided design; design representation; system performance modeling and prediction; design optimization; uncertainty quantification; domain- or concern-specific design methods; and advanced computational techniques for supporting effective human cognition, decision making, and collaboration. Competitive proposals for novel methods will include a plan to evaluate rigorously the effectiveness and performance of the proposed approach. The EDSE program encourages multidisciplinary collaborations of experts in design and systems engineering with experts in other domains. Of particular interest is research on the design of engineering material systems that leverages the unique aspects of a particular material system to realize advanced design methods that are driven by performance metrics and incorporate processing/manufacturing considerations.

The Solar Energy Technologies Office (SETO), in the Office of Energy Efficiency and Renewable Energy (EERE) of the U.S. Department of Energy (DOE), is requesting input on integrated data and analysis needs across the solar value chain to inform near to mid-term plans for the development of information based network planning, real time optimization, and bankability tools in the context of the SunShot 2030 goals. SETO aims to better understand the information-related problems and questions that exist for key stakeholders, including manufacturers, project developers, financiers, engineering procurement and construction businesses, state and local jurisdictions, researchers, analysts, and others supporting the technological advancement and wide scale adoption of solar technology.

The aim of this Special Notice under the BAA is to address the current limitations of conventional packaging and support the recent advancements in silicon carbide (SiC) power device technology for military and commercial applications. Wide bandgap power semiconductors, such as SiC, have emerged with properties that allow them to far surpass the performance of conventional silicon (Si) power technology and make them prime candidates for next-generation high-power switching devices for military, as well as commercial, applications. SiC power devices have demonstrated greater than twice the power density of Si power devices and at greater efficiency. Traditional power packaging approaches are now the limiting factor in fully realizing the performance benefits offered by SiC power device technology. Conventional power packaging has a number of opportunities for improvement including, but not limited to, parasitic inductance, heat removal capability, reliability (wirebonds, DBC, large area contacts), transient thermal mitigation, planar packaging, and standard subtractive manufacturing. Solutions are sought for the development of holistic, multiphysics approaches to power module development that address electrical, thermal and thermomechanical issues in a coupled manner to realize the full performance of SiC semiconductor devices. SiC is being explored and/or implemented for low voltage (600 V to 3.3 kV), medium voltage (3.3 kV - 10 kV), and high voltage (10 kV - 24 kV) military and/or commercial applications.

The Operations Engineering (OE) program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. Analytical methods include, but are not limited to, deterministic and stochastic modeling, optimization, decision and risk analysis, data science, and simulation. Methodological research is highly encouraged but must be motivated by problems that have potential for high impact in engineering applications. Application domains of particular interest to the program arise in commercial enterprises (e.g., production/manufacturing systems and distribution of goods, delivery of services), the public sector/government (e.g., public safety and security), and public/private partnerships (e.g., health care, environment and energy). The program also welcomes operations research in new and emerging domains and addressing systemic societal or technological problems. The OE program particularly values cross-disciplinary proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context. Proposals for methodological research that are not strongly motivated by high-potential engineering applications are not appropriate for this program.

The purpose of this funding opportunity announcement (FOA) is to support the development of novel tools and technologies through the Small Business Innovation Research (SBIR) program to advance the field of neuroscience research. This FOA specifically supports the development of novel neurotechnologies as well as the translation of technologies developed through the BRAIN initiative or through other funding programs, towards commercialization. Funding can support the iterative refinement of these tools and technologies with the end-user community, with an end-goal of scaling manufacture towards reliable, broad, sustainable dissemination and incorporation into regular neuroscience research.

The purpose of this funding opportunity announcement (FOA) is to support the development of novel tools and technologies through the Small Business Technology Transfer (STTR) program to advance the field of neuroscience research. This FOA specifically supports the development of novel neurotechnologies as well as the translation of technologies developed through the BRAIN initiative or through other funding programs, towards commercialization. Funding can support the iterative refinement of these tools and technologies with the end-user community, with an end-goal of scaling manufacture towards reliable, broad, sustainable dissemination and incorporation into regular neuroscience practice.

The purpose of this Request for Information is to seek input from fossil fueled power plant owners, operators, equipment manufacturers, architect engineers, and other interested stakeholders about energy storage opportunities and research needs that could lead to advances in energy storage technologies. Areas of interest include fossil fueled electricity generating units, fossil fueled poly generation facilities, and suitable fossil fueled industrial applications. Advances in storage technology capable of improving the overall performance, reliability, and flexibility of these plants will enable our Nation to continue to extract maximum economic value from its fossil fueled energy system assets. This is solely a request for information and is not a Funding Opportunity Announcement. The Department of Energy is not accepting applications to this Request for Information.

The Electrical, Communications and Cyber Systems Division (ECCS) supports enabling and transformative engineering research at the nano, micro, and macro scales that fuels progress in engineering system applications with high societal impact. This includes fundamental engineering research underlying advanced devices and components and their seamless penetration in power, controls, networking, communications or cyber systems. The research is envisioned to be empowered by cutting-edge computation, synthesis, evaluation, and analysis technologies and is to result in significant impact for a variety of application domains in healthcare, homeland security, disaster mitigation, telecommunications, energy, environment, transportation, manufacturing, and other systems-related areas. ECCS also supports new and emerging research areas encompassing 5G and Beyond Spectrum and Wireless Technologies, Quantum Information Science, Artificial Intelligence, Machine Learning, and Big Data.

The Electrical, Communications and Cyber Systems Division (ECCS) supports enabling and transformative engineering research at the nano, micro, and macro scales that fuels progress in engineering system applications with high societal impact. This includes fundamental engineering research underlying advanced devices and components and their seamless penetration in power, controls, networking, communications or cyber systems. The research is envisioned to be empowered by cutting-edge computation, synthesis, evaluation, and analysis technologies and is to result in significant impact for a variety of application domains in healthcare, homeland security, disaster mitigation, telecommunications, energy, environment, transportation, manufacturing, and other systems-related areas. ECCS also supports new and emerging research areas encompassing 5G and Beyond Spectrum and Wireless Technologies, Quantum Information Science, Artificial Intelligence, Machine Learning, and Big Data. ECCS, through its ASCENT program, offers its engineering community the opportunity to address research issues and answer engineering challenges associated with complex systems and networks that are not achievable by a single principal investigator or by short-term projects and can only be achieved by interdisciplinary research teams. ECCS envisions a connected portfolio of transformative and integrative projects that create synergistic links by investigators across its three ECCS clusters: Communications, Circuits, and Sensing-Systems (CCSS), Electronics, Photonics and Magnetic Devices (EPMD), and Energy, Power, Control, and Networks (EPCN), yielding novel ways of addressing challenges of engineering systems and networks. ECCS seeks proposals that are bold and ground-breaking, transcend the perspectives and approaches typical of disciplinary research efforts, and lead to disruptive technologies and methods or enable significant improvement in quality of life.

The Electrical, Communications and Cyber Systems Division (ECCS) supports enabling and transformative engineering research at the nano, micro, and macro scales that fuels progress in engineering system applications with high societal impact. This includes fundamental engineering research underlying advanced devices and components and their seamless penetration in power, controls, networking, communications or cyber systems. The research is envisioned to be empowered by cutting-edge computation, synthesis, evaluation, and analysis technologies and is to result in significant impact for a variety of application domains in healthcare, homeland security, disaster mitigation, telecommunications, energy, environment, transportation, manufacturing, and other systems-related areas. ECCS also supports new and emerging research areas encompassing 5G and Beyond Spectrum and Wireless Technologies, Quantum Information Science, Artificial Intelligence, Machine Learning, and Big Data.