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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.

The National Science Foundation (NSF), through its Divisions of Electrical, Communications and Cyber Systems (ECCS), Computing and Communication Foundations (CCF), Molecular and Cellular Biosciences (MCB), and Materials Research (DMR) announces a follow-up solicitation on the Semiconductor Synthetic Biology for Information Storage and Retrieval Program (SemiSynBio-II).  Future ultra-low energy storage-based computing systems can be built on principles derived from organic systems that are at the intersection of physics, chemistry, biology, computer science and engineering.  Next-generation information storage technologies can be envisioned that are driven by biological principles and use biomaterials in the fabrication of devices and systems that can store data for more than 100 years with storage capacity 1,000 times more than current storage technologies.  Such a research effort can have a significant impact on the future of information storage and retrieval technologies. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts and enabling technologies that will address the fundamental scientific issues and technological challenges associated with the underpinnings of synthetic biology integrated with semiconductor technology. This research will foster interactions among various disciplines including biology, physics, chemistry, materials science, computer science and engineering that will enable in heretofore unanticipated breakthroughs.

The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and the Simons Foundation Division of Mathematics and Physical Sciences will jointly sponsor up to two new research collaborations consisting of mathematicians, statisticians, electrical engineers, and theoretical computer scientists. Research activities will be focused on explicit topics involving some of the most challenging questions in the general area of Mathematical and Scientific Foundations of Deep Learning. Each collaboration will conduct training through research involvement of recent doctoral degree recipients, graduate students, and/or undergraduate students from across this multi-disciplinary spectrum. Annual meetings of the Principal Investigators ("PIs") and other principal researchers involved in the collaborations will be held at the Simons Foundation in New York City. This program complements NSF's National Artificial Intelligence Research Institutes program by supporting collaborative research focused on the mathematical and scientific foundations of Deep Learning through a different modality and at a different scale.

The National Science Foundation (NSF), through its Divisions of Electrical, Communications and Cyber Systems (ECCS), Computing and Communication Foundations (CCF), Molecular and Cellular Biosciences (MCB), and Materials Research (DMR) announces a follow-up solicitation on the Semiconductor Synthetic Biology for Information Storage and Retrieval Program (SemiSynBio-II). Future ultra-low energy storage-based computing systems can be built on principles derived from organic systems that are at the intersection of physics, chemistry, biology, computer science and engineering. Next-generation information storage technologies can be envisioned that are driven by biological principles and use biomaterials in the fabrication of devices and systems that can store data for more than 100 years with storage capacity 1,000 times more than current storage technologies. Such a research effort can have a significant impact on the future of information storage and retrieval technologies. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts and enabling technologies that will address the fundamental scientific issues and technological challenges associated with the underpinnings of synthetic biology integrated with semiconductor technology. This research will foster interactions among various disciplines including biology, physics, chemistry, materials science, computer science and engineering that will enable in heretofore unanticipated breakthroughs.

The Electrochemical Systems program is part of the Chemical Process Systems cluster, which also includes: 1) the Catalysis program; 2) the Interfacial Engineering program; and 3) the Process Systems, Reaction Engineering, and Molecular Thermodynamics program. The goal of the Electrochemical Systems program is to support fundamental engineering research that will enable innovative processes involving electro- or photochemistry for the sustainable production of electricity, fuels, and chemicals. Processes for sustainable energy and chemical production must be scalable, environmentally benign, reduce greenhouse gas production, and utilize renewable resources. Research projects that stress fundamental understanding of phenomena that directly impact key barriers to improved system or component-level performance (for example, energy efficiency, product yield, process intensification) are encouraged. Processes for energy storage should address fundamental research barriers for the applications of renewable electricity storage or for transport propulsion. For projects concerning energy storage materials, proposals should involve hypotheses that involve device or component performance characteristics that are tied to fundamental understanding of transport, kinetics, or thermodynamics. Advanced chemistries are encouraged. Proposed research should be inspired by the need for economic and impactful conversion processes. All proposal project descriptions should address how the proposed work, if successful, will improve process realization and economic feasibility and compare the proposed work against current state of the art. Highly integrated multidisciplinary projects are encouraged.

NineSigma, representing a global electric motor manufacturer, invites proposals for a durable, high-temperature non-conductive coating for steel. In the manufacture of electric motors, NineSigma's client makes a rotor that consists of a stack of thin, die-stamped steel sheets with a die-cast aluminum squirrel cage.  It is important that the steel be electrically isolated from the aluminum.  NineSigma's client needs a durable non-conductive coating to apply to the steel assembly prior to die-casting the aluminum.  The coating must withstand temperatures associated with the die-casting process and with subsequent thermal cycling.

The U.S. Army Research Office (ARO) in partnership with the Intelligence Advanced Research Projects Activity (IARPA) seeks research and development of technology and techniques for energy-efficient, high data rate transmission of digital signals between computing systems operating at room and cryogenic temperatures. The focus in the SuperCables program is research and demonstration of components to convert from low level electrical signals in circuits operating at a temperature of approximately 4 kelvins to conventional optical signals at room temperature and to move the information therein from one environment to the other. Pending results of this program, IARPA may support a follow-on program to develop the complete system for bidirectional data transmission between room temperature and 4 kelvins.

he Electrochemical Systems program is part of the Chemical Process Systems cluster, which includes also 1) Catalysis; 2) Molecular Separations; and 3) Process Systems, Reaction Engineering, and Molecular Thermodynamics. The goal of the Electrochemical Systems program is to support fundamental engineering research that will enable innovative processes involving electro- or photochemistry for the sustainable production of electricity, fuels, and chemicals. Processes for sustainable energy and chemical production must be scalable, environmentally benign, reduce greenhouse gas production, and utilize renewable resources. Research projects that stress fundamental understanding of phenomena that directly impact key barriers to improved system or component-level performance (e.g., energy efficiency, product yield, process intensification) are encouraged. Processes for energy storage should address fundamental research barriers for the applications of renewable electricity storage or for transport propulsion

Although invention and proof-of-concept testing of new technologies are a key component of the BRAIN Initiative, to achieve their potential these technologies must also be optimized through feedback from end-users in the context of the intended experimental use. This seeks applications for the optimization of existing and emerging technologies and approaches that have potential to address major challenges associated with recording and manipulating neural activity, at or near cellular resolution, at multiple spatial and temporal scales, in any region and throughout the entire depth of the brain. This FOA is intended for the iterative refinement of emergent technologies and approaches that have already demonstrated their transformative potential through initial proof-of-concept testing, and are appropriate for accelerated development of hardware and software while scaling manufacturing techniques towards sustainable, broad dissemination and user-friendly incorporation into regular neuroscience practice. Proposed technologies should be compatible with experiments in behaving animals, and should include advancements that enable or reduce major barriers to hypothesis-driven experiments. Technologies may engage diverse types of signaling beyond neuronal electrical activity for large-scale analysis, and may utilize any modality such as optical, electrical, magnetic, acoustic or genetic recording/manipulation. Applications that seek to integrate multiple approaches are encouraged. Applications are expected to integrate appropriate domains of expertise, including where appropriate biological, chemical and physical sciences, engineering, computational modeling and statistical analysis.

Understanding the dynamic activity of neural circuits is central to the NIH BRAIN Initiative. This FOA seeks applications for proof-of-concept testing and development of new technologies and novel approaches for largescale recording and manipulation of neural activity to enable transformative understanding of dynamic signaling in the nervous system. In particular, we seek exceptionally creative approaches to address major challenges associated with recording and manipulating neural activity, at or near cellular resolution, at multiple spatial and/or temporal scales, in any region and throughout the entire depth of the brain. It is expected that the proposed research may be high-risk, but if successful could profoundly change the course of neuroscience research. Proposed technologies should be compatible with experiments in behaving animals, and should include advancements that enable or reduce major barriers to hypothesis-driven experiments. Technologies may engage diverse types of signaling beyond neuronal electrical activity for large-scale analysis, and may utilize any modality such as optical, electrical, magnetic, acoustic or genetic recording/manipulation. Applications that seek to integrate multiple approaches are encouraged. Where appropriate, applications are expected to integrate appropriate domains of expertise, including biological, chemical and physical sciences, engineering, computational modeling and statistical analysis.

The mission of the DOE FE Solid Oxide Fuel Cell (SOFC) program is to enable the efficient generation of low-cost electricity for (a) 2nd Generation natural gas-fueled SOFC DG systems and modular, coal-fueled systems and (b) Transformational coal or natural gas-fueled utility-scale systems with carbon capture and sequestration (CCS). The program supports the overarching goals of the Clean Coal and Carbon Management Research Program (CCCMRP) through the collaboration between the R&D that addresses the technical and economic barriers to commercial viability and the development and deployment of SOFC power systems that validate those solutions.

A central goal of the BRAIN Initiative is to understand how electrical and chemical signals code information in neural circuits and give rise to sensations, thoughts, emotions and actions. While currently available technologies can provide some understanding, they may not be sufficient to accomplish this goal. For example, non-invasive technologies are low resolution and/or provide indirect measures such as blood flow, which are imprecise; invasive technologies can provide information at the level of single neurons producing the fundamental biophysical signals, but they can only be applied to tens or hundreds of neurons, out of a total number in the human brain estimated at 85 billion. Other BRAIN FOAs seek to develop novel technology (RFA-NS-17-003) or to optimize existing technology ready for in-vivo proof-of-concept testing and collection of preliminary data (RFA-NS-17-004) for recording or manipulating neural activity on a scale that is beyond what is currently possible. This FOA seeks applications for unique and innovative technologies that are in an even earlier stage of development than that sought in other FOAs, including new and untested ideas that are in the initial stages of conceptualization.

1. Lithium-ion Battery Safety. Safety concerns continue to hamper full adoption of lithium-ion batteries for defense systems, despite significant research investments by the government and the private sector. This Defense initiative will advance promising lithium-ion battery safety technologies at university research laboratories into early laboratory prototypes and potentially minimum viable products for adoption by the defense and commercial sectors via early startups, small businesses and non-traditional defense contractors. Specific technical areas of interest include, but are not limited to, the following: improved electrolytes; stable high-energy anodes and cathodes; cell components and structures that enhance safety and reliability (e.g. use of electrode coatings and electrolyte additives); safety optimization through battery and battery module design and packaging; and battery management and state of health techniques that prevent and/or mitigate catastrophic failure. 2. Electrical Grid Reliability, Resiliency and Security. Both the defense and commercial sectors recognize the ever-growing criticality to enhance Electrical grid reliability, resiliency and security through innovation at the component and system levels.

1. Lithium-ion Battery Safety. Safety concerns continue to hamper full adoption of lithium-ion batteries for defense systems, despite significant research investments by the government and the private sector. This Defense initiative will advance promising lithium-ion battery safety technologies at university research laboratories into early laboratory prototypes and potentially minimum viable products for adoption by the defense and commercial sectors via early startups, small businesses and non-traditional defense contractors. Specific technical areas of interest include, but are not limited to, the following: improved electrolytes; stable high-energy anodes and cathodes; cell components and structures that enhance safety and reliability (e.g. use of electrode coatings and electrolyte additives); safety optimization through battery and battery module design and packaging; and battery management and state of health techniques that prevent and/or mitigate catastrophic failure. 2. Electrical Grid Reliability, Resiliency and Security. Both the defense and commercial sectors recognize the ever-growing criticality to enhance Electrical grid reliability, resiliency and security through innovation at the component and system levels. This Defense initiative will advance relevant Electrical grid innovations at university research laboratories into early laboratory prototypes and potentially minimum viable products for adoption by the defense and commercial sectors via early startups, small businesses and non-traditional defense contractors. Specific technical areas of interest include, but are not limited to, the following: advanced Electrical power generation, transmission and distribution hardware and software; physical cyber secured industrial controls hardware and software; effective control of microgrids supporting high-dynamic loads; Electrical grid protocols and controls to maintain secured operations of critical infrastructure under adverse conditions; hardening of e

SPIE is an international society that works to advance an interdisciplinary approach to the science and application of light. As part of its educational outreach mission, SPIE awards grants in support of optics- and photonics-related educational outreach activities. The society offers two kinds of grants: SPIE Education Outreach grants and Sustaining grants. 1) SPIE Education Outreach grants: Recipients of these grants are required to submit an annual outreach grant report to the society on how the grant was used within ninety days of completing the funded activity. Grant applications should include activities that have not been funded by a previous award. 2) Sustaining Grants: If a program has received an Education Outreach Grant twice in a period of five years, it can only apply for further support, up to a maximum of $2,000, through a Sustaining grant. There is no limit to the number of times a program can apply for a Sustaining grant, but it will be competing with all other proposals every time it applies. To eligible, applicants must be a nonprofit organization or education institution (e.g., university, optics center, science center, primary or secondary school, youth club, industry association, or international optical societies).

DARPA is soliciting innovative research proposals in the area of physical design of electronic circuits and systems. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. The Design thrust of the Electronics Resurgence Initiative (ERI): Page 3 Investments will address today's System-On-Chip (SoC) design complexity and cost barriers, creating the environment needed for the next wave of US semiconductor innovation. Programs within this thrust will develop the algorithms and software required to realize a unified layout generator that will enable fully automated "no human in the loop" physical design of SoCs, system-in-packages (SiPs), and printed circuit boards (PCBs) in 24 hours. In parallel, programs will create the building blocks, validation methodologies, and infrastructure required for a scalable open source hardware ecosystem, bringing best practices in software to hardware design.

The primary objective is to support scholarships for nuclear science, engineering, technology and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. The primary objective is to support fellowships for nuclear science, engineering, technology and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. The primary objective is to support faculty development for nuclear science, engineering, technology and related disciplines to develop a workforce capable of supporting the design, construction, operation, and regulation of nuclear facilities and the safe handling of nuclear materials. The grants specifically target probationary, tenure-track faculty during the first 6 years of their career and new faculty hires in the following academic areas: Nuclear, Mechanical, Civil, Environmental, Electrical, Fire Protection, Geotechnical, Structural and Materials Sciences Engineering as well as Health Physics. The program provides support to enable newer faculty to enhance their careers as professors and researchers in the university department where employed.

This FOA seeks applications for projects to design, construct, and operate large-scale pilots of transformational coal technologies aimed at enabling step change improvements in coal powered system performance, efficiency, and cost of electricity. The FOA will be carried out in three phases, with a down-select between phases. Phase I, Feasibility, will be aimed at supporting recipients' efforts to secure team commitments, including host sites and recipient cost share for Phase II, update the preliminary cost estimate and schedule for design, construction, and operation, and complete an environmental information volume. Projects selected for Phase II, Design, will complete a Front End Engineering Design study, secure construction-operation cost share funding, and complete the National Environmental Policy Act process. Finally, at least two projects will be selected for Phase III, Construction-Operation, which will support construction and operation of the large-scale pilot facilities. Any recipients proceeding to Phase III will be required to utilize domestic coal and/or domestic coal-derived fuels in the operation period. Applicants to Phase I who plan to primarily use other fuel sources during operations will be judged non-responsive. While only detailed Phase I applications are being solicited at this time, information relating to preliminary plans to carry out Phases II and III will be required to assess the potential viability of the overall project.

The goal of the Energy for Sustainability program is to support fundamental engineering research that will enable innovative processes for the sustainable production of electricity and fuels, and for energy storage. Processes for sustainable energy production must be environmentally benign, reduce greenhouse gas production, and utilize renewable resources. Research projects that stress molecular level understanding of phenomena that directly impacts key barriers to improved system level performance (e.g. energy efficiency, product yield, process intensification) are encouraged. Proposed research should be inspired by the need for economic and impactful conversion processes. All proposals should include in the project description, how the proposed work, if successful, will improve process realization and economic feasibility and compare the proposed work against current state-of-the-art. Highly integrated multidisciplinary projects are encouraged.

The Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) will consider proposals for collaborative funding with the Electric Power Research Institute (EPRI), the Water Environment & Reuse Foundation (WE&RF) [formerly the Water Environment Research Foundation], and/or the Water Research Foundation (WRF). For a proposal to be considered for collaborative funding, the proposal must be submitted to the appropriate NSF-CBET program as an unsolicited proposal during the CBET unsolicited submission window, which is October 1, 2016 - October 20, 2016. The same dates will apply in future years. Proposals will be reviewed as part of the unsolicited program(s). Proposals must follow guidelines for the CBET program to which they are submitted. Proposals will be evaluated according to the NSF criteria of intellectual merit and broader impacts.

The Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) will consider proposals for collaborative funding with the Electric Power Research Institute (EPRI), the Water Environment & Reuse Foundation (WE&RF) [formerly the Water Environment Research Foundation], and/or the Water Research Foundation (WRF). For a proposal to be considered for collaborative funding, the proposal must be submitted to the appropriate NSF-CBET program as an unsolicited proposal during the CBET unsolicited submission window, which is October 1, 2016 - October 20, 2016. The same dates will apply in future years. Proposals will be reviewed as part of the unsolicited program(s). Proposals must follow guidelines for the CBET program to which they are submitted. Proposals will be evaluated according to the NSF criteria of intellectual merit and broader impacts.