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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, particulate and multiphase processes, combustion and fire systems, and thermal transport 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 laboratories and academic-commercial teams are eligible to apply.

The National Science Foundation's Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE) are coordinating efforts to identify bold new concepts to significantly improve the efficiency of radio spectrum utilization while addressing new challenges in energy efficiency and security, thus enabling spectrum access for all users and devices, and allowing traditionally underserved Americans to benefit from wireless-enabled goods and services. The SpecEES program solicitation (pronounced "SpecEase") seeks to fund innovative collaborative team research that transcends the traditional boundaries of existing programs.

This Funding Opportunity Announcement (FOA) intends to accelerate the integration and use of scalable technologies and tools to enhance and reinvigorate brain cell census research, including the development of technology platforms and/or resources that will enable a swift and comprehensive survey of brain cell types and circuits. Of particular interest are those that will (a) improve technology and resource platforms to remove limitations and bottlenecks in the current pipeline of brain cell census data generation; (b) integrate experimental and computational methods to enhance capabilities of cell census data generation and analysis and to reduce barriers to hypothesis-driven research; (c) generate a substantial amount of spatiotemporal cell census data and/or resources to demonstrate the utility of the improved technology and resource platforms; and (d) conduct comparative studies by using proper criteria to evaluate and benchmark quality of biospecimen, performance of cell census tools/technologies, and effectiveness of computational approaches. The projects funded under this FOA will align with the overarching goals of the BRAIN Initiative Cell Census Network (BICCN) and are expected to generate a substantial amount of cell census data using the proposed technologies or via collaboration with the BICCN.

Complete information, including the full FOA, can be found on the EERE Exchange website at https://eere-exchange.energy.gov. This Funding Opportunity Announcement (FOA) will fund research that can enable significant reductions in the lifetime costs of power electronics (PE) for solar photovoltaic (PV) energy that align with meeting the SunShot 2030 goals, and likewise enable versatile control functionalities to support grid integration of solar PV for enhanced grid services. Power electronics technology is fundamental for renewable energy systems, and especially for solar PV as the critical link between solar PV arrays and the electric grid. In comparison to the state of the art, the SunShot Initiative seeks to fund early-stage solar PE research projects to enable the following objectives: 1) Lower the lifetime cost of residential, commercial, and utility-scale solar PV inverter/converter solutions; 2) Develop innovative modular, multi-purpose solar PV power electronics designs that offer enhanced services for improved lifetime value and lower grid integration costs.

The overall goal of the Three Dimensional Monolithic System-on-a-Chip (3DSoC) program is to develop 3D monolithic technology that will enable > 50X improvement in SOC digital performance at power. 3DSOC aims to drive research in process, design tools, and new compute architectures for future designs while utilizing U.S. fabrication capabilities. The goal of the Foundations Required for Novel Compute (FRANC) program is to define the foundations required for assessing and establishing the proof of principle for beyond von Neumann compute architectures. FRANC will seek to demonstrate prototypes that quantify the benefits of such new computing architectures.

NCATS plans to support the research, development and testing of up to three biomedical reasoning tool prototypes for the Biomedical Data Translator for an estimated $1,000,000 total costs each. NCATS is utilizing a three-step application process (challenge-concept-proposal) for this expedited program. The duration of each award will be less than one year. All awardees will be expected to collaborate and cooperate with NCATS staff, one another and potentially other contributors to the overall program to maximize the exploration of the potential capabilities of Translator and to understand technical feasibility and challenges of having multiple groups build a single resource. All U.S. and foreign organizations and U.S. citizens are eligible to apply. This funding opportunity is open to U.S. and foreign organizations, including academic institutions and commercial entities; subcontracts are allowed. U.S. citizens may also apply as individuals and may be direct recipients of an award. Non-citizen individuals residing in the U.S. or foreign country not affiliated with either a U.S. or foreign organization are not eligible to be direct recipients of an award. Successful completion of the application process will require applicants to have specific skills related to translational research and software development. Applicants need to demonstrate technical skills, including familiarity with web communication protocols, a variety of programming languages and software stack, and general algorithmic techniques in the areas of artificial intelligence, machine learning, and knowledge engineering, as well as problem solving skills, especially creativity and persistence. Applicants familiar with languages and packages most useful for solving different tasks, the entire challenge process may take between 2 and 8 hours to complete.

Amendment 000002 to DE-FOA-0001730 - This Amendment is to embed a revised, fillable Budget Justification Form (as per Section IV. Applications and Submission Information, part C. Content and Application) in order to supersede an unnavigable/corrupt Form previously utilized. Amendment 000001: The purpose of the previous Amendment was to increase the total Estimated Funding of this Funding Opportunity and increase the Anticipated Award Size Range for Topic Area 6 from $350,000 to $600,000. The Period of Performance for Topic Area 6 is also revised from 24-36 months to 36 months. Appropriate changes have been made within this FOA under Section II - Award Information. The objective of this FOA is to solicit and competitively award university-based R&D projects that address and resolve scientific challenges and applied engineering technology issues associated with advancing the performance and efficiency of combustion turbines in combined cycle applications (e.g., IGCC/NGCC) in fossil fuel power generation. The FOA will seek to solicit and competitively award laboratory/bench-scale R&D in the following six technical topic areas: 1) Low-NOx Combustion Technology Development for 'Air-Breathing' Advanced Turbines 2) Advanced Cooling Technology Development for 'Air-Breathing' Advanced Turbines 3) Advanced Materials Technology Development for 'Air-Breathing' Advanced Turbines 4) Big Data Analytics 5) Advanced Instrumentation 6) Pressure Gain Combustion

The Information Directorate of the Air Force Research Laboratory (AFRL/RI), Rome Research Site, is soliciting white papers under this announcement for innovative technologies to enable the effective management of information for military operations. Focus: The objective of this BAA is to develop and demonstrate middleware to bridge the tactical and enterprise domains, realizing decentralized IM services built upon client-based protocols for use at the tactical edge that can coexist and interoperate securely with the server-based IM services that are well-suited for deployment in enterprise-scale environments. To improve the exchange of information between enterprise and the tactical edge networks and applications, these services need to be capable of operating in contested/congested environments and be built upon disruption and fault tolerant techniques and technologies. The research and development to be conducted under this BAA is focused on the following: 1) Interoperable hybrid centralized & decentralized IM services designed for mobile operations. 2) Gateways for the exchange of heterogeneous information across disparate networks. 3) Disruption tolerant information preservation, optimized delivery, and synchronization. 4) Demonstration of the utility of these capabilities in operationally relevant environments.

CMMT supports theoretical and computational materials research in the topical areas represented in DMR's Topical Materials Research Programs (these are also variously known as Individual Investigator Award (IIA) Programs, or Core Programs, or Disciplinary Programs), which include: 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.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 materials and states of matter, and to reveal new materials 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.

The purpose of this Request for Information (RFI) is to seek information from developers and manufacturers of gasifier equipment, power generation equipment manufacturers, utilities, power plant architects and engineers, and other stakeholders that can be used as input to a U.S. Department of Energy (DOE) Office of Fossil Energy (FE) research and development (R&D) program for versatile gasification technology for modular or small-scale conversion/consumption of a wide range of feedstocks, including coal, biomass, municipal solid waste (MSW), energetic materials and munitions, and other opportunity feedstocks. Modular implementations of gasification imply unit sizes of approximately 1 to 5 MWe equivalent, while applications for the syngas produced could range from power generation to fuels synthesis and beyond. Modular gasification implementations or systems are expected to find a place in the market through high efficiency, thoughtful integration of system components, and reduction of costs. For example, combined heat and power (CHP) applications of modular gasification technology would enable higher overall efficiencies and diversity of product value.

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering research and contribute to the Nation's overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers' abilities to lead the development of new CI; and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven science and engineering into the Nation's educational curriculum/instructional material fabric spanning undergraduate and graduate courses for advancing fundamental research. Pilot and Implementation projects may target one or both of the solicitation goals, while Large-scale Project Conceptualization projects must address both goals. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that collectively enable potentially transformative fundamental research.

The Client aims at establishing automatic and labor-saving inspection system of subsea facilities by introducing robots. Currently, underwater robots are navigated and controlled by transmitting signals, via cables, from the ships. This wire communication method limits operating area of robots and can be susceptible to troubles, such as cable tangling and destabilization of robotic performance by the influence of tidal currents. In addition, acoustic communication is utilized for detecting locations of robots, but its transmission speed and quality are not competent.   Optical wireless communication technology has potential for high-speed and high-capacity communication under the sea, therefore the Client expects it can improve underwater operation and control of robots dramatically. By building medium- to long-term partnership with organizations that possess these technologies, the Client aims to establish embeddable wireless communication technology between robots under the sea as their initial target.   Furthermore, establishment of communication technology capable of navigation signal transmission to underwater robots from an onshore / offshore base (i.e. from a ship) is their ultimate target.

The Divisions of Chemical, Bioengineering and Environmental Transport (CBET) and Civil, Mechanical, and Manufacturing Infrastructure (CMMI) in the Engineering Directorate of the National Science Foundation (NSF) are partnering with The Center for the Advancement of Science in Space (CASIS) to solicit research projects in the general fields of tissue engineering and mechanobiology 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 laboratories and academic-commercial teams are eligible to apply.

The purpose of this engineering-oriented funding opportunity announcement (FOA) is to encourage submissions of exploratory/developmental Bioengineering Research Grant (EBRG) applications to demonstrate feasibility and potential utility of new capabilities or improvements in quality, speed, efficacy, operability, costs, and/or accessibility of solutions to problems in basic biomedical, pre-clinical, or clinical research, clinical care delivery, or accessibility.

The Epigenetic CHaracterization and Observation (ECHO) program will utilize an individual's epigenome to reveal their history of exposure to weapons of mass destruction (WMD) and WMD precursors. The program will build a field-deployable platform capable of using the epigenome to diagnose biothreat exposures and infections and support military forensics operations to counter-WMD proliferation.

The purpose of this Funding Opportunity Announcement is to seek cost-shared projects for the research and development activities to further the utilization of cost-effective, highly efficient combined heat and power. Information on where to submit questions regarding the content of the announcement and where to submit questions regarding submission of applications is found in the full FOA posted on the EERE Exchange website.

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.

The Defense Sciences Office (DSO) at the Defense Advanced Research Projects Agency (DARPA) is seeking participants for a pilot program designed to utilize modern connectivity to rapidly develop promising basic research pathways and then efficiently develop basic research proposals. DSO's intent is to fund some of the research proposals resulting from this pilot program. As with other recent DARPA/DSO opportunity announcements, the intent of this program is to deliver research proposals that seek to investigate innovative approaches to enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.

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. 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 FOA 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. Also listed under R01