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MiamiOH OARS

Mind, Machine and Motor Nexus | NSF - National Science Foundation - 0 views

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    The Mind, Machine and Motor Nexus (M3X) program supports fundamental research at the intersection of mind, machine and motor. A distinguishing characteristic of the program is an integrated treatment of human intent, perception, and behavior in interaction with embodied and intelligent engineered systems and as mediated by motor manipulation. M3X projects should advance the holistic analysis of cognition and of embodiment as present in both human and machine elements. This work will encompass not only how mind interacts with motor function in the manipulation of machines, but also how, in turn, machine response and function may shape and influence both mind and motor function.
MiamiOH OARS

Machine Learning in the Chemical Sciences and Engineering | Dreyfus Foundation - 0 views

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    The Dreyfus program for Machine Learning in the Chemical Sciences and Engineering, initiated in 2020, provides funding for innovative projects in any area of Machine Learning (ML) consistent with the Foundation's broad objective to advance the chemical sciences and engineering. The Foundation anticipates that these projects will contribute new fundamental chemical insight and innovation in the field.
MiamiOH OARS

Advanced Manufacturing - 0 views

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    The Advanced Manufacturing (AM) program supports the fundamental research needed to revitalize American manufacturing to grow the national prosperity and workforce, and to reshape our strategic industries. The AM program accelerates advances in manufacturing technologies with emphasis on multidisciplinary research that fundamentally alters and transforms manufacturing capabilities, methods and practices. Advanced manufacturing research proposals should address issues related to national prosperity and security, and advancing knowledge to sustain global leadership. Areas of research, for example, include manufacturing systems; materials processing; manufacturing machines; methodologies; and manufacturing across the length scales. Researchers working in the areas of cybermanufacturing systems, manufacturing machines and equipment, materials engineering and processing, and nanomanufacturing are encouraged to transcend and cross domain boundaries. Interdisciplinary, convergent proposals are welcome that bring manufacturing to new application areas, and that incorporate challenges and approaches outside the customary manufacturing portfolio to broaden the impact of America's advanced manufacturing research. Proposals of all sizes will therefore be considered as justified by the project description. Investigators are encouraged to discuss their ideas with AM program directors well in advance of submission at AdvancedManufacturing@nsf.gov.
MiamiOH OARS

Grants.gov - Find Grant Opportunities - Opportunity Synopsis - 0 views

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    The MPM program supports fundamental, hypothesis-driven research on the interrelationship of materials processing, structure, properties, performance and process control. Analytical, experimental, and numerical studies are supported, including novel processing methods for any materials system (metals, polymers, ceramics, hybrids, composites, etc.). Proposed research should include the consideration of cost, performance, and feasibility of scale-up, as appropriate. Research that address multi-scale and/or multi-functional materials systems is encouraged as is research in support of environmentally-benign manufacturing. Collaborative proposals with industry (GOALI) are encouraged. Research on micro-scale (and larger) processes is funded by the MPM program; research on processing at the submicron or nano scale is funded by the Nanomanufacturing (NM) program. Research on solid freeform fabrication processes is funded by the Manufacturing Machines and Equipment (MME) program, as are material removal process proposals such as cutting or grinding. Proposals that focus on research leading to new paradigms of material systems design should consider the Design of Engineering Material Systems (DEMS) program. Proposals that primarily focus on fundamental material composition-structure-property studies, where neither processing nor manufacturing plays a significant role in the proposed work, should be submitted to the Materials and Surface Engineering (MSE) program or to the appropriate program in the DMR division.Investigators wishing to serve on a proposal review panel should email the Program Director with a short biographical sketch, a list of areas of expertise and/or a link to their home page. REU/RET supplement requests should be submitted by March 31 each year.
MiamiOH OARS

US NSF - Dear Colleague Letter: Designing Materials to Revolutionize and Engineer our F... - 0 views

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    NSF is interested in activities that accelerate materials discovery and development by building the fundamental knowledge base needed to progress towards designing and making a material with a specific and desired function or property from first principles. Also of interest to NSF is research that seeks to advance fundamental understanding of materials across length and time scales to elucidate the effects of microstructure, surfaces, and coatings on the properties and performance of materials and devices. The DMREF goal is to control material properties through design: this is to be accomplished by understanding the interrelationships of composition, processing, structure, properties, performance, and process control. The approach envisioned to achieve this goal involves modeling, analysis and computational simulations, validated and verified through measurement, experimentation or device demonstration. This requires new data analytic tools and statistical algorithms; advances in predictive modeling that leverage machine learning, data mining, and sparse approximation; data infrastructure that is accessible, extensible, scalable, and sustainable; and new collaborative capabilities for managing large, complex, heterogeneous, distributed data supporting materials design, synthesis, and longitudinal study.
MiamiOH OARS

US NSF - Dear Colleague Letter: Cybermanufacturing Systems (nsf15061) - 0 views

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    The second major report of the President's Advanced Manufacturing Partnership (AMP), Accelerating U.S. Advanced Manufacturing, provides high-level recommendations for U.S. advanced manufacturing strategies, with emphasis on three manufacturing technology areas (MTAs): Advanced sensing, controls and platforms for manufacturing; Visualization, information, and digital manufacturing; and Advanced materials manufacturing. Detailed information on the recommendations for each MTA can be found in Annexes 1 through 10 of the AMP's report. Also of note are reports from the European Commission1 and industry2,3, which provide descriptions of advances in manufacturing, including leveraging of emerging information technologies. Consistent with the AMP's report, the evolution of manufacturing technology has arguably been most importantly dependent on the application of increasingly powerful and low-cost computation in manufacturing enterprises. NSF researchers are, and have been, actively engaged in pursuing fundamental advances in design theory and translation; real-time sensing and perception; data capture, representation, and analytics; machine architectures and human interfaces; materials and process modeling; scheduling and control algorithms; fault detection, analysis, and correction; and coordination of decisions across distributed production facilities that have led to the globally-connected, low-cost, flexible and resilient supply chains, computer-integrated factories, and digital design systems of the modern world. There is a general consensus about the increasingly important role of powerful, low-cost computation in manufacturing.
MiamiOH OARS

Condensed Matter and Materials Theory (CMMT) | NSF - National Science Foundation - 0 views

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    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.
MiamiOH OARS

Computational Materials Sciences - 0 views

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    The DOE SC program in Basic Energy Sciences (BES) announces its interest in receiving new and renewal applications in Computational Materials Sciences with the aim of producing widely applicable, validated community codes and the associated databases for the design of functional materials. Proposals must include plans for the utilization of DOE's Leadership Class Computing facilities including petascale, pre-exascale and future exascale machines. The research component should meet the standards and priorities of the BES research program as determined by BES community planning documents (see references below) and peer review.
MiamiOH OARS

Future Manufacturing (FM) (nsf20552) | NSF - National Science Foundation - 0 views

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    As stated in the Strategy for American Leadership in Advanced Manufacturing, worldwide competition in manufacturing has been dominated in recent decades by the maturation, commoditization, and widespread application of computation in production equipment and logistics, effectively leveling the global technological playing field and putting a premium on low wages and incremental technical improvements.[1] The next generation of technological competition in manufacturing will be dictated by inventions of new materials, chemicals, devices, systems, processes, machines, design and work methods, social structures and business practices. Fundamental research will be required in robotics, artificial intelligence, biotechnology, materials science, sustainability, education and public policy, and workforce development to take the lead in this global competition. The research supported under this solicitation will enhance U.S. leadership in manufacturing far into the future by providing new capabilities for established companies and entrepreneurs, improving our health and quality of life, and reducing the impact of manufacturing industries on the environment.
MiamiOH OARS

Future Manufacturing - 0 views

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    Asstated intheStrategy for American Leadership in Advanced Manufacturing,worldwide competition in manufacturing has been dominated in recent decades by the maturation, commoditization, and widespread application of computation in production equipment and logistics, effectively leveling the global technological playing field and putting a premium on low wages and incremental technical improvements.[1] The next generation of technological competition in manufacturing will be dictated by inventions of new materials, chemicals, devices, systems, processes, machines, design and work methods, social structures and business practices. Fundamental research will be required in robotics, artificial intelligence, biotechnology, materials science, sustainability, education and public policy, and workforce development to take the lead in this global competition. The research supported under this solicitationwillenhance U.S. leadership in manufacturing far into the future by providing new capabilitiesfor established companies andentrepreneurs,improving ourhealth and quality of life,andreducingthe impact of manufacturing industries on the environment.
MiamiOH OARS

Condensed Matter and Materials Theory | NSF - National Science Foundation - 0 views

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    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. First-principles electronic structure, quantum many-body and field theories, statistical mechanics, classical and quantum Monte Carlo, and molecular dynamics, are among the methods used in the broad spectrum of research supported in CMMT. Research may encompass the advance of new paradigms in materials research, including emerging data-centric approaches utilizing data-analytics or machine learning.
MiamiOH OARS

Sony Research Award Program | Sony US - 0 views

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    Solid research is the underlying driving force to crystallize fearless creativity and innovation. While we are committed to run in-house research and engineering, we are also excited to collaborate with academic partners to facilitate exploration of new and promising research. The Sony Focused Research Award provides an opportunity for university faculty and Sony to conduct this type of collaborative, focused research. The award provides up to $150K USD* in funds, and may be renewed for subsequent year(s). A list of candidate research topics appears below: - Manipulation Secure Image Sensing - Self-Supervised Learning for Spiking Neural Networks with Event-Based Vision Sensor - Deep Learning & Deep Fusion Towards Automotive Scene Perception - Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision - Robust Mesh Tracking for Volumetric Capture - Advanced Image Processing Enabled by AI - Novel Actuator - Machine Learning/AI for Wireless Communications - Reconfigurable Reflector Type Materials - Individual Treatment Effect Estimation - Acoustic Metamaterials - Novel Technologies for GaN-based VSCELs - Intelligent Sensing of Patient-Reported Outcomes
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