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NSWC Crane is interested in receiving research proposals in the following areas:a. 3-Dimensional Modeling, Simulation, and Visualization for Identifying Reliability Drivers and Aiding in Corrective ActionsNaval Surface Warfare Center, Crane Division is interested in receiving proposals for the development of 3-D models and simulation approaches, which incorporate finite element analysis, fatigue analysis, and/or deep learning methods, to identify component, and ultimately system, lifetimes. These lifetime predictions should be based on the combination of mechanical and chemical aging of materials in operational environments. They should also encompass interactive materials effects. Lastly, the predicted failures sites within a component or system should be presented via a virtual and/or augmented reality visualization techniques. These visualization mechanisms are intended to allow field operators to analyze the results in an intuitive way and implement maintenance schedules and/or corrective actions.b. Investigating Radiation Effects in Quantum Information Technologies Naval Surface Warfare Center Crane Division is interested in receiving proposals for the investigation of radiation effects in critical components used in quantum information systems. For quantum information technologies to be effectively implemented in real world conditions beyond the lab, susceptibility to various forms of radiation must be characterized. To date, little is known regarding the impacts of various forms of radiation on these systems and whether these concepts are even capable of enabling improved operations in a high radiation environment. Robust efforts, therefore, are required to develop the scientific understanding of radiation effects in qubit architectures, as well as the integrated photonic structures that are used to generate and manipulate entangled photons. Qubit architectures that will be implemented in future quantum computers are still under intense investigation. There are many physical implementations of qubits. Several implementations, however, are gaining popularity for use in large-scale quantum computation. Those include, but not limited to, superconducting Josephson junctions (JJs), supercooled trapped ions, semiconductor-based quantum dots, nitrogen vacancy centers in diamond and silicon carbide divacancies. Although research into qubit architectures is still ongoing, now is the time to understand potential vulnerabilities caused by radiation exposure. Thus, providing timely technical leadership that will enable the R&D community to undertake efforts to improve qubit resiliency in such environments. In addition to the development of qubit architectures utilizing low-temperature physical phenomenon, researchers have begun realizing chip-scale approaches for generating photon entanglement utilizing integrate silicon photonics. Despite major advancements, little is known about the susceptibility of these chip-based photonic quantum systems to radiation such as gamma rays and high-energy electrons. As is the case with optical fibers, ionizing radiation can damage the semiconductor’s crystalline lattice, as well as change the index of refraction by modifying the doping concentration via generation of free carriers. Further basic research is required to understand susceptibility of chip-based photon entanglement and quantum correlation measurements to radiation induced single event upsets, as well as long-term exposure (total ionizing dose). NSWC Crane is interested in basic research efforts that advance scientific understanding of radiation susceptibility in various qubit architectures, as well as integrated photonic platforms. c. High optically transparent coating for electromagnetic interference (EMI) protection Naval Surface Warfare Center, Crane Division is interested in receiving proposals for the development of a transparent optical coating capable of providing electromagnetic interference (EMI) protection. To achieve this EMI level of protection the coating needs to have a sheet resistance of <20 Ohms/sq. Current EMI coatings typically comprise of indium tin oxide (ITO) which allows the coating to meet this low sheet resistance as well as be optically transparent. The drawback of ITO is its lower optical transmission across the spectrum of visible through short-wave infrared wavelengths. We seek novel approaches beyond existing ITO for materials with the same sheet resistance but with an optical transmission >97% from 400 nm to 1600 nm and a reflectance <1.5% on the same wavelength range. The solution needs to adhere and be compatible with either fused silica or n-BK7 glass. Solution may be either passive or active (i.e. needs power); however, active solutions will be evaluated based on power usage comparable to the platform’s aperture and existing power draw.d. Spectrum Machine LearningThe Navy deploys multiple spectrum sensing systems continuously on air, sea, and submarine assets. There is a desire to use machine learning techniques to allow these sensors to more quickly and efficiently understand the signals they receive in order for sailors to maintain a better awareness of their environment. Machine Learning has proven itself in other domains such as image processing, audio processing, and text processing as a powerful tool for pattern recognition, anomaly detection and other applications. Specific research proposals in the following areas would begin to develop the underlying technology needed for the Navy to address the complicated spectrum environment expected in the future:-Signal identification: modulation, type, fine details in physical transmitter or channel-Signal separation: ability to separate signals that are coincident with each other in time and frequency to achieve reception of both-Spectrum information compression: compression of information in the spectrum to retain salient properties using significantly less storage than required for a Nyquist sampled record-Anomaly detection: finding signals new to an environment or similar to existing signals in the environment but slightly modified-The use of multiple sensors to accomplish any of the above: the amount of information needing to be shared must be considered
Funding Opportunity Number: CRANBAA20-0001. Assistance Listing: 12.300. Funding Instrument: G. Category: ST. Award Amount: $240K – $2M per award.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants: Public and State controlled institutions of higher education; Private institutions of higher education. Confirm the full requirements in the official notice before applying.
The current listing shows $240K – $2M per award. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was March 4, 2020, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Yes — Naval Service Warfare Center (NSWC) Crane Office-Wide is offered by NSWC CRANE - N00164 and this listing comes from Grants.gov, an official U.S. federal source. Federal applications generally require registrations (for example SAM.gov or an agency submission portal), so allow extra lead time.
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Long Range Broad Agency Announcement (BAA) for NSWC Crane is sponsored by NSWC CRANE - N00164. This announcement seeks revolutionary research ideas, and technology demonstrators that offer potential for advancement and improvement of NSWC Crane’s primary mission areas. NSWC Crane is a field activity of the Naval Sea Systems Command.
This announcement seeks revolutionary research ideas, and technology demonstrators that offer potential for advancement and improvement of NSWC Crane’s primary mission areas.NSWC Crane is a field activity of the Naval Sea Systems Command. NSWC Crane supports a wide range of government agencies in the interest of national security. NSWC Crane may publish BAAs and other solicitations in response to specific needs. This BAA is issued to seek innovative solutions and ideas for topics not covered via other means. It is strongly encouraged that potential proposers review existing NSWC Crane solicitations to avoid duplication of effort and to contact the identified points of contact for each BAA topic to discuss specific details of the needs.The mission of NSWC Crane is to provide research, development, test and evaluation, acquisition engineering, in-service engineering and technical support in its assigned technical capabilities for the United States Navy, Department of Defense components and agencies, and other federal agencies and components engaged in national security. NSWC Crane also works to apply component and system-level product and industrial engineering to surface sensors, strategic systems, special warfare devices and electronic warfare systems, as well as to execute other responsibilities as assigned by the Commander, Naval Surface Warfare Center.The focus of NSWC Crane is “Harnessing the Power of Technology for the Warfighter.” Crane specializes in total lifecycle support in three broad focus areas: Expeditionary Warfare, Strategic Missions, and Electronic Warfare, which support ten assigned technical capabilities (TCs) listed below.1. Electronic Warfare (EW)2. Infrared and Pyrotechnic Countermeasures3. Strategic Systems Hardware4. Expeditionary Warfare and Systems5. Advanced Electronics6. Sensors and Surveillance Systems7. Hypersonic Weapon Systems8. Power and Energy Systems9. Electro-optic and Infrared Technologies10.Force level EW Mission Analysis, Advanced Concepts and TechnologiesWithin each of the TCs, there are multiple thrust areas, which present considerable opportunities for innovative research and solutions to support national security imperatives. There is intentional overlapping space within the listed TC such that a potential technology or research idea may support multiple TCs. Any proposal should list the principal TC as well as any adjunct TCs that should be considered. Proposals that support multiple TCs are strongly desired but not necessary. Funding Opportunity Number: N0016424SNB35. Assistance Listing: 12.335. Funding Instrument: G. Category: ST.
Young Investigator Program (YIP) is sponsored by Office of Naval Research (ONR). The ONR Young Investigator Program (YIP) seeks to identify and support academic scientists and engineers who are in their first or second full-time tenure-track or tenure-track-equivalent academic appointment, who have received their doctorate or equivalent degree in the past seven years, and who show exceptional promise for doing creative research. The program aims to attract outstanding faculty members to the Department of the Navy's Science and Technology (S&T) research program, support their research, and encourage their teaching and research careers. Awards are made to institutions, not individuals, but individuals must submit proposals through their university officials. The program supports a broad range of naval-relevant research topics, including coastal forecasting, machine learning, additive manufacturing, autonomous operations, advanced sensors, dexterous robotics, hypersonics, decision superiority, ocean acoustics, ultrafast lasers, and advanced composites.
Office of Naval Research (ONR) Fiscal Year 2027 Young Investigator Program for Early-Career Machine Learning, Autonomy and Robotics Faculty is sponsored by Office of Naval Research (ONR). This program supports early-career researchers at U.S. universities with research focused on machine learning, autonomous operations, and dexterous robotics, advanced sensors, and decision superiority.