Award Data

Compact chip-scale nano-NMR sensors to measure D/H ratio in water of outer planets based on atomistic defects in semiconductors will have orders of magnitude improved sensitivity compared to classical NMR instruments.nbsp;nbsp;Our sensors will be able to detect D/H ratio in reduced sample size as the magnetic fields generated by small samples are too small for traditional sensors to detect. Micros ...

All-electrical chip-scale atomic magnetometers based on spin-coherent transport effects through atomistic defects in semiconductors will have orders of magnitude improved sensitivity if the semiconductor hosts are isotopically purified and related device parameters optimized. Current all-electrical chip-scale atomic magnetometers have room-temperature sensitivities ~400 nT/root-Hz, and the propose ...

Elevated temperatures observed in urban areas have significant implications for human health, energy consumption and infrastructure reliability, and their negative effects disproportionately impact disadvantaged populations. Increasing scientific and practical understanding of urban heat islands is an important step in identifying those regions at elevated risk, and effective mitigation strategi ...

Environmental monitoring and forecasting for marine, coastal and terrestrial environments plays a critical role in informed decision making for a wide range of stakeholders in government and regulatory agencies, private industry, and the scientific community. The need for high-quality rapid data and analytics is becoming increasingly important in the face of a changing climate, which threatens to ...

All-electrical chip-scale atomic magnetometers based on spin-coherent transport effects through atomistic defects in semiconductors will have orders of magnitude improved sensitivity if the semiconductor hosts are isotopically purifiedand related device parameters optimized. Current all-electrical chip-scale atomic magnetometers have room-temperature sensitivities ~400 nT/root-Hz, and the proposed ...

High-resolution images from satellites and airplanes have become ubiquitous in the current digital landscape, and readily available to the public. In recent years, deep learning approaches, and in particular deep convolutional neural networks have revolutionized computer vision. Such deep learning models thrive with an abundance of data, creating enormous potential at the nexus of computer vision ...

We propose an innovative yet straightforward approach to developing and delivering a readily deployable product to support combating IUU. We combine newly available low-cost hyperspectral sensors with state-of-the-art deep learning-based real-time data processing and deploy it on high-availability commodity cloud computing hardware - our solution is compatible with both existing systems as well as ...

High pressure (HP) cold spray (CS) is superior to low pressure cold spray and will be developed into an additive manufacturing method for GRCop-42 with the means of gradually transitioning to another material.HP CS is a solid-state method that creates deposits with low porosity, high strength, and compressive residual stresses, avoiding problems from melting and resolidification of feedstock such ...

This project will fully develop NEWTON-AR, an augmented reality (AR) application-based engineering, computer science, and STEM puzzle game for children in kindergarten to grade three. Intended for use in classrooms, after-school programs, and at home, NEWTON-AR will combine AR, engineering, simulation, making, and programming into a sandbox game where students create, modify, simulate, prototype, ...

Marine life entanglement is one of the critical permitting issues that is currently constraining the growth of domestic offshore aquaculture. Synthetik Applied Technologies is proposing to develop a low-cost entanglement detection system for offshore aquaculture operators. The system will use a combination of near real-time satellite imagery, intelligent on-site cameras (both above and below the w ...