Award Data

This work will develop a real-time wildfire forecast system that automatically detects and forecasts the spread of every fire in the Continental US and updates each forecast in real-time as additional information becomes available. Fire forecast data, which are generated “in the cloud” using high performance computing resources, are transferred to a web server hosting a mobile-friendly web map ...

NanoElectronic Imaging, Inc. (NEI) is developing techniques for mapping signals in the transmission electron microscope (TEM) that are normally inaccessible. In this Phase I SBIR project, NEI will build on preliminary results to develop a quantitative, TEM-based topographic mapping technique with the potential for atomic resolution in all three spatial dimensions. This precision would be akin to a ...

We propose to demonstrate the feasibility of using a high-speed artificial intelligence (AI)-driven experimental platformto optimize the DNA template for cell-free protein synthesis (CFPS) to maximize protein expression. Our platform isdesigned to rapidly find an optimal DNA sequence among millions of possible sequences through repeated designbuild-test cycles: AI is used to design the DNA templat ...

Industrial facilities and power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing method developed in the 1960s, which are prone to error due to biases from human operators and any non-axial flow in a stack.NIST has been working on an improved technique of performing 3D flow testing f ...

NOAA's Big Data Project (BDP) has made several valuable datasets available on major cloud platforms. While a critical step, many organizations that would benefit from the data are not technologically capable of performing state-of-the-art machine learning. We propose to unlock the power of the data for those who can most benefit by developing technology that automatically trains deep learning mode ...

This project will create a proof-of-concept application that visualizes 3D NEXRAD data from NOAA's Big Data Project inside virtual reality (VR). By integrating unique processing and projection algorithms into low-cost VR headsets, this initiative will increase the accessibility of data to meteorologists, fire departments, and first responders during critical decision-making. During the recent Cal ...

High resolution deep ocean mapping has historically been a cost prohibitive endeavor for all but the most well-funded governments, companies, individuals, and institutions. It is limited by the acquisition and operational costs of the assets required. Fully autonomous solutions have the potential to dramatically lower the acquisition costs and increase access to the data. One of the key missing pi ...

Coral transplantation is a primary management option for rehabilitation of degraded reefs. Stabilization (via adhesion, etc.) of transplants on existing reef or artificial substrates notably improves their survival rate. Improved underwater adhesives are needed for expedient and convenient stabilization of coral transplants with improved survival rate. A new hybrid organic-inorganic adhesive is pr ...

The proposed device is a compact, portable and robust battery-powered analytical instrument for analysis of complex multicomponent mixtures of polycyclic aromatic hydrocarbons (PAHs) in shellfish. The device is based on principles of analytical gas chromatography (GC) and utilizes a novel highly-integrated multisensory detector. Implementation of a multisensory detector allows the device to colle ...

To address the NOAA’s need for cost-effective, highly reliable, readily deployable, platform-independent sensors and observing systems, Intellisense Systems, Inc. (ISI) proposes to develop the new Environmental and Oceanographic Measurement and Data (NOMAD) system based on a new design that utilizes previously developed mature components. Specifically, innovations in low-power and ultra-compact ...