Award Data

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to enable broad use of inorganic micro light emitting diode (microLEDs) in displays through a new manufacturing process. MicroLEDs are used for ultra-high resolution vivid displays for many consumer electronics applications ranging from hand-held devices to large area displays, but they req ...

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to open new orbital flight regimes to CubeSat and microsatellite vehicles. Vehicles of these size classes are currently constrained by the lack of suitable propulsion options or additional regulatory burdens that most propulsion systems levy on rideshare vehicles. Most small satellites in L ...

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project is development of a disinfectant spray to curb the transmission of SARS-CoV-2 via contact with contaminated surfaces. COVID-19 transmission occurs primarily via respiratory droplets produced by an infected person and by contact with a surface where a droplet containing the virus exists. Mitigating inf ...

The broader impact /commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to leverage artificial intelligence (AI) to reduce errors and improve accuracy, standardization, agreement, and reporting in evaluation of COVID-19 lung disease severity on chest computed tomography (CT) images. Chest CT procedures play a critical role in COVID-19 patients but current meth ...

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase II project will enable collaboration with sensitive data. This will increase the ability of companies and institutions in sensitive domains, including biomedicine, to apply existing machine learning models and increase their ability to train new, more sophisticated models, thereby improving insights for ...

Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

Summary The recent proliferation of next-generation sequencing (NGS) - based methods for the analysis of gene expression, chromatin structure and protein-DNA interactions has created tremendous opportunities for gaining novel insights into basic biology, health, and disease. However, analysis of the resulting data requires computational expertise that many traditional biologists do not possess. He ...

High Temperature Superconducting (HTS) materials have excellent mechanical and electrical properties that are attractive for various applications such as power cables and high field, high current superconducting magnets, particularly playing a key role in the commercialization of fusion energy machines. However, HTS materials have very slow normal zone propagation velocities (NZPV) (2-3 orders of ...

Idaho National Laboratory (INL), under funding from the Critical Materials Institute(CMI), has developed a US patented technology to reclaim valuable metals from waste electronic equipment. The Electrochemical Recycling Electronic Constituents of Value (E-RECOV) method uses an electrochemical cell to efficiently recover the bulk of metals from discarded electronics, leading to more complete recycl ...

Currently spark ignition (SI) engines dominate the light vehicle market, with over 80 million light vehicle engines made worldwide. These SI engines experience exceptionally poor efficiency at low to medium loads and speeds, making it difficult to meet new fuel efficiency standards expected to be imposed in many countries. Low wall temperatures at the end of the combustion process leads to emissio ...