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Dispersion models provided by the ARQA team support the processing and quality assurance of meteorological data for use in environmental compliance modeling. In addition, climate data processing is a key contributor to national and international research efforts related to global climate change.

The CSFM team performs independent integrity assessments of engineering structures using computational methods. They specialize in probabilistic risk assessments, as well as in defect assessments and predictions of probability of failure of engineering structures due to the presence of defects. The team has extensive experience in the analysis of ferritic and austenitic steels, including welds and weld heat-affected zones for domestic and international nuclear power plants and performs independent reviews of probabilistic leak-before-break for piping systems of different materials in nuclear power plants. Since the late 1960’s, the CSFM team at ORNL has provided the technical bases and computational tools to the US Nuclear Regulatory Commission’s office of Nuclear Regulatory Research (USA NRC-RES) and are positioned to offer a wide and varied suite of software tools and analysis services, backed by strong and credible research products that are well documented in technical publications.

Qubits must typically be kept isolated and very cold to minimize interactions with the external environment. These interactions lead to qubit decoherence - essentially loss of quantum information - and adversely affect the efficiency of quantum computing schemes. However, it may be possible to not only control these environmental interactions, but harness them in a constructive manner that results in entanglement, versus destroying it. The result is a scalable, more efficient, quantum computing platform that doesn't require cryogenics to operate.

Reducing the propagation loss, while increasing electric field confinement, is a major goal of nanophotonics for future high bandwidth, high processing speed computational requirements. However, in the current state-of-the-art metal waveguides, the propagating signal suffers restrictive limiting losses as the size of the components are reduced to the nano-scale regime. In this project we seek to exploit the propagation of surface plasmon nanojets on nanostructured thin films in order to reduce propagation losses while retaining field confinement. This improvement will allow advances into future nanophotonic-based computational platforms that will leapfrog Moore’s Law.

The Beholder system is a software client / server system that detects intrusion by monitoring the real-world execution time of critical kernel-level operations. Beholder was designed for use with critical infrastructure systems, especially in the power grid.

Hyperion is a software system for static analysis of compiled software, enabling the detection of undesirable behavior or the demonstration of correct behavior.

An effective tool for managing and sharing documents and data is needed to effectively support spent fuel activities.

ORNL is developing quantum information tools to help secure the electric grid. Researchers are working to extend the range and reduce the cost of quantum key distribution.

This project will improve our understanding of the dynamic interactions between social and physical networks that make up cities. It uses household level energy consumption and infrastructure records, neighborhood level communication records, digital trace data, and a range of remotely sensed data to quantify relationships between urban infrastructure systems and social structures within that urban environment. This empirical research is necessary to support the next generation of models exploring climate change impacts and resource supply security of cities now and in the future.