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A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.
The hybrid powder-encapsulated solvent over comes carbon capture challenges by providing a solution for easy handling of a non-toxic solid that is non-volatile and stable upon alternative energy regeneration methods.
Polarization drift in quantum networks is a major issue. Fiber transforms a transmitted signal’s polarization differently depending on its environment.
Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.
Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.
This technology allows for the utilization of butanediol isomers to form a range of C4 oxygenated compounds as renewably sourced feedstocks for fuels and chemicals production in a range of industrial applications.
The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.
Lean-burn natural gas (NG) engines are a preferred choice for the hard-to-electrify sectors for higher efficiency and lower NOx emissions, but methane slip can be a challenge.
QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.
Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.