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Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
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.
Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.
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.
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.
QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.
Neutron beams are used around the world to study materials for various purposes.
High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.