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- Anees Alnajjar
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The eDICEML digital twin is proposed which emulates networks and hosts of an instrument-computing ecosystem. It runs natively on an ecosystem’s host or as a portable virtual machine.

Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.

Understanding building height is imperative to the overall study of energy efficiency, population distribution, urban morphologies, emergency response, among others. Currently, existing approaches for modelling building height at scale are hindered by two pervasive issues.

Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.

Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.

Neutron beams are used around the world to study materials for various purposes.
