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Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...

Computational tools have taken the lead in many areas of Life Science research. Molecular dynamics (MD) simulations, combined with Machine and Deep Learning, are paving the way to answer scientific ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...