Computational Modeling of Failure at the Fabric Weave Level in Reentry Parachute Energy ModulatorsEnergy modulators (EM) are textile ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Abstract: Deep neural networks based on physical information are expected to be effective alternatives to numerical electromagnetic solvers because they can efficiently solve Maxwell’s equations and ...

Abstract: This paper presents a proof-of-concept digital twin designed to enhance industrial process monitoring and maintenance through real-time and bidirectional communication. The integrated ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...