Recently, machine learning potential (MLP) largely enhances the reliability of molecular
dynamics, but its accuracy is limited by the underlying ab initio methods. A viable approach …

Capturing the correct dynamics at the Coarse-Grained (CG) scale remains a central
challenge in the advancement of systematic CG models for soft matter simulations. The …

Accurately predicting wave-structure interactions is critical for the effective design and
analysis of marine structures. This is typically achieved using solvers that employ the …

As the demand for efficient data processing escalates, reconfigurable analog hardware
which implements novel analog compute paradigms, is promising for energy-efficient …

L'elaborato propone una breve introduzione alle neural ordinary differential equations. Esso
si compone di un'introduzione ai feedforward neural networks, passando per la definizione …