Attractive metal-metal bonding occurs in a variety of molecules made of metallic atoms such as Iridium (Ir). These molecules ...

Natural disasters such as earthquakes, landslides, floods, and hurricanes have increased in frequency and intensity due to climate change, urban expansion, ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool ...

Polynomial integration is a fundamental principle in calculus with numerous applications in various fields like engineering, ...

Attractive metal-metal bonding occurs in a variety of molecules made of metallic atoms such as Iridium (Ir). Current ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective ...

A recent study has demonstrated the benefits of using 3D printing to make headlight lenses. The results highlight the ability ...

In addition, the subject also includes verification and software testing for these numerical methods. you´ll know some of the ... Students enrolled in other Master's Degree Programmes can, on ...

Researchers investigated the microwave heating characteristics in a single-mode microwave system by using Multiphysics ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

With the increase in climate change, global precipitation estimates have become a necessity for predicting water-related ...