Enrique Rico Ortega and Sofia Vallecorsa explain how quantum computing will allow physicists to model complex dynamics, from ...

The success of a molecular dynamics simulation depends on the accuracy of the force field used to define the atomic interactions. It is challenging to train both classical and modern machine-learning ...

A new technical paper titled “Multiscale Simulation and Machine Learning Facilitated Design of Two-Dimensional Nanomaterials-Based Tunnel Field-Effect Transistors: A Review” was published by ...

We are excited about the articles published on this Research Topic, “Electromagnetic field theories of consciousness: opportunities and obstacles,” appearing here for the first time as a Research ...

Recent decades have seen rapid advances in the field of electrical engineering, such that our environment has become a sea of electrical and magnetic signals, raising questions about the possible ...

Based on this, modeling and simulation of transformer multi-point grounding, DC bias, and short-circuit between silicon steel sheets fault are first carried out in this paper, and vibration and noise ...

Transformer core excitation characteristics are directly related to transformer operating conditions and life losses, and different core characteristics produce different spatial electromagnetic field ...

Numerical simulation of temperature field of converter transformer based on electromagnetic-flow-heat coupling field Abstract: The converter transformer plays a key role in the safe operation of power ...