Native SPICE elements that accurately replicate an op amp’s real-world behavior were nonexistent. A transconductance sourcing current from the rails and transitioning to a resistive state as the ...

Transistors, the building blocks of modern electronics, are typically made of silicon. Because it's a semiconductor, this material can control the flow of electricity in a circuit. But silicon has ...

Downscaling of electronic devices, such as transistors, has reached a plateau, posing challenges for semiconductor fabrication. However, a research team led by materials scientists recently discovered ...

A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...

Given the great success of electrical processing systems, a long-standing goal in the field of microfluidics has been the creation of a fully integrated, automatic liquid processing system, sometimes ...

Neural networks (NNs) are powerful tools for modeling transistor characteristics from data, yet purely data-driven models are data-hungry, can yield unphysical results, and often fail to generalize.

What many engineers once saw as a flaw in organic electronics could actually make these devices more stable and reliable, according to new research from the University of Surrey and JOANNEUM RESEARCH ...

The rapid advancement and diffusion of artificial intelligence (AI) systems, such as the machine learning models underpinning ...

A new device concept opens the door to compact, high-performance transistors with built-in memory. (Nanowerk News) Transistors, the building blocks of modern electronics, are typically made of silicon ...