Researchers at Sandia National Laboratories and Auburn University have developed a new method to more accurately detect ...

Semiconductor devices rely on robust predictive models of charge transport to optimise performance and ensure reliability. Contemporary research bridges traditional drift–diffusion approaches with ...

SANTA CLARA, Calif., Feb. 21, 2012 – Agilent Technologies Inc. (NYSE: A) today announced that Accelicon Technologies’ software solutions and technology for device-level modeling and validation in the ...

Atomera has extended its collaboration with Synopsys to support the development of advanced modelling workflows for gallium nitride (GaN) devices used in radio frequency (RF) and power semiconductor ...

The Semiconductor Device Research Laboratory (SDRL) is working on manufacturing semiconductors in space and using memory technology based on the mechanisms of the brain. The SDRL is researching how to ...

When it comes to semiconductor device testing, the primary goal is to ensure that each device meets functional and performance specifications. Testing also plays a crucial role in confirming that ...

The first step for semiconductor chips is visual inspection using an optical microscope or electrical measurements. 2 Mechanical probing, electron beams, emission microscopy, liquid crystal, etc., are ...

Within the context of semiconductor inspection and failure analysis, latent defects present a significant challenge because they make it difficult to determine whether a fault originated during ...

Amid rising supply chain risk and geopolitical uncertainty, attention is turning to regional capability as the semiconductor ...