Knowing where the electrons are within a molecule can go a long way to explaining its structure, its properties, and its reactivity. Chemists use density functional theory (DFT) methods, ...

New manufacturing test challenges are raised with SoC technology advances where both test quality and test costs are affected with a direct impact on current Design-For-Test (DFT) methodologies and ...

The marriage of density functional theory (DFT) and deep-learning methods has the potential to revolutionize modern computational materials science. Here we develop a deep neural network approach to ...

The properties of electrons in matter are of fundamental importance. They give rise to virtually all material properties and determine the physics at play in objects ranging from semiconductor devices ...

Semiconductor companies are racing to develop AI-specific chips to meet the rapidly growing compute requirements for artificial intelligence (AI) systems. AI chips from companies like Graphcore and ...

Scientists use quantum many-body data and machine learning to boost density functional theory accuracy for chemistry and materials science. (Nanowerk News) A new trick for modeling molecules with ...

Low cost, design-for-test (DFT) ATE continues to make inroads into device testing. Sharp Electronics Corp's U.S. subsidiary was able to cut the time it spent validating scan vectors from a week and a ...