In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...

Defects in transistors, such as unwanted impurities and broken chemical bonds in the various layers of the semiconductor, can limit their performance and reliability. These defects are becoming harder ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...

Intel this week revealed defect density metrics for its 18A (1.8nm-class) process technology and said that it was healthy at the Deutsche Bank's 2024 Technology Conference. The company also said that ...

Instrumental's AI-powered Synchronized Learning detects defects in high-density connectors with 99.9% accuracy — ...

A recent study published in the journal Carbon focuses on the application of high-powered laser pulses of brief duration for inducing minute defects in lithium-ion battery materials, which in turn ...

(Nanowerk News) Metal-organic framework (MOF) nanocrystals are hybrid materials, built from metal clusters and organic linkers with an almost unlimited number of possible combinations. Their ...

A new study reports that machine learning with computer simulations could improve efficiency to 40.17 % in CH3NH3SnI3 ...

Originating as a theoretical prediction in the 1940s, with experimental isolation from graphite in 2004, graphene has quickly become a desirable quantum material used in various application areas, ...

Chemical mechanical planarization (CMP) is required during semiconductor processing of many memory and logic devices. CMP is used to create planar surfaces and achieve uniform layer thickness during ...