A computational framework has been developed tool to evaluate a material’s suitability for harsh conditions and high-temperature applications such as gas turbines for jet engines and electrical power generators. See video.
Many chip manufacturers lack an overall digital transformation strategy and cannot make the move to smart manufacturing.
Columbia researchers engineered a technique to exploit the tunable symmetry of 2D materials for nonlinear optical applications, including laser, optical spectroscopy, imaging, and metrology systems, as well as next-generation optical quantum information processing and computing.
Purdue University engineers are building a probabilistic computer designed to act more like quantum computers rather than traditional computers.
A data transfer system that pairs high-frequency silicon chips with a polymer cable as thin a strand of hair has been developed by MIT researchers.
Software has been developed by Massachusetts Institute of Technology (MIT) researchers to more efficiently run graph applications on a range of computing hardware, including both CPUs and GPUs.
In spite of disruptions caused by the COVID-19 pandemic, the semiconductor history had a strong finish to 2020, almost reaching the sales high achieved in 2018.
SEMI, along with 16 other organizations, are pushing the Biden administration to bolster semiconductor manufacturing and research in the U.S., which accounts for an eighth of global production.
Neuromorphic computing, which is designed to emulate the self-organizing and self-learning nature of the brain, could help enable Big Data and artificial intelligence (AI) applications.
The cryoyton is a superconducting transistor, inspired by decades-old MIT research, which could boost quantum computers and other superconducting electronics.