Tech Xplore on MSN

AI speeds up discovery of next-gen computer chips and electronic materials

An international study team, led by Flinders University in collaboration with Khalifa University UAE, built the machine-learning platform to act like a "smart materials discovery engine," which is ...
Science Daily

Smart optimization paves the way for improved silicon solar cell performance

Bayesian optimization (BO) can help determine the optimal deposition conditions for high-performance passivation films in solar cells. However, simple implementations tend to suggest excessively thick ...
Nanowerk

Strong as steel, light as foam: Machine learning and nano-3D printing create breakthrough nano-architected materials

(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...
Phys.org

Machine learning and 3D printing yield steel-strong, foam-light materials

From left to right: An image of the full lattice geometry is juxtaposed with an 18.75-million cell lattice floating on a bubble. Credit: Peter Serles / University of Toronto Engineering Researchers at ...
EurekAlert!

Strong as steel, light as foam: Machine learning and nano-3D printing produce breakthrough high-performance, nano-architected materials

Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the ...