mccormick.northwestern.edu

MECH_ENG 395: Machine Learning for Mechanical Sciences

Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...
Phys.org

Using machine learning to infer rules for designing complex mechanical metamaterials

Mechanical metamaterials are sophisticated artificial structures with mechanical properties that are driven by their structure, rather than their composition. While these structures have proved to be ...
Nature

Training all-mechanical neural networks for task learning through in situ backpropagation

Recent advances unveiled physical neural networks as promising machine learning platforms, offering faster and more energy-efficient information processing. Compared with extensively-studied optical ...
Nature

Machine learning based real-time assessment of fabrication deviation induced mechanical performance variations in stretchable silicon arrays

Microelectromechanical system fabrication represents a promising approach for silicon-based flexible electronics, leveraging its scalability and miniaturization merits. However, fabrication-induced ...