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 ...
ACHR News

Machine Learning for Making Machines: Applying Visual Search to Mechanical Parts

Computer vision researchers use machine learning to train computers in visually recognizing objects but very few apply machine learning to mechanical parts, such as gearboxes, bearings, brakes, ...
Science Daily

Machine learning technique sharpens prediction of material's mechanical properties

Scientists have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning. The new analytical technique ...
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 ...