Nature

Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties

The American Association of State Highway and Transportation Officials (AASHTO) design method for flexible pavements is one of the most widely adopted approaches, both within the United States and ...
Nature

Machine learning-driven discovery of high-performance MEMS disk resonator gyroscope structural topologies

Microelectromechanical system (MEMS) gyroscopes, which use the Coriolis effect to detect the angular velocity or angle of an object’s rotation 1, are core components of motion tracking and inertial ...
EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...
Phys.org

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals and design of functional materials. In pharmaceuticals, crystal structures ...