A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Factors influencing the proportioning of machine elements: stresses, deformations, and failure criteria as applied to shafts, springs, belts, bearings, gears. Design of Elements is a required course ...

Machine Design’s audience has a diverse familiarity with AI, but one thing is clear—its impact is growing, from streamlining ...

The principles of mechanics and commonly used failure theories are applied to the design and analysis of machine elements subjected to static and dynamic (fatigue) load conditions. Elements studied ...

Central to their approach is a machine learning model trained to predict ... the effectiveness of the proposed theoretical ...