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 ...
Michigan Technological University

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Machine Design

Leo AI: How CAD-Aware AI is Changing Mechanical Design and Engineering Workflows

This startup has developed an AI copilot for mechanical engineers. At the heart of the innovation is a Large Mechanical Model (LMM), a patented AI system that understands real CAD data. Leo AI is a ...

Letting atomic simulations learn from phase diagrams

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
mccormick.northwestern.edu

Novel Method Enables Enormous Datasets of Mechanical Properties in the Era of AI and Machine Learning

Adhesive materials are a key part our everyday life. Whether it’s in bioimplants, sealing incisions made during surgery, or cements for structural fastening, these materials are crucial throughout the ...
Rochester Institute of Technology

Machine Learning and Artificial Intelligence

In the past decade, advances in algorithms, computer architecture and processing power have led to giant strides in the development of computers that are capable to learn by themselves how to solve a ...