VoxelMatters

Machine learning model designs rust-resistant, ultra-high strength steel for 3D printing

Researchers from the University of South China and Purdue University have developed ultra-high strength, high-ductility steel ...
Business Wire

Do Batteries Need Medicine? Argonne Researchers Enhance Battery Performance With Electrolyte Additives and Machine Learning

LEMONT, Ill.--(BUSINESS WIRE)--Batteries, like humans, require medicine to function at their best. In battery technology, this medicine comes in the form of electrolyte additives, which enhance ...
Science Daily

Researchers use machine learning to detect defects in additive manufacturing

Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...
VoxelMatters

UCF researcher developing AI-based model aimed at reducing destructive AM testing

DARPA award will fund development of a machine learning model capable of predicting performance and defects of 3D printed parts.
Semiconductor Engineering

AI Meets Device Modeling: Transforming Compact Modeling With Machine Learning

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
EurekAlert!

Researchers use machine learning to detect defects in additive manufacturing

Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...