IEEE

An Interface Reconstruction Method Based on the Physics-Informed Neural Network: Application to Ultrasonic Array Imaging

Abstract: The accurately and rapidly delineating surface contours is crucial for ultrasonic immersion nondestructive testing (NDT) of complex curved-surface components. However, directly employing ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Aviation Week

GKN Expands GTF 3D Component Capacity

COLORADO SPRINGS–As RTX'S Pratt & Whitney ramps up production of geared turbofan (GTF) engines, GKN Aerospace is adding build capacity for an additively manufactured component of the PW1500G/PW1900G ...
Phys.org

DNA-based neural network learns from examples to solve problems

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
IEEE

In-Situ 3D Printing Monitoring in Dynamic Environments via Self-Supervised Deep Neural Network Adaptation

Abstract: 3D printing technology has rapidly advanced, yet the variability in deployment environments poses significant challenges for monitoring systems, because the dynamic deployment environments ...