New AI method flags fluid flow tipping points before simulations break down

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
IEEE

A Semisupervised Deep Learning Method for Ground-Penetrating Radar Data Inversion and Concrete Subsurface Defect Imaging

Abstract: With limited annotated data, the existing deep learning-based ground-penetrating radar (GPR) data inversion methods have difficulty effectively reconstructing the relative permittivity (RP) ...
Science Focus

Your reality really could be a simulation, say experts. Here’s why

To simulate the Earth, he suggests that it would be necessary to convert the entire stellar mass of a globular cluster into ...
EurekAlert!

Q&A with ORNL’s Advincula on autonomous labs in materials research

In a recent webinar organized by the National Academy of Engineering in connection with its forthcoming Fall ...
Frontiers

Peptides in biology and materials: bridging simulation and experimental data

This Research Topic is organized in collaboration with the Second Workshop Peptides in Biology and Materials: Bridging Simulation and Experimental Data, ...
Inside Higher Ed

Democratic AGs Sue to Block Admissions Data Collection

A week before colleges must report years of admissions data to the federal government, a group of Democratic state attorneys general sued the Trump administration to block what they say is an unlawful ...
IEEE

Alleviating Nonidentifiability: A High-Fidelity Calibration Objective for Financial Market Simulation With Multivariate Time Series Data

Abstract: The nonidentifiability (NI) issue has been frequently reported in social simulation works, where different parameters of an agent-based simulation model yield indistinguishable simulated ...