SPARES combines physics-based modeling with machine learning-driven surrogate models to dramatically reduce the time and computational effort required to evaluate structural integrity, without ...

Abstract: The AFOSR MURI effort, titled “A Robust Multi-Physics Design Analysis and Optimization Framework for Hypersonic Systems Grounded in Rigorous Model Reduction,” unites a multi-disciplinary ...

Tsukuba, Japan—Machine learning systems for autonomous driving, diagnostic medical imaging, and other applications require reliable and safe output. One such system design is the N-version machine ...

Physics-based simulations, that staple of traditional HPC, may be evolving toward an emerging, AI-based technique that could radically accelerate simulation runs while cutting costs. Called “surrogate ...

In the last two decades, results obtained from structural reliability analysis (SRA) have increasingly led to formation of strategies for future safe operation of corroding oil and gas pipelines. 1-8 ...