3 papers
stat.ML2023
Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems
Stephen Guth, Alireza Mojahed, Themistoklis P. Sapsis
Machine learning methods for the construction of data-driven reduced order model models are used in an increasing variety of engineering domains, especially as a supplement to expe…
cs.LG2022
Discovering and forecasting extreme events via active learning in neural operators
Ethan Pickering, Stephen Guth, George Em Karniadakis +1
Extreme events in society and nature, such as pandemic spikes, rogue waves, or structural failures, can have catastrophic consequences. Characterizing extremes is difficult as they…
physics.geo-ph2020
Probabilistic characterization of the effect of transient stochastic loads on the fatigue-crack nucleation time
Stephen Guth, Themistoklis P. Sapsis
The rainflow counting algorithm for material fatigue is both simple to implement and extraordinarily successful for predicting material failure times. However, it neglects memory e…