5 papers · 1 filter
Bifidelity Karhunen-Loève Expansion Surrogate with Active Learning for Random Fields
Aniket Jivani, Cosmin Safta, Beckett Y. Zhou +1
We present a bifidelity Karhunen-Loève expansion (KLE) surrogate model for field-valued quantities of interest (QoIs) under uncertain inputs. The approach combines the spectral ef…
Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures
Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe +4
Phase-field models of liquid metal dealloying (LMD) can resolve rich microstructural dynamics but become intractable for large domains or long time horizons. We present a condition…
A Comparison of Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel
Pieterjan Robbe, Andre Ruybalid, Arun Hegde +4
Mechanistic microstructure-informed constitutive models for the mechanical response of polycrystals are a cornerstone of computational materials science. However, as these models b…
Uncertainty quantification of neural network models of evolving processes via Langevin sampling
Cosmin Safta, Reese E. Jones, Ravi G. Patel +4
We propose a scalable, approximate inference hypernetwork framework for a general model of history-dependent processes. The flexible data model is based on a neural ordinary differ…
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates
Connor Robertson, Cosmin Safta, Nicholson Collier +2
Accurate calibration of stochastic agent-based models (ABMs) in epidemiology is crucial to make them useful in public health policy decisions and interventions. Traditional calibra…