Speaker
Hang Yu
(Center for Computational Sciences, Univesity of Tsukuba)
Description
Constructing fast and accurate surrogate models is a key ingredient for making robust predictions in many topics. We present a new model, the Multiparameter Eigenvalue Problem (MEP) emulator. Our new emulator connects emulators and can make predictions directly from observables to observables. We demonstrate that our MEP emulator can connect both Eigenvector Continuation (EC) and Parametric Matrix Model (PMM) emulators. We show an immediate application to the uncertainty quantification of valence-space in-medium similarity renormalization group calculations.
Primary author
Hang Yu
(Center for Computational Sciences, Univesity of Tsukuba)
Co-author
Prof.
Takayuki Miyagi
(Center for Computational Sciences, University of Tsukuba)
