233 citations · 2.1k across the 68 of their papers we have counts for
73 papers
Targeted Adaptive Design
Carlo Graziani, Marieme Ngom
Modern advanced manufacturing and advanced materials design often require searches of relatively high-dimensional process control parameter spaces for settings that result in optim…
A Deep Learning Approach to Probabilistic Forecasting of Weather
Nick Rittler, Carlo Graziani, Jiali Wang +1
We discuss an approach to probabilistic forecasting based on two chained machine-learning steps: a dimensional reduction step that learns a reduction map of predictor information t…
Simultaneous Reconstruction and Uncertainty Quantification for Tomography
Agnimitra Dasgupta, Carlo Graziani, Zichao Wendy Di
Tomographic reconstruction, despite its revolutionary impact on a wide range of applications, suffers from its ill-posed nature in that there is no unique solution because of limit…
Time-resolved fast turbulent dynamo in a laser plasma
A. F. A. Bott, P. Tzeferacos, L. Chen +25
Understanding magnetic-field generation and amplification in turbulent plasma is essential to account for observations of magnetic fields in the universe. A theoretical framework a…
An Application of Gaussian Process Modeling for High-order Accurate Adaptive Mesh Refinement Prolongation
Steven I. Reeves, Dongwook Lee, Adam Reyes +2
We present a new polynomial-free prolongation scheme for Adaptive Mesh Refinement (AMR) simulations of compressible and incompressible computational fluid dynamics. The new method…
Probabilistic Recalibration of Forecasts
Carlo Graziani, Robert Rosner, Jennifer M. Adams +1
We present a scheme by which a probabilistic forecasting system whose predictions have poor probabilistic calibration may be recalibrated by incorporating past performance informat…