BUQEYE guide to projection-based emulators in nuclear physics
The BUQEYE collaboration (Bayesian Uncertainty Quantification: Errors in Your effective
field theory) presents a pedagogical introduction to projection-based, reduced-order …
field theory) presents a pedagogical introduction to projection-based, reduced-order …
State estimators in soft sensing and sensor fusion for sustainable manufacturing
State estimators, including observers and Bayesian filters, are a class of model-based
algorithms for estimating variables in a dynamical system given the sensor measurements of …
algorithms for estimating variables in a dynamical system given the sensor measurements of …
Model reduction methods for nuclear emulators
The field of model order reduction (MOR) is growing in importance due to its ability to extract
the key insights from complex simulations while discarding computationally burdensome …
the key insights from complex simulations while discarding computationally burdensome …
Deep learning methods for partial differential equations and related parameter identification problems
Recent years have witnessed a growth in mathematics for deep learning—which seeks a
deeper understanding of the concepts of deep learning with mathematics and explores how …
deeper understanding of the concepts of deep learning with mathematics and explores how …
Towards precise and accurate calculations of neutrinoless double-beta decay
We present the results of a National Science Foundation Project Scoping Workshop, the
purpose of which was to assess the current status of calculations for the nuclear matrix …
purpose of which was to assess the current status of calculations for the nuclear matrix …
Assessment of URANS and LES methods in predicting wake shed behind a vertical axis wind turbine
A Sheidani, S Salavatidezfouli, G Stabile… - Journal of Wind …, 2023 - Elsevier
In order to shed light on the Vertical-Axis Wind Turbines (VAWT) wake characteristics, in this
paper we present high-fidelity CFD simulations of the flow around an exemplary H-shaped …
paper we present high-fidelity CFD simulations of the flow around an exemplary H-shaped …
Nuclear properties with semilocal momentum-space regularized chiral interactions beyond
LENPIC Collaboration, P Maris, R Roth, E Epelbaum… - Physical Review C, 2022 - APS
We present a comprehensive investigation of few-nucleon systems as well as light and
medium-mass nuclei up to A= 48 using the current Low Energy Nuclear Physics …
medium-mass nuclei up to A= 48 using the current Low Energy Nuclear Physics …
Predicting waves in fluids with deep neural network
In this paper, we present a deep learning technique for data-driven predictions of wave
propagation in a fluid medium. The technique relies on an attention-based convolutional …
propagation in a fluid medium. The technique relies on an attention-based convolutional …
Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks
Predicting the evolution of systems with spatio-temporal dynamics in response to external
stimuli is essential for scientific progress. Traditional equations-based approaches leverage …
stimuli is essential for scientific progress. Traditional equations-based approaches leverage …
[HTML][HTML] MORe DWR: space-time goal-oriented error control for incremental POD-based ROM for time-averaged goal functionals
In this work, the dual-weighted residual (DWR) method is applied to obtain an error-
controlled incremental proper orthogonal decomposition (POD) based reduced order model …
controlled incremental proper orthogonal decomposition (POD) based reduced order model …