Improving PWR core simulations by Monte Carlo uncertainty analysis and Bayesian inference
, 2016 A Monte Carlo-based Bayesian inference model is applied to the prediction of reactor operation parameters of a PWR nuclear power plant. In this non-perturbative framework, high-dimensional covariance information describing the uncertainty of microscopic ...
Ahnert, Carolina +5 more
core +2 more sources
Nanophotonics, Volume 13, Issue 7, Page 971-982, March 2024.Abstract Recent advances in nanotechnology have led to the emergence of metamaterials with unprecedented properties through precisely controlled topologies. To explore metamaterials with nanoscale topologies, interest in three‐dimensional nanofabrication methods has grown and led to rapid production of target nanostructures over large areas ...
Hwanseok Chang +3 more
wiley +1 more source
Content in the Context of 4D-Var Data Assimilation. II: Application to Global Ozone Assimilation [PDF]
, 2011 Data assimilation obtains improved estimates of the state of a physical system by combining imperfect model results with sparse and noisy observations of reality. Not all observations used in data assimilation are equally valuable.
Bowman, Kevin +4 more
core +1 more source
Approximate parameter inference in systems biology using gradient matching: a comparative evaluation [PDF]
, 2016 Background: A challenging problem in current systems biology is that of parameter inference in biological pathways expressed as coupled ordinary differential equations (ODEs).
Filippone, Maurizio +4 more
core +1 more source
Quantum control theory and applications: A survey [PDF]
, 2010 This paper presents a survey on quantum control theory and applications from a control systems perspective. Some of the basic concepts and main developments (including open-loop control and closed-loop control) in quantum control theory are reviewed.
Belavkin +20 more
core +1 more source
Towards Overcoming the Curse of Dimensionality: The Third-Order Adjoint Method for Sensitivity Analysis of Response-Coupled Linear Forward/Adjoint Systems, Uncertainty Quantification and Predictive Modeling with Applications to Nuclear Energy Systems [PDF]
, 2019 This work presents the Third-Order Adjoint Sensitivity Analysis Methodology (3rd-ASAM) for response-coupled forward and adjoint linear systems.
Cacuci, Dan Gabriel
core +2 more sources
Shape optimization of phononic band gap structures using the homogenization approach
, 2017 The paper deals with optimization of the acoustic band gaps computed using the homogenized model of strongly heterogeneous elastic composite which is constituted by soft inclusions periodically distributed in stiff elastic matrix.
Heczko, Jan +2 more
core +1 more source
A Transfer Operator Methodology for Optimal Sensor Placement Accounting for Uncertainty [PDF]
, 2018 Sensors in buildings are used for a wide variety of applications such as monitoring air quality, contaminants, indoor temperature, and relative humidity.
Ganapathysubramanian, Baskar +4 more
core +4 more sources
A High-Order Numerical Method for the Nonlinear Helmholtz Equation in Multidimensional Layered Media
, 2009 We present a novel computational methodology for solving the scalar nonlinear Helmholtz equation (NLH) that governs the propagation of laser light in Kerr dielectrics.
Akhmediev +35 more
core +2 more sources
Local-in-Time Adjoint-Based Method for Optimal Control/Design Optimization of Unsteady Compressible Flows [PDF]
, 2009 .We study local-in-time adjoint-based methods for minimization of ow matching functionals subject to the 2-D unsteady compressible Euler equations. The key idea of the local-in-time method is to construct a very accurate approximation of the global-in ...
Diskin, B. +2 more
core +1 more source