Výsledky vyhledávání - numerical methods for inverse problems for boundary value problems involving pces*

Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework.

Autoři: Karagiannis, Georgios Hou, Zhangshuan Huang, Maoyi a další

Zdroj: Computation; May2022, Vol. 10 Issue 5, p72-N.PAG, 18p

Témata: POLYNOMIAL chaos, HYDROLOGIC models, PARAMETER estimation, LATENT heat, SOIL moisture, HEAT flux

CONVERGENCE OF PROBABILITY DENSITIES USING APPROXIMATE MODELS FOR FORWARD AND INVERSE PROBLEMS IN UNCERTAINTY QUANTIFICATION.

Autoři: BUTLER, T. JAKEMAN, J. WILDEY, T.

Zdroj: SIAM Journal on Scientific Computing; 2018, Vol. 40 Issue 5, pA3523-3548, 26p

Témata: PROBABILITY density function, POLYNOMIAL chaos, APPROXIMATE identities (Algebra)

Effect of Flow‐Direction‐Dependent Dispersivity on Seawater Intrusion in Coastal Aquifers.

Autoři: Fahs, Marwan Koohbor, Behshad Shao, Qian a další

Zdroj: Water Resources Research; Aug2022, Vol. 58 Issue 8, p1-25, 25p

Témata: SALTWATER encroachment, AQUIFERS, DRINKING water, WATER quality, WATER supply, WATER pumps

Geografický termín: LEBANON

A Decision‐Relevant Factor‐Fixing Framework: Application to Uncertainty Analysis of a High‐Dimensional Water Quality Model.

Autoři: Wang, Qian Guillaume, Joseph H. A. Jakeman, John D. a další

Zdroj: Water Resources Research; Aug2023, Vol. 59 Issue 8, p1-30, 30p

Témata: WATER quality, TOTAL suspended solids, WATER analysis, POLYNOMIAL chaos, REDUCED-order models, PARAMETER estimation, HIGH-dimensional model representation

Bayesian Inverse Problems : Fundamentals and Engineering Applications

Autoři: Juan Chiachio-Ruano Manuel Chiachio-Ruano Shankar Sankararaman

Resource Type: eBook.

Témata: Inverse problems (Differential equations), Bayesian statistical decision theory

Categories: MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / General, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Quality Control

Challenges of order reduction techniques for problems involving polymorphic uncertainty.

Autoři: Pivovarov, Dmytro Willner, Kai Steinmann, Paul a další

Zdroj: GAMM Mitteilungen; May2019, Vol. 42 Issue 2, pN.PAG-N.PAG, 1p

Témata: UNCERTAINTY (Information theory), UNCERTAINTY, MECHANICAL models, ELECTRON tube grids, PARAMETRIC modeling, REINFORCEMENT learning

In-depth exploration of optoelectronic and PV characteristics in lead-free Ca3BiF3 perovskite solar cells: numerical simulations and machine learning approaches.

Autoři: Biswas, Bipul Chandra Shimul, Asadul Islam Alshihri, Abdulaziz A. a další

Zdroj: Multiscale & Multidisciplinary Modeling, Experiments & Design; 10/28/2025, Vol. 9 Issue 1, p1-27, 27p

Advancing Solar Energy with Cs2TlAsI6 Double Halide Perovskite: A Simulation‐Driven Approach for High‐Efficiency Solar Cell.

Autoři: Tarekuzzaman, Md. Utsho, Khandoker Isfaque Ferdous

Zdroj: Advanced Electronic Materials; 10/6/2025, Vol. 11 Issue 16, p1-27, 27p

Témata: PHOTOVOLTAIC power generation, SOLAR cell efficiency, HIGH performance computing, SOLAR cells, SOLAR energy, SOLAR cell design, DIGITAL computer simulation

A local hybrid surrogate‐based finite element tearing interconnecting dual‐primal method for nonsmooth random partial differential equations.

Autoři: Eigel, Martin Gruhlke, Robert

Zdroj: International Journal for Numerical Methods in Engineering; 2/28/2021, Vol. 122 Issue 4, p1001-1030, 30p

Témata: MONTE Carlo method, PARTIAL differential equations, ELLIPTIC differential equations, INTERIOR-point methods, RANDOM fields, BENCHMARK problems (Computer science), HIGH-dimensional model representation, HEURISTIC algorithms

The mastery of details in the workflow of materials machine learning.

Autoři: Ma, Yingying Xu, Pengcheng Li, Minjie a další

Zdroj: NPJ Computational Materials; 7/2/2024, Vol. 10 Issue 1, p1-17, 17p

Témata: MACHINING, WORKFLOW, WORKFLOW management systems, RESEARCH personnel, MATERIALS science

Bi-fidelity adaptive sparse reconstruction of polynomial chaos using Bayesian compressive sensing.

Autoři: Karimi, Mohamad Sadeq Mohammadi, Ramin Raisee, Mehrdad

Zdroj: Engineering with Computers; Aug2025, Vol. 41 Issue 4, p2461-2481, 21p

Probabilistic partition of unity networks for high‐dimensional regression problems.

Autoři: Fan, Tiffany Trask, Nathaniel D'Elia, Marta a další

Zdroj: International Journal for Numerical Methods in Engineering; 5/30/2023, Vol. 124 Issue 10, p2215-2236, 22p

Témata: QUANTUM computing, DIMENSION reduction (Statistics), DEEP learning, POLYNOMIAL approximation

DATA-DRIVEN CLOSURES AND ASSIMILATION FOR STIFF MULTISCALE RANDOM DYNAMICS.

Autoři: MALTBA, TYLER E. HONGLI ZHAO MALDONADO, D. ADRIAN

Zdroj: SIAM Journal on Scientific Computing; 2025, Vol. 47 Issue 1, pC52-C76, 25p

Témata: ARTIFICIAL neural networks, MONTE Carlo method, PROBABILITY density function, DATA assimilation, ORDINARY differential equations

A Novel Empirical Interpolation Surrogate for Digital Twin Wave-Based Structural Health Monitoring with MATLAB Implementation.

Autoři: Sreekumar, Abhilash Zhong, Linjun Chronopoulos, Dimitrios

Zdroj: Mathematics (2227-7390); Jun2025, Vol. 13 Issue 11, p1730, 22p

Témata: STRUCTURAL health monitoring, DIGITAL twin, THEORY of wave motion, DATA libraries, INTERPOLATION

Inverted hysteresis as a diagnostic tool for perovskite solar cells: Insights from the drift-diffusion model.

Autoři: Clarke, Will Cowley, Matthew V. Wolf, Matthew J. a další

Zdroj: Journal of Applied Physics; 3/7/2023, Vol. 133 Issue 9, p1-16, 16p

Témata: SOLAR cells, PEROVSKITE, HYSTERESIS

Decoding recombination dynamics in perovskite solar cells: an in-depth critical review.

Autoři: Das Adhikari, Ramkrishna Patel, Mayur Jagdishbhai Baishya, Himangshu a další

Zdroj: Chemical Society Reviews; 4/21/2025, Vol. 54 Issue 8, p3962-4034, 73p

Témata: MACHINE learning, PHOTOVOLTAIC power generation, RECOMBINASES, ENERGY conversion, ENERGY dissipation

HPOSS: A hierarchical portfolio optimization stacking strategy to reduce the generalization error of ensembles of models.

Autoři: Ozelim, Luan Carlos de Sena Monteiro Ribeiro, Dimas Betioli Schiavon, José Antonio a další

Zdroj: PLoS ONE; 8/31/2023, Vol. 18 Issue 8, p1-43, 43p

Témata: PORTFOLIO management (Investments), MACHINE learning, PEARSON correlation (Statistics), GENERALIZATION, POLYNOMIAL chaos, RANDOM variables, MACHINE theory

An hp‐adaptive multi‐element stochastic collocation method for surrogate modeling with information re‐use.

Autoři: Galetzka, Armin Loukrezis, Dimitrios Georg, Niklas a další

Zdroj: International Journal for Numerical Methods in Engineering; 6/30/2023, Vol. 124 Issue 12, p2902-2930, 29p

Témata: INFORMATION modeling, POLYNOMIAL approximation, COLLOCATION methods, INTERPOLATION

Instantaneous Property Prediction and Inverse Design of Plasmonic Nanostructures Using Machine Learning: Current Applications and Future Directions.

Autoři: Xu, Xinkai Aggarwal, Dipesh Shankar, Karthik

Zdroj: Nanomaterials (2079-4991); Apr2022, Vol. 12 Issue 7, p633-633, 25p

Témata: GENERATIVE adversarial networks, ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, MACHINE learning, OPTICAL spectra

Quantification of measurement error effects on conductivity reconstruction in electrical impedance tomography.

Autoři: Sun, Xiang Lee, Eunjung Choi, Jung-Il

Zdroj: Inverse Problems in Science & Engineering; Dec2020, Vol. 28 Issue 12, p1669-1693, 25p

Témata: POLYNOMIAL chaos, ELECTRICAL impedance tomography, MEASUREMENT errors, ELECTRIC conductivity, IMAGE reconstruction