Results 101 to 110 of about 2,483 (203)

Data Driven Reconstruction of Upper Ocean Profiles for Improved State Estimation in the Philippine Sea

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Despite significant advances in observational systems such as the global Argo array of autonomous profiling floats, the spatiotemporal coverage of subsurface ocean observations remains limited compared to the dense data provided by satellite platforms. This study develops a data‐driven framework to reconstruct synthetic profiles of upper ocean
Guangpeng Liu, Brian Powell
wiley   +1 more source

Numerical algorithms to solve inverse problems for parabolic equations

Mathematical Modelling and Analysis
This paper presents and analyzes robust numerical algorithms for solving inverse problems for parabolic equations, specifically focusing on the determination of an unknown time-dependent source function from an integral flux condition.
Raimondas Čiegis, Olga Suboč, Vadimas Starikovičius   +2 more
doaj   +1 more source

Physics‐Informed Machine Learning Framework to Retroactively Estimate Mantle Thermal Convection From Partial Geophysical Observations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Mantle convection drives the solid Earth, powering plate motions, volcanism, and earthquakes while regulating planetary heat loss. Reconstructing its history is hampered by sparse, noisy observations concentrated near the surface and the present day. Here I develop an inverse physics‐informed neural network framework to estimate mantle thermal
Atsushi Nakao
wiley   +1 more source

Applicability of the first-order adjoint-weighted perturbation method for estimating beta-effective sensitivity to nuclear data

Nuclear Engineering and Technology
This study formulated equations in operator form using the first-order Adjoint-Weighted Perturbation (AWP) method. These equations are designed to calculate the relative change of reactor parameters—such as the multiplication factor (k), general reaction
Sung Hoon Choi
doaj   +1 more source

AERODYNAMIC SHAPE OPTIMIZATION OF THE MEXICO WIND TURBINE BLADE USING THE CONTINUOUS ADJOINT METHOD [PDF]

14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control, 2021
Papoutsis-Kiachagias, Evangelos, Farhikhteh, Mohammaderfan, Skamagkis, Themis, Giannakoglou, Kyriakos   +3 more
openaire   +1 more source

Optimization Under Uncertainties using the Continuous Adjoint Method and Polynomial Chaos Expansion

, 2018
Uncertainties associated with either the operating conditions and/or man- ufacturing imperfections frequently affect the results of design/optimization methods in various engineering fields. This paper deals with optimization under uncertainties related to the flow conditions and is based on the non-intrusive Polynomial Chaos Expansion (PCE).
Liatsikouras A.G., Asouti V.G., Giannakoglou K.C.   +2 more
openaire   +2 more sources

A Next‐Generation Snow Albedo Parameterization for Climate Modeling Using Constrained Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We demonstrate a data‐driven parameterization framework for snow albedo evolution using a constrained auto‐regressive neural differential equation that directly predicts snow albedo change from standard meteorological inputs. After training with multi‐year in situ and satellite observations from a wide variety of locations, the scheme ...
A. Charbonneau, K. Deck, T. Schneider
wiley   +1 more source

A Matrix‐Free, Scalable, and Robust Implicit Material Point Method

International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
ABSTRACT An implicit material point method is presented using a new dynamic relaxation solver, allowing for a simple and efficient quasi‐static formulation that may be readily implemented in existing explicit‐dynamic codes. The use of dynamic relaxation and aggregation is shown to produce an extremely robust material point method scheme, with good ...
Sam J. V. Sutcliffe, William M. Coombs, Wangcheng Zhang, Ravindra Duddu, Giuliano Pretti, Charles E. Augarde   +5 more
wiley   +1 more source

Inverse Turbulence Modeling of channel flow using Continuous Adjoint method

, 2018
In this thesis, a formal approach for inferring the functional forms of information that might be missing in Wilcox's $k-\omega$ model for turbulent channel flow has been presented. Different terms of $k-\omega$ transport equations have been \textit{modified} by including a \textit{spatial} parameter.
openaire   +3 more sources

Suppressing Stitching Errors in Full‐Sensor‐Plane Color Routers via Optical Structural Similarity

Nanophotonics, Volume 15, Issue 14, 27 July 2026.
Angle‐specific nanophotonic color routers are assembled from a library of inverse‐designed unit cells matched to local incidence angles. Optical structural similarity (OSS) constrains neighboring permittivity profiles during optimization, suppressing inter‐cell stitching errors without additional full‐wave simulations and enabling oblique‐incidence ...
Donghyun Kim, Junseo Han, Seunghyun Lee, Min Seok Jang, Haejun Chung   +4 more
wiley   +1 more source