Results 161 to 170 of about 26,431 (199)

Modeling COVID-19 transmission: effects of age structure and vaccination. [PDF]

Sci Rep
Ali S, Boulaaras S, Ali N, Ahmad I, Khan A, Ullah Z.   +5 more
europepmc   +1 more source

Efficient Deconvolution in Populational Inverse Problems

International Journal for Numerical Methods in Engineering, Volume 127, Issue 9, 15 May 2026.
ABSTRACT This work is focused on the inversion task of inferring the distribution over parameters of interest, leading to multiple sets of observations. The potential to solve such distributional inversion problems is driven by the increasing availability of data, but a major roadblock is blind deconvolution, arising when the observational noise ...
Arnaud Vadeboncoeur, Mark Girolami, Andrew M. Stuart   +2 more
wiley   +1 more source

Physics informed neural networks for fluid flow analysis with repetitive parameter initialization. [PDF]

Sci Rep
Lee J, Shin S, Kim T, Park B, Choi H, Lee A, Choi M, Lee S.   +7 more
europepmc   +1 more source

Transient modeling of extraction columns: Parameter estimation, uncertainty analysis, and operation optimization

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag, Jannik Dohmen, Andreas Jupke   +2 more
wiley   +1 more source

A Physics-Informed Neural Network (PINN) Approach to Over-Equilibrium Dynamics in Conservatively Perturbed Linear Equilibrium Systems. [PDF]

Entropy (Basel)
Dutta A, Mukherjee B, Hosen SA, Turan M, Constales D, Yablonsky G.   +5 more
europepmc   +1 more source

A priori bounds for the generalised parabolic Anderson model

Communications on Pure and Applied Mathematics, Volume 79, Issue 5, Page 1315-1394, May 2026.
Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra, Guilherme de Lima Feltes, Hendrik Weber   +2 more
wiley   +1 more source

Process Development Methods in Microtechnology and the Associated Process Environment. [PDF]

Micromachines (Basel)
Metz KT, Civelek F, Zimmermann A.
europepmc   +1 more source

Opportunities for the U.S. Geological Survey's National Seismic Hazard Model to Improve Seismic Risk Assessment of Critical Infrastructure

Earthquake Spectra, Volume 42, Issue 2, May 2026.
As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used
Kishor S. Jaiswal, N. Simon Kwong
wiley   +1 more source

A PIKAN-based model for the prediction of the temperature fields of castings. [PDF]

Sci Rep
Zhao Q, Wang B, Kang J.
europepmc   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

International Journal for Numerical Methods in Fluids, Volume 98, Issue 5, Page 557-577, May 2026.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime, B. Després, M. A. Puscas, C. Fiorini   +3 more
wiley   +1 more source