Results 101 to 110 of about 1,753,791 (268)

Proper generalized decomposition of time-multiscale models [PDF]

, 2011
Models encountered in computational mechanics could involve many time scales. When these time scales cannot be separated, one must solve the evolution model in the entire time interval by using the finest time step that the model implies.
CHINESTA SORIA, Francisco, DOBLARÉ, Manuel, Chinesta, Francisco, CUETO, Elias, Amine Ammar, Francisco Chinesta, Manuel Doblaré, Elías Cueto, AMMAR, Amine   +8 more
core   +1 more source

Spatial Statistics for Screening Molecular Structures

Small, EarlyView.
Deep architectures for materials discovery demand vast training data and obscure the structure‐property link. This review shows how spatial statistics offer a physically grounded alternative: voxelized fields and two‐point correlations, compressed by principal component analysis, yield convex, interpretable descriptors. Lean surrogates then reach sub‐2%
Pranoy Ray, Surya R. Kalidindi
wiley   +1 more source

PODNO: Proper Orthogonal Decomposition Neural Operators

SIAM Journal on Scientific Computing
Abstract. In this paper, we introduce proper orthogonal decomposition neural operators (PODNO) for solving partial differential equations (PDEs) dominated by high-frequency components. Building on the structure of Fourier neural operators (FNO), PODNO replaces the Fourier transform with (inverse) orthonormal transforms derived from ...
Zilan Cheng, Zhongjian Wang, Li-Lian Wang, Mejdi Azaiez   +3 more
openaire   +3 more sources

MODEL REDUCTION METHODS IN OPTION PRICING [PDF]

In this work we introduce the Proper Orthogonal Decomposition (POD)approach to the valuation of contingent claims for one–dimensional price models.First, we present the POD in the context of an abstract Hilbert space and we givean application for the ...
Antonio Falcó, Mariano González, Francisco Chinesta   +2 more
core  

Appendix_Figure_3 – Supplemental material for A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion engines

, 2019
Supplemental material, Appendix_Figure_3 for A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion engines by Federico Rulli, Stefano Fontanesi ...
Federico Rulli (6554567), Fabio Berni (6554576), Stefano Fontanesi (6554570), Alessandro d’Adamo (6554573)   +3 more
core   +1 more source

Tailoring Laser Powder Bed Fusion and Post‐Processing Parameters for JIS SKD61 Tool Steels: Surface Roughness, Microstructure, and Mechanical Properties

steel research international, EarlyView.
Laser powder bed fusion of JIS SKD61 tool steel is systematically optimized using a Taguchi design and ANOVA. Hatch spacing and layer thickness are identified as dominant parameters controlling surface roughness and tensile strength. Subsequent tempering at 600°C improves microstructural stability and mechanical performance, enabling high‐density SKD61
Masrurotin Masrurotin, Andi Ard Maidhah, Maziar Ramezani, Wojciech Macek, Cho‐Pei Jiang   +4 more
wiley   +1 more source

An investigation into the aerolastic stability of a footbridge using proper orthogonal decomposition analysis

, 2007
This paper seeks to investigate into the aerolastic stability of a footbridge using proper orthogonal decomposition ...
Vezza, M., Taylor, Ian
core   +3 more sources

Proper Orthogonal Decomposition for Parameter Estimation in Oscillating Biological Networks [PDF]

, 2011
Proper orthogonal decomposition (POD) is frequently applied to estimate parameters of partial differential equations. This study examines the application of the POD method in estimating the parameters of an Ordinary Differential Equation (ODE) model of ...
Rehm, Amanda Marie
core  

firedrake backend based model order reduction tools based on Proper Orthogonal Decomposition

, 2018
<p>firedrake backend based model order reduction tools based on Proper Orthogonal Decomposition</p ...
Julian Andrej, Dirk Siebelts, Andreas Kater   +2 more
core   +1 more source

Proper Orthogonal Decomposition Model Order Reduction of Nonlinear IC Models [PDF]

, 2010
We demonstrate Model Order Reduction for a nonlinear system of differential-algebraic equations of a diode chain by Proper Orthogonal Decomposition with Adapted Missing Point Estimation. The collected time snapshots also allow for an efficient impression
E. J. W. ter Maten, Verhoeven, A., J. Rommes, M. Striebel, Striebel, M., T. Bechtold, A. Verhoeven, Bechtold, T., Maten, ter, E.J.W., Rommes, J.   +9 more
core   +1 more source