Results 81 to 90 of about 25,267,562 (240)
An inverse modeling approach for predicting filled rubber performance
, 2019 In this paper, a computational procedure combining experimental data and interphase inverse modeling is presented to predict filled rubber compound properties.
Jiaying Gao +5 more
semanticscholar +1 more source
Modeling of Tensile Tests Flow Curves Using an Explicit Piecewise Inverse Approach
MetalsTensile tests are a common method for characterizing plastic behavior for sheet metal forming applications. During tensile testing at the beginning of the deformation, the stress state is uniaxial; however, as the deformation proceeds, the state changes ...
Aditya Vuppala +3 more
doaj +1 more source
Validating Forward Modeling and Inversions of Helioseismic Holography Measurements
, 2018 Here we use synthetic data to explore the performance of forward models and inverse methods for helioseismic holography. Specifically, this work presents the first comprehensive test of inverse modeling for flows using lateral-vantage (deep-focus ...
Birch, A. C. +4 more
core +1 more source
Geophysical Research Letters, 2019 Chlorophyll fluorescence measurements provide valuable information on phytoplankton abundance and physiology. High spectral resolution measurements from the aircraft‐mounted Portable Remote Imaging SpectroMeter (PRISM) allow for a more robust and ...
Z. K. Erickson +4 more
doaj +1 more source
ACS Earth and Space Chemistry, 2018 Back-trajectory statistical methods, for example, potential source contribution functions (PSCF) and concentration-weighted trajectory (CWT) methods, have been widely used in previous studies to locate emission source regions of air pollutants or ...
X. Fang +5 more
semanticscholar +1 more source
Transfer Learning-Assisted Inverse Modeling in Nanophotonics Based on Mixture Density Networks
IEEE AccessThe simulation of nanophotonic structures relies on electromagnetic solvers, which play a crucial role in understanding their behavior. However, these solvers often come with a significant computational cost, making their application in design tasks ...
Liang Cheng +2 more
doaj +1 more source
Top‐Down CO Emissions Based On IASI Observations and Hemispheric Constraints on OH Levels
Geophysical Research Letters, 2018 Assessments of carbon monoxide emissions through inverse modeling are dependent on the modeled abundance of the hydroxyl radical (OH) which controls both the primary sink of CO and its photochemical source through hydrocarbon oxidation.
J.‐F. Müller +7 more
doaj +1 more source
, 2015 . This paper presents the ECCO v4 non-linear inverse modeling framework and its baseline solution for the evolving ocean state over the period 1992–2011. Both components are publicly available and subjected to regular, automated regression tests.
G. Forget +5 more
semanticscholar +1 more source
Model parameter estimation with imprecise information
Water Science and TechnologyModel parameter estimation is a well-known inverse problem, as long as single-value point data are available as observations of system performance measurement.
Wolfgang Rauch +2 more
doaj +1 more source
Estimation for the Linear Model with Uncertain Covariance Matrices
, 2014 We derive a maximum a posteriori estimator for the linear observation model, where the signal and noise covariance matrices are both uncertain. The uncertainties are treated probabilistically by modeling the covariance matrices with prior inverse-Wishart
Bengtsson, Mats +4 more
core +1 more source