Differentiable neural-integrated meshfree method for forward and inverse modeling of finite strain hyperelasticity
Sign Up to like & getrecommendations! Published in 2024 at "Engineering with Computers"
DOI: 10.1007/s00366-024-02090-z
Abstract: The present study aims to extend the novel physics-informed machine learning approach, specifically the neural-integrated meshfree (NIM) method, to model finite-strain problems characterized by nonlinear elasticity and large deformations. To this end, the hyperelastic material… read more here.
Keywords: integrated meshfree; method; inverse modeling; neural integrated ... See more keywords
A Fast Approximation for Seismic Inverse Modeling: Adaptive Spatial Resampling
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Geosciences"
DOI: 10.1007/s11004-017-9693-y
Abstract: Seismic inverse modeling, which transforms appropriately processed geophysical data into the physical properties of the Earth, is an essential process for reservoir characterization. This paper proposes a work flow based on a Markov chain Monte… read more here.
Keywords: spatial resampling; seismic inverse; inverse modeling; distribution ... See more keywords
A novel inverse modeling control for piezo positioning stage
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-018-1136-2
Abstract: This paper focuses on the application of a novel inverse nonlinear autoregressive with exogenous input (NARX) structure and a fuzzy inference system on position control of a piezo positioning stage (PPS) system. The highly relationship… read more here.
Keywords: positioning stage; novel inverse; control; inverse modeling ... See more keywords
Multicomponent inverse modeling of supercritical fluid extraction of carotenoids, chlorophyll A, ergosterol and lipids from microalgae
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Supercritical Fluids"
DOI: 10.1016/j.supflu.2018.05.007
Abstract: Abstract The fundamentals of analyte extractable fraction, solubility, partitioning and mass transfer resistance in supercritical fluid extraction were studied using inverse modeling. These phenomena are essential for understanding, predicting and optimizing the supercritical fluid extraction… read more here.
Keywords: extraction; fluid extraction; supercritical fluid; inverse modeling ... See more keywords
Closing the Mediterranean Marine Floating Plastic Mass Budget: Inverse Modeling of Sources and Sinks
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Science & Technology"
DOI: 10.1021/acs.est.0c01984
Abstract: Estimates of plastic inputs into the ocean are orders of magnitude larger than what is found in the surface waters. This can be due to discrepancies in the sources of plastic released into the ocean… read more here.
Keywords: floating plastic; sources sinks; closing mediterranean; mass ... See more keywords
Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA)
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Thermal Stresses"
DOI: 10.1080/01495739.2018.1480326
Abstract: Abstract This work presents a novel mathematical model for the analysis of thermal stresses in a radiative annular fin with temperature-dependent thermal conductivity and radiative parameter. An approximate analytical solution for thermal stresses is derived… read more here.
Keywords: radiative annular; thermal parameters; field; stresses radiative ... See more keywords
Transfer Learning-Assisted Inverse Modeling in Nanophotonics Based on Mixture Density Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3383790
Abstract: The 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, such… read more here.
Keywords: transfer learning; based mixture; inverse modeling; mixture density ... See more keywords
Electromagnetic Machine Learning for Inverse Modeling Using the Spatial Singularity Expansion Method
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal on Multiscale and Multiphysics Computational Techniques"
DOI: 10.1109/jmmct.2020.2973101
Abstract: In this article, we propose a general technique that utilizes a unified electromagnetic and machine learning (ML) technique for inverse modeling and antenna characterization. The recently developed spatial singularity expansion method (S-SEM) is deployed to… read more here.
Keywords: expansion method; singularity expansion; inverse modeling; electromagnetic machine ... See more keywords
An Efficient Inverse Modeling Method Using Translator-Inspired Neural Network and Dual-Annealing for a Compact WPT System
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2024.3372149
Abstract: This article proposes a novel prediction method for efficient inverse modeling of a compact wireless power transfer (WPT) system. Impedance matching circuit analysis with admittance (J-) inverter theory is used for coupling analysis. Then, a… read more here.
Keywords: translator inspired; inverse modeling; efficient inverse; wpt system ... See more keywords
Inverse Modeling of Nonlinear Artificial Muscle Using Polynomial Parameterization and Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Materials Science and Engineering"
DOI: 10.1155/2020/8189157
Abstract: The properties of pneumatic artificial muscle (PAM) with excellent power-to-weight ratio and natural compliance made it useful for healthcare engineering applications. However, it has undesirable hysteresis effect in controlling a robotic manipulator. This behavior is… read more here.
Keywords: hysteresis; inverse modeling; model; artificial muscle ... See more keywords
Inverse Modeling of Global and Regional Energy and Water Cycle Fluxes using Earth Observation Data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Climate"
DOI: 10.1175/jcli-d-19-0343.1
Abstract: AbstractThe NASA Energy and Water Cycle Study (NEWS) climatology is a self-consistent coupled annual and seasonal cycle solution for radiative, turbulent, and water fluxes over Earth’s surface usin... read more here.
Keywords: energy water; water; cycle; inverse modeling ... See more keywords