Results 11 to 20 of about 2,206,964 (375)
Ultrasound Elasticity Imaging Using Physics-based Models And Learning-based Plug-And-Play Priors [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Existing physical model-based imaging methods for ultrasound elasticity reconstruction utilize fixed variational regularizers that may not be appropriate for the application of interest or may not capture complex spatial prior information about the ...
Narges Mohammadi +2 more
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Designing of virtual laboratory on elasticity for Physics learning [PDF]
Journal of Physics: Conference Series, 2023 Elasticity is one of the materials that students learn through laboratory experiments. In general, real and virtual laboratory conditions are still limited to spring elasticity experiments where the elasticity properties can be observed directly to ...
Dina Rahmi Darman +3 more
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Development of physics learning media based on Lectora Inspire Software on the elasticity and Hooke’s law material in senior high school [PDF]
Journal of Physics: Conference Series, 2019 The purpose of this research was to develop physics learning media based on software lectora inspire at elasticity and Hooke’s law material that are valid, practical, and effective. This development stages follow ADDIE model that consists of five phases (
Riqi Kurniawan +3 more
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DFT-continuum characterization of third-order elasticity of sI methane hydrates under pressure
Materials Research Express, 2023 Methane gas hydrates (GHs) are polyhedral crystalline guest-host materials found under high pressure and low-temperature conditions, which can serve as an energy source.
Xiaodan Zhu +3 more
doaj +2 more sources
A physics‐based model reduction approach for node‐to‐segment contact problems in linear elasticity [PDF]
International Journal for Numerical Methods in Engineering, 2022 The article presents a novel model order reduction method for mechanical problems in linear elasticity with nonlinear contact conditions. Recently, we have proposed an efficient reduction scheme for the node‐to‐node formulation [Manvelyan et al., Comput ...
Diana Manvelyan, Bernd Simeon, Utz Wever
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PILLAR OF PHYSICS EDUCATION, 2023 Education in the era of the industrial revolution 4.0 is not enough just to read and write and numeracy. One of the 16 life skills that students must have in this industrial revolution era is scientific literacy.
Anisa Puspa Utami +3 more
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Energy-Based Error Bound of Physics-Informed Neural Network Solutions in Elasticity [PDF]
Journal of engineering mechanics, 2022 An energy-based a posteriori error bound is proposed for the physics-informed neural network solutions of elasticity problems. An admissible displacement-stress solution pair is obtained from a mixed form of physics-informed neural networks, and the ...
Mengwu Guo, Ehsan Haghighat
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Acta Biomaterialia, 2022 Elasticity imaging is a technique that discovers the spatial distribution of mechanical properties of tissue using deformation and force measurements under various loading conditions.
Ali Kamali +2 more
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Fractional Gradient Elasticity from Spatial Dispersion Law [PDF]
ISRN Condensed Matter Physics. Vol.2014. (2014) 794097, 2013 Non-local elasticity models in continuum mechanics can be treated with two different approaches: the gradient elasticity models (weak non-locality) and the integral non-local models (strong non-locality). This article focuses on the fractional generalization of gradient elasticity that allows us to describe a weak non-locality of power-law type.
Tarasov, Vasily E.
arxiv +6 more sources
Separable Physics-Informed Neural Networks for the solution of elasticity problems
arXiv.orgA method for solving elasticity problems based on separable physics-informed neural networks (SPINN) in conjunction with the deep energy method (DEM) is presented.
Vasiliy A. Es’kin +4 more
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