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Robust Physics‐Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data [PDF]
Advanced ScienceAccurately estimating spatially heterogeneous elasticity parameters, particularly Young's modulus and Poisson's ratio, from noisy displacement measurements remains a significant challenge in inverse elasticity problems.
Tatthapong Srikitrungruang +4 more
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The Elasticity of a Random Variable as a Tool for Measuring and Assessing Risks
Risks, 2022 Elasticity is a very popular concept in economics and physics, recently exported and reinterpreted in the statistical field, where it has given form to the so-called elasticity function.
Ernesto-Jesús Veres-Ferrer +1 more
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The Role of Elasticity in the Vortex Formation in Polymeric Flow around a Sharp Bend
Applied Sciences, 2021 Fluid dynamic simulations using the FENE-P model of polymer physics are compared to those of an incompressible Newtonian fluid base case in order to understand the role of elasticity in the formation of vortices in a 90° bend narrow channel. The analysis
Brian Wojcik +3 more
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Physical Properties of Elastic Duplicating Materials [PDF]
Journal of Dental Research, 1960 Agar has been used for a number of years in the preparation of elastic duplicating materials. These duplicating materials have been used mainly in partial denture prosthesis for the preparation of a duplicate refectory cast of the original stone cast of the patient's mouth.
Craig, Robert G., Peyton, Floyd Avery
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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
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From Statistical Polymer Physics to Nonlinear Elasticity [PDF]
Archive for Rational Mechanics and Analysis, 2020 50 pages, 1 ...
Cicalese, Marco +2 more
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Applied Sciences, 2023 Numerical methods, such as finite element or finite difference, have been widely used in the past decades for modeling solid mechanics problems by solving partial differential equations (PDEs).
Yawen Deng +5 more
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Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems
Advanced Science, 2023 Elastography is a medical imaging technique used to measure the elasticity of tissues by comparing ultrasound signals before and after a light compression. The lateral resolution of ultrasound is much inferior to the axial resolution.
Chun‐Teh Chen, Grace X. Gu
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Fractons, non-Riemannian geometry, and double field theory
Physical Review Research, 2022 We initiate a systematic study of fracton physics within the geometric framework of double field theory. We ascribe the immobility and large degeneracy of the former to the non-Riemannian backgrounds of the latter, in terms of generalized geodesics and ...
Stephen Angus +2 more
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Matrix Elasticity and Nuclear Physics [PDF]
Biophysical Journal, 2010 Physical cues such as matrix elasticity can affect cell morphology, mechanics, and even differentiation. Human mesenchymal stem cells (MSCs) have previously been shown to change shape and specify lineage toward neurons, muscle, and bone based on tissue-like elasticity (E ∼ 1 - 34 kPa) which has been mimicked with polyacrylamide gels coated with ...
Rehfeldt, Florian +4 more
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