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Robust Physics‐Informed Neural Network Approach for Estimating Heterogeneous Elastic Properties from Noisy Displacement Data [PDF]

open access: yesAdvanced Science
Accurately 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
doaj   +2 more sources

Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems

open access: yesAdvanced 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
doaj   +2 more sources

The Elasticity of a Random Variable as a Tool for Measuring and Assessing Risks

open access: yesRisks, 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
doaj   +1 more source

The Role of Elasticity in the Vortex Formation in Polymeric Flow around a Sharp Bend

open access: yesApplied 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
doaj   +1 more source

DFT-continuum characterization of third-order elasticity of sI methane hydrates under pressure

open access: yesMaterials 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   +1 more source

Modeling a Typical Non-Uniform Deformation of Materials Using Physics-Informed Deep Learning: Applications to Forward and Inverse Problems

open access: yesApplied 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
doaj   +1 more source

Fractons, non-Riemannian geometry, and double field theory

open access: yesPhysical 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
doaj   +1 more source

Analysis of students' difficulties on the material elasticity and harmonic oscillation in the inquiry-based physics learning in senior high school

open access: yesInternational Journal of Science and Applied Science: Conference Series, 2017
The purpose of this research is to analyze of students' difficulties on the material elasticity and harmonic oscillation in the inquiry-based physics learning. It has eight stages.
Halimatus Sa’diyah   +2 more
doaj   +1 more source

PENGEMBANGAN INSTRUMEN PENILAIAN HASIL BELAJAR FISIKA BERORIENTASI HOTS (Higher Order Thinking Skills) PADA MATERI ELASTISITAS DAN HUKUM HOOKE

open access: yesJurnal Kumparan Fisika, 2020
ABSTRAK   Tujuan dari penelitian ini yaitu: 1) menghasilkan desain instrumen penilaian hasil belajar fisika berorientasi HOTS, 2) mengembangkan instrumen penilaian hasil belajar fisika berorientasi HOTS (Higher Order Thinking Skills) yang valid dan 3 ...
Dona Desilva   +2 more
doaj   +3 more sources

General up to next-nearest neighbour elasticity of triangular lattices in three dimensions [PDF]

open access: yes, 2006
We establish the most general form of the discrete elasticity of a 2D triangular lattice embedded in three dimensions, taking into account up to next-nearest neighbour interactions. Besides crystalline system, this is relevant to biological physics (e.g.,
Dubus, Cyril   +2 more
core   +4 more sources

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