Results 1 to 10 of about 2,206,964 (375)
Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems [PDF]
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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Pillar of Physics Education: Jurnal Berkala Ilmiah Pendidikan Fisika, 2022 The breakneck internet access speed evidences the progress of society in the 21st century. Internet access speed is a form of community progress 5.0 in obtaining quality information.
Vivi Mardian +4 more
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Cauchy relations in linear elasticity: Algebraic and physics aspects
Journal of Elasticity, 2023 The Cauchy relations distinguish between rari- and multi-constant linear elasticity theories. These relations are treated in this paper in a form that is invariant under two groups of transformations: indices permutation and general linear transformations of the basis. The irreducible decomposition induced by the permutation group is outlined.
Yakov Itin
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From Statistical Polymer Physics to Nonlinear Elasticity [PDF]
Archive for Rational Mechanics and Analysis, 2020 50 pages, 1 ...
Marco Cicalese +2 more
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Finite electro-elasticity with physics-augmented neural networks [PDF]
Computer Methods in Applied Mechanics and Engineering, 2022 In the present work, a machine learning based constitutive model for electro-mechanically coupled material behavior at finite deformations is proposed. Using different sets of invariants as inputs, an internal energy density is formulated as a convex neural network.
Dominik K. Klein +3 more
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International 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
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Physics-informed UNets for Discovering Hidden Elasticity in Heterogeneous Materials [PDF]
Journal of The Mechanical Behavior of Biomedical Materials, 2023 Soft biological tissues often have complex mechanical properties due to variation in structural components. In this paper, we develop a novel UNet-based neural network model for inversion in elasticity (El-UNet) to infer the spatial distributions of ...
Ali Kamali, Kaveh Laksari
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Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity [PDF]
Journal of Machine Learning for Modeling and Computing, 2023 Regular physics-informed neural networks (PINNs) predict the solution of partial differential equations using sparse labeled data but only over a single domain.
Ali Kashefi +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 ...
Florian Rehfeldt +4 more
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A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity [PDF]
Journal of engineering mechanics, 2021 We explore an application of the Physics Informed Neural Networks (PINNs) in conjunction with Airy stress functions and Fourier series to find optimal solutions to a few reference biharmonic problems of elasticity and elastic plate theory.
M. Vahab +3 more
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