Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:23:42.855842Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2505.04875.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:23:42.855842Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
75 of 75 outbound references displayed
External citation measurements
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method A deep learning energy method for hyperelasticity and viscoelasticity
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Jagtap Ameya D
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Anagnostopoulos, Juan Diego Toscano, Nikol aos Stergiopulos, and George Em Karniadakis
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Mininni, Martín Obligado, and Patricio Clark Di Leoni
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Physics and equalit y constrained artificial neural networks: Application to forward and inverse problems with multi-fidelity data fus ion
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Stress field prediction in fiber-reinforced composite materials using a deep learning approach
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Unresolved cited work
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Physics-Informed Neural Networks for Heat Transfer Problems
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method D eep least-squares methods: an unsupervised learning- based numerical method for solving elliptic PDEs
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Evolutional Deep Neural Network
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Wagner, Annamaria Scherzl, Ma rco Klein, Norbert Hoffmann, and Merten Stender
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Digital twins in mec hanical and aerospace engineering
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Zahr, and Jian-Xun Wang
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Jimack, and René de Bor st
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Flow field rec onstruction from sparse sensor measurements with physics-informed neural networks
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Jagtap, Ehsan Kharazmi, and George Em Karniada kis
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method NSFnets (Navier-Stokes Flow nets): Physics- informed neural networks for the incompressible Navier-St okes equations
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Physics-informed ne ural network for modeling dynamic linear elasticity, January 2024
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method VarNet: Variational Neural Networks for the Solution of Partial Differential Equations
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Review of Stru ctural Health Monitoring Methods Regarding a Multi- Sensor Approach for Damage Assessment of Metal and Composit e Structures
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Characterizing possible failure modes in physics-informed neural networks
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Unresolved cited work
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method NH-PINN: N eural homogenization-based physics-informed neural network for multiscale problems
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Physical informed neural net- works with soft and hard boundary constraints for solving ad vection-diffusion equations using Fourier expansions, December 2023
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Fourier Neural Operator for Parametric Partial Differential Equations
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Inve stigating deep energy method applications in thermoelasticity
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Maclaren and Ruanui Nicholson
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method A Deep Uzawa-Lagrange Multiplier Approach for Boundary Conditions in PINNs and Deep Ritz Methods
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method A deep energy method for finite deformation hyperelasticity
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method On the Spectral Bias of Neural Networks
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Barajas-Solano, and Alexandre M
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Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Solving Forward and Inverse Problems of Contact Mechanics using Physics-Informed Neural Networks
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