Author

Usa

3 papers indexed here

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Preprint Sep 2026

Fully differentiable framework for inverse identification of geometry and material parameters with application to determining stress-free configuration of soft tissues

Medical images of soft tissues typically depict loaded configurations rather than true unloaded (stress-free) states, which can bias biomechanical simulations and inverse material identification. A gradient-based inverse finite element framework is presented that jointly reconstructs an effective unloaded reference geo...

Hyun-Ok Bae, Tian-Yi Hu, A. Tepole et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Physics-Informed Neural Networks to Infer the Perpendicular Energy Conductivity in the Scrape-Off Layer of Stellarator Devices

In this work, we develop an inverse Physics-Informed Neural Network (PINN) framework to infer the dependence of the scrape-off layer (SOL) perpendicular heat conductivity on plasma density and temperature, $\kappa_\perp(n,T)$. The method combines radial profile measurements of electron density and temperature with the...

J. Gallego, P. Protopapas, A. de Bustos et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Data-Driven Discovery of Composition-Dependent Constitutive Models for Hyperelasticity and Viscoelasticity of Digital Materials

Digital materials fabricated by multi-material 3D printing are designed as controlled mixtures of stiff and compliant constituents, yielding effective responses that span more than an order of magnitude in apparent stiffness and exhibit strongly nonlinear, composition-dependent, and rate-dependent dissipative behavior....

Josué García-Ávila, Bei-Jun Shen, Manuel K. Rausch et al. · 0 citations