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Adrián Buganza-Tepole Department of Mechanical Engineering

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#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

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