Physics-informed data-driven discovery of constitutive models with application to strain-rate-sensitive soft materials
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A novel data-driven constitutive modeling approach is proposed, which combines the physics-informed nature of modeling based on continuum thermodynamics with the benefits of machine learning. This approach is demonstrated on strain-rate-sensitive soft material... ...
