Physics-Informed Neural Network-Based Discovery of Hyperelastic Constitutive Models from Extremely Scarce Data

Documenti analoghi

• An Energy‐Based Physics‐Informed Computational Framework for Forward and Inverse Flexoelectric Problems
  di: Hyeonbin Moon, et al.
  Pubblicazione: (2026)
• Thermal Conductivity Estimation of Thermoelectric Materials with Uncertainty Quantification Using Bayesian Physics-Informed Neural Networks
  di: Moon, Hyeonbin, et al.
  Pubblicazione: (2025)
• Physics-informed neural network framework for solving forward and inverse flexoelectric problems
  di: Moon, Hyeonbin, et al.
  Pubblicazione: (2025)
• Enhancing Prediction Performance and Generalizing for Transverse Behavior of Unidirectional Composites via Strategic Input Feature Augmentation
  di: Minwoo Park, et al.
  Pubblicazione: (2025)
• Physics-Informed Neural Operators for Generalizable and Label-Free Inference of Temperature-Dependent Thermoelectric Properties
  di: Moon, Hyeonbin, et al.
  Pubblicazione: (2025)