Direct Data-Driven Algorithms for Multiscale Mechanics

• Efficient Evaluation of Mechanical Properties for Two-Phase Materials Using a Direct Data-Driven Approach

  2025 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access

  0

  citations

1 result

• Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning

  2020 Journal of Computational Physics article Materials Science Machine Learning in Materials Science Open access cited by 3 patents

  341

  citations
• Theory and implementation of inelastic Constitutive Artificial Neural Networks

  2024 Computer Methods in Applied Mechanics and Engineering article Engineering Elasticity and Material Modeling Open access

  84

  citations
• Model-free data-driven computational mechanics enhanced by tensor voting

  2020 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

  82

  citations
• A Review of FE-FFT-Based Two-Scale Methods for Computational Modeling of Microstructure Evolution and Macroscopic Material Behavior

  2022 Archives of Computational Methods in Engineering article Engineering Composite Material Mechanics Open access

  77

  citations
• Model-free Data-Driven inference in computational mechanics

  2022 Computer Methods in Applied Mechanics and Engineering article Decision Sciences Probabilistic and Robust Engineering Design Open access

  32

  citations
• Theory and implementation of inelastic Constitutive Artificial Neural Networks

  2023 RWTH Publications (RWTH Aachen) preprint Engineering Elasticity and Material Modeling Open access

  9

  citations

6 results