Computational Mechanics & Artificial Intelligence Lab
Nick Napoleon Vlassis is an Assistant Professor in the Department of Mechanical & Aerospace Engineering at Rutgers University.
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Geometric Deep Learning for Computational Mechanics Part I: Anisotropic Hyperelasticity
Geometric Deep Learning for Computational Mechanics Part II: Graph Embedding for Interpretable Multiscale Plasticity
Sobolev Training of Thermodynamic-Informed Neural Networks for Interpretable Elasto-Plasticity Models with Level Set Hardening
Molecular Dynamics Inferred Transfer Learning Models for Finite-Strain Hyperelasticity of Monoclinic Crystals: Sobolev Training and Validations Against Physical Constraints
Component-Based Machine Learning Paradigm for Discovering Rate-Dependent and Pressure-Sensitive Level-Set Plasticity Models
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties
nick.vlassis@rutgers.edu
ID3EA DEMO DOWNLOAD
ID3EA: Applied Artificial Intelligence for Engineering Mechanics Showcase
November 5, 2025
Download the interactive demo:
https://drive.google.com/file/d/1thAaYaXC8S3Zm9YMJqdsAsBBy5iUInnB/view?usp=drive_link
https://drive.google.com/file/d/1thAaYaXC8S3Zm9YMJqdsAsBBy5iUInnB/view?usp=drive_link
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