mech[Ai]
Computational Mechanics & Artificial Intelligence Lab
Nick Napoleon Vlassis is an Assistant Professor in the Department of Mechanical & Aerospace Engineering at Rutgers University.
Home
About
Publications
Google Scholar
Hiring
News Feed
![](https://freight.cargo.site/t/original/i/1b24e6945599f1c7798be5decbae89775d73691eb229923aa69fc24cb4feac70/mechAilog.gif)
Computational Mechanics & Artificial Intelligence Lab
![](https://freight.cargo.site/t/original/i/9e939ddd456c0c79ae0257f75574ca966c21fe4e4f52e08c9ac556a6700356d6/Photo-Vlassis-BW.png)
Nick Napoleon Vlassis is an Assistant Professor in the Department of Mechanical & Aerospace Engineering at Rutgers University.
Home
About
Publications
Google Scholar
Hiring
News Feed
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