Nikolaos Bouklas
Prof Assoc
Mechanical & Aerospace Engr DEPT · EN
124 publications
2,481 citations
25 h-index
Physics and Astronomy
Recent Papers (14)
2026-01-15 · Computer Methods in Applied Mechanics and Engineering · Materials Chemistry
Instabilities and phase transitions in architected metamaterials: a gradient-enhanced continuum approach
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2026-01-10 · Journal of the Mechanics and Physics of Solids · Mechanics of Materials
Capturing the fractocohesive length scale in elastomers through a statistical mechanics-based gradient enhanced damage model
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2025-12-25 · Journal of the Mechanics and Physics of Solids · Mechanics of Materials
The effect of fiber plasticity on domain formation in soft biological composites—Part I: A bifurcation analysis
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2025-12-03 · Materials Advances
Mechanically driven bacteria-based crack detection
Ilana BritoProf Assoc, Biomedical Engineering DEPT · EN
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
Andrea GiomettoProf Asst, Civil & Environmental Engr DEPT · EN
2024-06-07
Establishing the relationship between generalized crystallographic texture and macroscopic yield surfaces using partial input convex neural networks
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2022-08-11
Learning hyperelastic anisotropy from data via a tensor basis neural network
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2022-08-04
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2022-04-09
On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2022-01-03
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: Comparison with linear subspace techniques
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2021-11-12
The mixed Deep Energy Method for resolving concentration features in finite strain hyperelasticity
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2021-10-21
Local approximate Gaussian process regression for data-driven constitutive models: development and comparison with neural networks
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2021-07-09
Model-data-driven constitutive responses: Application to a multiscale computational framework
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2021-04-15
The mixed deep energy method for resolving concentration features in\n finite strain hyperelasticity
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN
2021-01-28
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation
Nikolaos BouklasProf Assoc, Mechanical & Aerospace Engr DEPT · EN