Nikolaos N. Vlassis

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Material Properties

Causal Relations

Top Venues

Publications

Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N. Vlassis, Moritz Flaschel, Pietro Carrara, Laura De Lorenzis
A review on data-driven constitutive laws for solids. CoRR (2024)
Nikolaos N. Vlassis, WaiChing Sun
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties. CoRR (2023)
Nikolaos N. Vlassis, WaiChing Sun, Khalid A. Alshibli, Richard A. Regueiro
Synthesizing realistic sand assemblies with denoising diffusion in latent space. CoRR (2023)
Nikolaos N. Vlassis, WaiChing Sun
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity. CoRR (2022)
Rubén Villarreal, Nikolaos N. Vlassis, Nhon N. Phan, Tommie A. Catanach, Reese E. Jones, Nathaniel A. Trask, Sharlotte L. B. Kramer, WaiChing Sun
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter. CoRR (2022)
Nikolaos N. Vlassis, Puhan Zhao, Ran Ma, Tommy Sewell, WaiChing Sun
MD-inferred neural network monoclinic finite-strain hyperelasticity models for β-HMX: Sobolev training and validation against physical constraints. CoRR (2021)
Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis, WaiChing Sun, Yanxun Xu
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation. CoRR (2021)
Nikolaos N. Vlassis, WaiChing Sun
Sobolev training of thermodynamic-informed neural networks for smoothed elasto-plasticity models with level set hardening. CoRR (2020)