Nikolaos Vlassis
According to our database1,
Nikolaos Vlassis
authored at least 12 papers
between 2020 and 2024.
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Collaborative distances:
Timeline
2020
2021
2022
2023
2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural Language.
CoRR, 2024
2023
CoRR, 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties.
CoRR, 2023
2022
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter.
CoRR, 2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity.
CoRR, 2022
2021
MD-inferred neural network monoclinic finite-strain hyperelasticity models for β-HMX: Sobolev training and validation against physical constraints.
CoRR, 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation.
CoRR, 2021
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph.
CoRR, 2021
2020
Sobolev training of thermodynamic-informed neural networks for smoothed elasto-plasticity models with level set hardening.
CoRR, 2020
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity.
CoRR, 2020