23 citations · 55 across the 16 of their papers we have counts for
3 papers · 1 filter
Predicting cement microstructure and mechanical properties in hydrating cement paste with a Phase-Field model
Alexandre Sac-Morane, Katerina Ioannidou, Manolis Veveakis +1
Predicting the evolving microstructure of hydrating cement is essential for understanding and modeling its mechanical property development. Physics-based continuum approaches offer…
Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models
Valerie Tsao, Nathaniel W. Chaney, Manolis Veveakis
The large underlying assumption of climate models today relies on the basis of a "confident" initial condition, a reasonably plausible snapshot of the Earth for which all future pr…
Learning Latent Hardening (LLH): Enhancing Deep Learning with Domain Knowledge for Material Inverse Problems
Qinyi Tian, Winston Lindqwister, Manolis Veveakis +1
Advancements in deep learning and machine learning have improved the ability to model complex, nonlinear relationships, such as those encountered in complex material inverse proble…