activity
20182021
most citedA deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials

325 citations · 657 across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cond-mat.mtrl-sci2019★ 64 cited

Deep material network with cohesive layers: Multi-stage training and interfacial failure analysis

Zeliang Liu

A fundamental issue in multiscale materials modeling and design is the consideration of traction-separation behavior at the interface. By enriching the deep material network (DMN)…

cs.CE2019★ 200 cited

Exploring the 3D architectures of deep material network in data-driven multiscale mechanics

Zeliang Liu, C. T. Wu

This paper extends the deep material network (DMN) proposed by Liu et al. (2019) to tackle general 3-dimensional (3D) problems with arbitrary material and geometric nonlinearities.…