A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality MA Bessa, R Bostanabad, Z Liu, A Hu, DW Apley, C Brinson, W Chen, ... Computer Methods in Applied Mechanics and Engineering 320, 633-667, 2017 | 507 | 2017 |
Self-consistent clustering analysis: an efficient multi-scale scheme for inelastic heterogeneous materials Z Liu, MA Bessa, WK Liu Computer Methods in Applied Mechanics and Engineering 306, 319-341, 2016 | 411 | 2016 |
Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks Q Zhu, Z Liu, J Yan Computational Mechanics 67, 619-635, 2021 | 305 | 2021 |
A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials Z Liu, CT Wu, M Koishi Computer Methods in Applied Mechanics and Engineering 345, 1138-1168, 2019 | 245 | 2019 |
Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing W Yan, S Lin, OL Kafka, Y Lian, C Yu, Z Liu, J Yan, S Wolff, H Wu, ... Computational Mechanics 61, 521-541, 2018 | 232 | 2018 |
Exploring the 3D architectures of deep material network in data-driven multiscale mechanics Z Liu, CT Wu Journal of the Mechanics and Physics of Solids 127, 20-46, 2019 | 158 | 2019 |
Microstructural material database for self-consistent clustering analysis of elastoplastic strain softening materials Z Liu, M Fleming, WK Liu Computer Methods in Applied Mechanics and Engineering 330, 547-577, 2018 | 157 | 2018 |
An integrated process–structure–property modeling framework for additive manufacturing W Yan, Y Lian, C Yu, OL Kafka, Z Liu, WK Liu, GJ Wagner Computer Methods in Applied Mechanics and Engineering 339, 184-204, 2018 | 134 | 2018 |
Modeling process-structure-property relationships for additive manufacturing W Yan, S Lin, OL Kafka, C Yu, Z Liu, Y Lian, S Wolff, J Cao, GJ Wagner, ... Frontiers of Mechanical Engineering 13, 482-492, 2018 | 92 | 2018 |
Data-driven self-consistent clustering analysis of heterogeneous materials with crystal plasticity Z Liu, OL Kafka, C Yu, WK Liu Advances in Computational Plasticity: A Book in Honour of D. Roger J. Owen …, 2018 | 65 | 2018 |
Transfer learning of deep material network for seamless structure–property predictions Z Liu, CT Wu, M Koishi Computational Mechanics 64 (2), 451-465, 2019 | 53 | 2019 |
Deep material network with cohesive layers: Multi-stage training and interfacial failure analysis Z Liu Computer Methods in Applied Mechanics and Engineering 363, 112913, 2020 | 47 | 2020 |
An extended micromechanics method for probing interphase properties in polymer nanocomposites Z Liu, JA Moore, WK Liu Journal of the Mechanics and Physics of Solids 95, 663-680, 2016 | 40 | 2016 |
Data-driven mechanistic modeling of influence of microstructure on high-cycle fatigue life of nickel titanium OL Kafka, C Yu, M Shakoor, Z Liu, GJ Wagner, WK Liu JOM 70, 1154-1158, 2018 | 36 | 2018 |
A statistical descriptor based volume-integral micromechanics model of heterogeneous material with arbitrary inclusion shape Z Liu, JA Moore, SM Aldousari, HS Hedia, SA Asiri, WK Liu Computational Mechanics 55, 963-981, 2015 | 35 | 2015 |
Intelligent multiscale simulation based on process-guided composite database Z Liu, H Wei, T Huang, CT Wu arXiv preprint arXiv:2003.09491, 2020 | 24 | 2020 |
A stable and convergent Lagrangian particle method with multiple nodal stress points for large strain and material failure analyses in manufacturing processes CT Wu, Y Wu, Z Liu, D Wang Finite Elements in Analysis and Design 146, 96-106, 2018 | 24 | 2018 |
Microstructure-guided deep material network for rapid nonlinear material modeling and uncertainty quantification T Huang, Z Liu, CT Wu, W Chen Computer Methods in Applied Mechanics and Engineering 398, 115197, 2022 | 22 | 2022 |
Cell division in deep material networks applied to multiscale strain localization modeling Z Liu Computer Methods in Applied Mechanics and Engineering 384, 113914, 2021 | 21 | 2021 |
Modular-based multiscale modeling on viscoelasticity of polymer nanocomposites Y Li, Z Liu, Z Jia, WK Liu, SM Aldousari, HS Hedia, SA Asiri Computational Mechanics 59, 187-201, 2017 | 19 | 2017 |