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Zeliang Liu
Zeliang Liu
Apple Inc. | Ansys Inc. | Northwestern University
Bestätigte E-Mail-Adresse bei apple.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
4812017
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
3912016
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
2552021
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
2322019
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
2152018
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
1502019
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
1482018
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
1282018
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
802018
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
642018
Transfer learning of deep material network for seamless structure–property predictions
Z Liu, CT Wu, M Koishi
Computational Mechanics 64 (2), 451-465, 2019
472019
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
442020
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
402016
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
362018
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
352015
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
232018
Intelligent multiscale simulation based on process-guided composite database
Z Liu, H Wei, T Huang, CT Wu
arXiv preprint arXiv:2003.09491, 2020
222020
Cell division in deep material networks applied to multiscale strain localization modeling
Z Liu
Computer Methods in Applied Mechanics and Engineering 384, 113914, 2021
192021
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
172017
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
162022
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