Articles with public access mandates - Enrui ZhangLearn more
Not available anywhere: 2
A Computational Model of Bio-Inspired Soft Network Materials for Analyzing Their Anisotropic Mechanical Properties
E Zhang, Y Liu, Y Zhang
Journal of Applied Mechanics 85 (7), 071002, 2018
Mandates: National Natural Science Foundation of China
DDDAS for Systems Analytics in Applied Mechanics
A Korobenko, S Niu, X Deng, E Zhang, V Srivastava, Y Bazilevs
International Conference on Dynamic Data Driven Applications Systems, 353-361, 2022
Mandates: US Department of Defense
Available somewhere: 9
Analyses of Internal Structures and Defects in Materials Using Physics-Informed Neural Networks
E Zhang, M Dao, GE Karniadakis, S Suresh
Science Advances 8 (7), eabk0644, 2022
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Fatigue Fracture of Nearly Elastic Hydrogels
E Zhang, R Bai, XP Morelle, Z Suo
Soft Matter 14 (18), 3563-3571, 2018
Mandates: US National Science Foundation
Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems
M Yin, E Zhang, Y Yu, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering, 115027, 2022
Mandates: US National Science Foundation, US National Institutes of Health
Recent advances and applications of machine learning in experimental solid mechanics: A review
H Jin, E Zhang, HD Espinosa
Applied Mechanics Reviews 75 (6), 061001, 2023
Mandates: US National Science Foundation, US Department of Defense
Modeling finite-strain plasticity using physics-informed neural network and assessment of the network performance
S Niu, E Zhang, Y Bazilevs, V Srivastava
Journal of the Mechanics and Physics of Solids 172, 105177, 2023
Mandates: US Department of Defense, US Department of Transportation
Simulating Progressive Intramural Damage Leading to Aortic Dissection Using DeepONet: an Operator-Regression Neural Network
M Yin, E Ban, BV Rego, E Zhang, C Cavinato, JD Humphrey, ...
Journal of the Royal Society Interface 19 (187), 20210670, 2022
Mandates: US National Institutes of Health
A hybrid iterative numerical transferable solver (hints) for pdes based on deep operator network and relaxation methods
E Zhang, A Kahana, E Turkel, R Ranade, J Pathak, GE Karniadakis
arXiv preprint arXiv:2208.13273, 198, 2022
Mandates: US Department of Energy, Swiss National Science Foundation, US Department of …
A generative modeling framework for inferring families of biomechanical constitutive laws in data-sparse regimes
M Yin, Z Zou, E Zhang, C Cavinato, JD Humphrey, GE Karniadakis
Journal of the Mechanics and Physics of Solids 181, 105424, 2023
Mandates: US Department of Defense, US National Institutes of Health
G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning
E Zhang, B Spronck, JD Humphrey, GE Karniadakis
PLOS Computational Biology 18 (10), e1010660, 2022
Mandates: US National Institutes of Health, European Commission
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