Articoli con mandati relativi all'accesso pubblico - Yue YuUlteriori informazioni
Non disponibili pubblicamente: 2
Fluid-structure interaction modeling in 3d cerebral arteries and aneurysms
Y Yu
Biomedical Technology: Modeling, Experiments and Simulation, 123-146, 2018
Mandati: US National Science Foundation
A semi‐local spectral/hp element solver for linear elasticity problems
Y Yu, ML Bittencourt, GE Karniadakis
International Journal for Numerical Methods in Engineering 100 (5), 347-373, 2014
Mandati: US Department of Energy
Disponibili pubblicamente: 45
DAG-GNN: DAG structure learning with graph neural networks
Y Yu, J Chen, T Gao, M Yu
International conference on machine learning, 7154-7163, 2019
Mandati: US National Science Foundation
A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials
S Goswami, M Yin, Y Yu, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 391, 114587, 2022
Mandati: US National Science Foundation, US Department of Energy, US Department of …
Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge
DA Steinman, Y Hoi, P Fahy, L Morris, MT Walsh, N Aristokleous, ...
Journal of biomechanical engineering 135 (2), 021016, 2013
Mandati: Canadian Institutes of Health Research, Heart and Stroke Foundation of Canada
Immersogeometric cardiovascular fluid–structure interaction analysis with divergence-conforming B-splines
D Kamensky, MC Hsu, Y Yu, JA Evans, MS Sacks, TJR Hughes
Computer methods in applied mechanics and engineering 314, 408-472, 2017
Mandati: US Department of Defense, US National Institutes of Health
The non-symmetric Nitsche method for the parameter-free imposition of weak boundary and coupling conditions in immersed finite elements
YZ Dominik Schillinger, Isaac Harari, Ming-Chen Hsu, David Kamensky, Stein K ...
Computer Methods in Applied Mechanics and Engineering 309, 625-652, 2016
Mandati: US National Science Foundation
Fractional modeling of viscoelasticity in 3D cerebral arteries and aneurysms
Y Yu, P Perdikaris, GE Karniadakis
Journal of computational physics 323, 219-242, 2016
Mandati: US National Science Foundation, US Department of Energy, US National …
Data-driven learning of nonlocal physics from high-fidelity synthetic data
H You, Y Yu, N Trask, M Gulian, M D’Elia
Computer Methods in Applied Mechanics and Engineering 374, 113553, 2021
Mandati: US National Science Foundation, US Department of Energy
An asymptotically compatible meshfree quadrature rule for nonlocal problems with applications to peridynamics
N Trask, H You, Y Yu, ML Parks
Computer Methods in Applied Mechanics and Engineering 343, 151-165, 2019
Mandati: US National Science Foundation, US Department of Energy
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 402, 115027, 2022
Mandati: US National Science Foundation, US National Institutes of Health
Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling
H You, Q Zhang, CJ Ross, CH Lee, Y Yu
Computer Methods in Applied Mechanics and Engineering 398, 115296, 2022
Mandati: US National Science Foundation
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
D Wei, T Gao, Y Yu
Advances in Neural Information Processing Systems 33, 2020
Mandati: US National Science Foundation
Nonlocal kernel network (NKN): a stable and resolution-independent deep neural network
H You, Y Yu, M D'Elia, T Gao, S Silling
Journal of Computational Physics 469, 111536, 2022
Mandati: US National Science Foundation, US Department of Energy
A review of local-to-nonlocal coupling methods in nonlocal diffusion and nonlocal mechanics
M D’Elia, X Li, P Seleson, X Tian, Y Yu
Journal of Peridynamics and Nonlocal Modeling, 1-50, 2021
Mandati: US National Science Foundation, US Department of Energy
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Y Yu, T Gao, N Yin, Q Ji
Proceedings of the 38th International Conference on Machine Learning, 2021
Mandati: US National Science Foundation, US Department of Defense
A data-driven peridynamic continuum model for upscaling molecular dynamics
H You, Y Yu, S Silling, M D’Elia
Computer Methods in Applied Mechanics and Engineering 389, 114400, 2022
Mandati: US National Science Foundation, US Department of Energy
Error estimates for projection-based dynamic augmented Lagrangian boundary condition enforcement, with application to fluid–structure interaction
Y Yu, D Kamensky, MC Hsu, XY Lu, Y Bazilevs, TJR Hughes
Mathematical Models and Methods in Applied Sciences 28 (12), 2457-2509, 2018
Mandati: US National Science Foundation, US Department of Defense, US National …
A partitioned coupling framework for peridynamics and classical theory: analysis and simulations
Y Yu, FF Bargos, H You, ML Parks, ML Bittencourt, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 340, 905-931, 2018
Mandati: US National Science Foundation, US Department of Energy, US National …
A physically consistent, flexible, and efficient strategy to convert local boundary conditions into nonlocal volume constraints
M D'Elia, X Tian, Y Yu
SIAM Journal on Scientific Computing 42 (4), A1935-A1949, 2020
Mandati: US National Science Foundation, US Department of Energy
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