| 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 | 573 | 2019 |
| 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 | 318 | 2022 |
| 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 | 183 | 2013 |
| Physics-informed deep neural operator networks S Goswami, A Bora, Y Yu, GE Karniadakis Machine Learning in Modeling and Simulation: Methods and Applications, 219-254, 2023 | 170 | 2023 |
| 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 | 126 | 2017 |
| 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 | 117 | 2016 |
| Fractional modeling of viscoelasticity in 3D cerebral arteries and aneurysms Y Yu, P Perdikaris, GE Karniadakis Journal of computational physics 323, 219-242, 2016 | 100 | 2016 |
| 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 | 96 | 2022 |
| 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 | 93 | 2019 |
| 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 | 91 | 2021 |
| 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 | 85 | 2022 |
| 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 | 82 | 2020 |
| 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 | 77 | 2022 |
| 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 | 72 | 2021 |
| 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 | 69 | 2021 |
| Generalized fictitious methods for fluid–structure interactions: analysis and simulations Y Yu, H Baek, GE Karniadakis Journal of Computational Physics 245, 317-346, 2013 | 68 | 2013 |
| Suppression of vortex-induced vibrations by fairings: a numerical study Y Yu, F Xie, H Yan, Y Constantinides, O Oakley, GE Karniadakis Journal of Fluids and Structures 54, 679-700, 2015 | 56 | 2015 |
| Nonlocal Operator Learning for Homogenized Models: From High-fidelity Simulations to Constitutive Laws H You, Y Yu, S Silling, M D’Elia Journal of Peridynamics and Nonlocal Modeling, 1-16, 2024 | 53* | 2024 |
| 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 | 49 | 2018 |
| 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 | 48 | 2022 |
Huaiqian YouLehigh Universitylehigh.edu의 이메일 확인됨