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| Non-invasive inference of thrombus material properties with physics-informed neural networks M Yin, X Zheng, JD Humphrey, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 375, 113603, 2021 | 140 | 2021 |
| Identifiability and predictability of integer-and fractional-order epidemiological models using physics-informed neural networks E Kharazmi, M Cai, X Zheng, Z Zhang, G Lin, GE Karniadakis Nature Computational Science 1 (11), 744-753, 2021 | 67 | 2021 |
| A three-dimensional phase-field model for multiscale modeling of thrombus biomechanics in blood vessels X Zheng, A Yazdani, H Li, JD Humphrey, GE Karniadakis PLoS computational biology 16 (4), e1007709, 2020 | 57 | 2020 |
| A phase-field method for 3D simulation of two-phase heat transfer X Zheng, H Babaee, S Dong, C Chryssostomidis, GE Karniadakis International Journal of Heat and Mass Transfer 82, 282-298, 2015 | 44 | 2015 |
| An eigen-based high-order expansion basis for structured spectral elements X Zheng, S Dong Journal of Computational Physics 230 (23), 8573-8602, 2011 | 44 | 2011 |
| Direct numerical simulation of spiral turbulence S Dong, X Zheng Journal of fluid mechanics 668, 150-173, 2011 | 37 | 2011 |
| Direct numerical simulations of two-phase flow in an inclined pipe F Xie, X Zheng, MS Triantafyllou, Y Constantinides, Y Zheng, ... Journal of Fluid Mechanics 825, 189-207, 2017 | 29 | 2017 |
| A phase-field method for boiling heat transfer Z Wang, X Zheng, C Chryssostomidis, GE Karniadakis Journal of Computational Physics 435, 110239, 2021 | 24 | 2021 |
| Predictive modelling of thrombus formation in diabetic retinal microaneurysms H Li, K Sampani, X Zheng, DP Papageorgiou, A Yazdani, MO Bernabeu, ... Royal Society open science 7 (8), 201102, 2020 | 23 | 2020 |
| A cross‐cultural lesson comparison on teaching the connection between multiplication and division YP Xin, J Liu, X Zheng School Science and Mathematics 111 (7), 354-367, 2011 | 19 | 2011 |
| Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows KAS Boster, S Cai, A Ladrón-de-Guevara, J Sun, X Zheng, T Du, ... Proceedings of the National Academy of Sciences 120 (14), e2217744120, 2023 | 18 | 2023 |
| A phase-field/ALE method for simulating fluid–structure interactions in two-phase flow X Zheng, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 309, 19-40, 2016 | 18 | 2016 |
| The flow dynamics of the garden-hose instability F Xie, X Zheng, MS Triantafyllou, Y Constantinides, GE Karniadakis Journal of Fluid Mechanics 800, 595-612, 2016 | 15 | 2016 |
| Fluid-structure interactions in a flexible pipe conveying two-phase flow X Zheng, Z Wang, MS Triantafyllou, GE Karniadakis International Journal of Multiphase Flow 141, 103667, 2021 | 14 | 2021 |
| TGM-Nets: A deep learning framework for enhanced forecasting of tumor growth by integrating imaging and modeling Q Chen, Q Ye, W Zhang, H Li, X Zheng Engineering Applications of Artificial Intelligence 126, 106867, 2023 | 7 | 2023 |
| An open-source parallel code for computing the spectral fractional Laplacian on 3D complex geometry domains M Carlson, X Zheng, H Sundar, GE Karniadakis, RM Kirby Computer Physics Communications 261, 107695, 2021 | 3 | 2021 |
| Computational fluid dynamics (CFD) estimation of thrombus formation in diabetic retinal microaneurysms (MAs) K Sampani, H Li, X Zheng, D Papageorgiou, MO Bernabeu, W Fickweiler, ... Investigative Ophthalmology & Visual Science 61 (7), 5023-5023, 2020 | 1 | 2020 |
| A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth Q Chen, H Li, X Zheng Engineering with Computers, 1-111, 2024 | | 2024 |
