SELECTED PUBLICATIONS
(*: These authors contributed equally to this work, #:corresponding author)
Q. Chen, H.Li, X. Zheng#, A Deep Neural Network for Operator Learning Enhanced by Attention and Gating
Mechanisms for Long-time Forecasting of Tumor Growth, Accepted, Engineering with Computers (IF:8.7), 2024.
Q. Chen, Q.Ye, W.Zhang, H.Li, X. Zheng#, TGM-Nets: A Deep Learning framework for enhanced forecasting of
tumor growth by integrating imaging and Modeling, Engineering Applications of Artificial Intelligence (IF:8.0), 2023.
K.Boster,S.Cai,A.Guevara,J.Sun,X.Zheng,M.Nedergaard,D..Kelley,G.E.Karniadakis,Artificial Intelligence velocimetry reveals in vivo pressure gradients in brain cerebrospinalfluid,Proceedings of the National Academy of Sciences (PNAS,IF:9.5), 2022.
E.Kharazmi.,M.Cai,X.Zheng,Z.Zhang,G.Lin,G.E.Karniadakis,Identifiability and predictability of integer-andfractional-orderepidemiological models using physics-informed neural networks,Nature Computational Science (IF:11.4),1(11), 744-753, 2021.
X.Zheng,Z.Wang,M.S.Triantafyllou,G.E.Karniadakis,Fluid elastic instability of a horizontal flexible pipe conveying two-phase flow,International Journal of Multiphase Flow (IF:3.6), 2021.
Z. Wang, X. Zheng, C. Chryssostomidis, G. E. Karniadakis, A phase-field method for boiling heat transfer, Journal of Computational Physics (IF:3.8), 2020.
M. Yin, X. Zheng, J. D. Humphrey, G. E. Karniadakis, Non-invasive inference of thrombus material properties with physics-informed neural networks, Computer Methods in Applied Engineering and Mechanics (IF:4.8), 2020.
H. Li*, K. Sampani*, X. Zheng*, D. P. Papageorgiou, A. Yazdani, M. O. Bernabeu, G. E. Karniadakis, J. K. Sun, Predictive modeling of thrombus formation in diabetic retinal microaneurysms, Journal of the Royal Society Interface (IF:3.8), 2020.
M. Carlson*, X. Zheng*, H. Sundar, M. Kirby, G. E. Karniadakis. An open-source parallel code for computing the fractional Laplacian on 3D complex-geometry domains, Computer Physics Communications, 2020.
X. Zheng, A. Yazdani, H. Li, J. D. Humphrey, G. E. Karniadakis, A 3D phase-field model for multiscale simulation of the interaction between blood and thrombus in arterial vessels, PLOS Computational Biology, 16, e1007709, 2020.
A. Lischke, G. Pang, M. Gulian, F. Song, C. Glusa, X. Zheng, Z. Mao, W. Cai, M. Ainsworth, G. E. Karniadakis. What is the fractional Laplacian? A comparative review with new results. Journal of Computational Physics, 404, 109009, 2020, https://arxiv.org/abs/1801.09767.
F. Xie, X. Zheng, M. S. Triantafyllou, Y. Constantinides, Y. Zheng, G. E. Karniadakis. DNS of two-phase flow in an inclined pipe. Journal of Fluid Mechanics, 825,189-207, 2017, https://doi.org/10.1017/jfm.2017.417.
X. Zheng, G. E. Karniadakis. A phase-field/ALE method for simulating fluid-structure interactions in two-phase flow. Computer Methods in Applied Engineering and Mechanics, 309, 19-40, 2016, https://doi.org/10.1016/j.cma.2016.04.035.
F. Xie, X. Zheng, M. S. Triantafyllou, Y. Constantinides, G. E. Karniadakis, The flow dynamics of the garden-hose instability. Journal of Fluid Mechanics, 800, 595-612, 2016, https://doi.org/10.1017/jfm.2016.364.
X. Zheng, H. Babaee, S. Dong, C. Chryssostomidis, G. E. Karniadakis. A Phase-Field Method for 3D Simulation of Two-Phase Heat Transfer. International Journal of Heat and Mass Transfer, 82, 282-298, 2015, http://doi.org/10.1016/j.ijheatmasstransfer.2014.11.052.
X. Zheng, S. Dong. An eigen-based high-order expansion basis for structured spectral elements. Journal of Computational Physics, 230,8573-8602, 2012, http://doi.org/10.1016/j.jcp.2011.08.009.
S. Dong, X. Zheng. Direct numerical simulation of spiral turbulence. Journal of Fluid Mechanics, 668, 150-173, 2011, https://doi.org/10.1017/S002211201000460X.
Y. P. Xin, J. Liu, X. Zheng. A Cross-Cultural Lesson Comparison on Teaching the Connection between Multiplication and Division. School Science and Mathematics, 111(7), 354-367, 2011, http://doi.org/10.1111/j.1949-8594.2011.00098.x.