2024
Gong, Y., Kou, Y., Yue, Q., Zhuang, X., Qin, F., Wang, Q., & Rabczuk, T. (2024). The application of thermomechanically coupled phase-field models in electronic packaging interconnect structures. International Communications in Heat and Mass Transfer, 159, Article 108033. https://doi.org/10.1016/j.icheatmasstransfer.2024.108033
Hai, L., Zhang, H., Wriggers, P., Huang, Y. J., Zhuang, X. Y., & Xu, S. L. (2024). 3D concrete fracture simulations using an explicit phase field model. International Journal of Mechanical Sciences, 265, Article 108907. https://doi.org/10.1016/j.ijmecsci.2023.108907
Huynh, H. D., Nanthakumar, S. S., & Zhuang, X. (2024). Second-order Willis metamaterials: Gradient elasto-momentum coupling in flexoelectric composites. Journal of the Mechanics and Physics of Solids, 193, Article 105820. https://doi.org/10.1016/j.jmps.2024.105820
Liu, B., Lu, W., Olofsson, T., Zhuang, X., & Rabczuk, T. (2024). Stochastic interpretable machine learning based multiscale modeling in thermal conductivity of Polymeric graphene-enhanced composites. Composite Structures, 327, Article 117601. https://doi.org/10.1016/j.compstruct.2023.117601
Luo, J., Wang, Q., Zhou, W., Zhuang, X., Peng, Z., Chang, X., & Rabczuk, T. (2024). A coupled phase-field model for sulfate-induced concrete cracking. International Journal of Mechanical Sciences, 283, Article 109694. https://doi.org/10.1016/j.ijmecsci.2024.109694
Mortazavi, B., Timon, R., & Zhuang, X. (2024). Exploring the structural stability, thermal and mechanical properties of nanoporous carbon nitride nanosheets using a transferrable machine learning interatomic potential. Machine learning for computational science and engineering , 2025(1), Article 5. https://doi.org/10.1007/s44379-024-00008-6
Nanda, A., Kues, M., & Calà Lesina, A. (2024). Exploring the fundamental limits of integrated beam splitters with arbitrary phase via topology optimization. Optics letters, 49(5), 1125-1128. https://doi.org/10.1364/OL.512100
Ouyang, Q., Zhuang, X., Rabczuk, T., Ning, Y., Kang, G., & Chen, P. (2024). Implementation of three-dimensional contact algorithm in numerical manifold method for the structural impact simulation. International Journal of Impact Engineering, 193, Article 105040. https://doi.org/10.1016/j.ijimpeng.2024.105040
Ren, H., Zhuang, X., Fu, X., Li, Z., & Rabczuk, T. (2024). Bond-based nonlocal models by nonlocal operator method in symmetric support domain. Computer Methods in Applied Mechanics and Engineering, 418, Article 116230. https://doi.org/10.48550/arXiv.2301.00864, https://doi.org/10.1016/j.cma.2023.116230
Ren, H., Zhuang, X., Zhu, H., & Rabczuk, T. (2024). Variational damage model: A novel consistent approach to fracture. Computers and Structures, 305, Article 107518. https://doi.org/10.1016/j.compstruc.2024.107518
Rübeling, P., Heine, J., Johanning, R., & Kues, M. (2024). Quantum and coherent signal transmission on a single-frequency channel via the electro-optic serrodyne technique. Science advances, 10(30), Article eadn8907. https://doi.org/10.1126/sciadv.adn8907
Shojaei, F., Zhang, Q., Zhuang, X., & Mortazavi, B. (2024). Remarkably high tensile strength and lattice thermal conductivity in wide band gap oxidized holey graphene C2O nanosheet. Discover Nano, 19(1), Article 99. https://doi.org/10.1186/s11671-024-04046-0
Tran, T. V., Nguyen-Xuan, H., & Zhuang, X. (2024). Investigation of crack segmentation and fast evaluation of crack propagation, based on deep learning. Frontiers of Structural and Civil Engineering, 18(4), 516-535. https://doi.org/10.1007/s11709-024-1040-z
Wang, J., Li, P., Zhuang, X., Li, X., Jiang, X., & Wu, J. (2024). Multi-source data integration and multi-scale modeling framework for progressive prediction of complex geological interfaces in tunneling. Underground Space (China), 15, 1-25. https://doi.org/10.1016/j.undsp.2023.08.006
Wen, Z., Valizadeh, N., Rabczuk, T., & Zhuang, X. (2024). Hydrodynamics of multicomponent vesicles: A phase-field approach. Computer Methods in Applied Mechanics and Engineering, 432, Article 117390. https://doi.org/10.1016/j.cma.2024.117390
Wu, X., Jin, Y., Rabczuk, T., Zhu, H., & Zhuang, X. (2024). Experiment on broadband isolation of surface wave using pillared metastructures. Extreme Mechanics Letters, 70, Article 102180. https://doi.org/10.1016/j.eml.2024.102180
Yang, J., Liu, J., Li, W., Dai, J., Xue, F., & Zhuang, X. (2024). A multiscale poroelastic damage model for fracturing in permeable rocks. International Journal of Rock Mechanics and Mining Sciences, 175, Article 105676. https://doi.org/10.1016/j.ijrmms.2024.105676
Yang, R., Hong, C., Gong, Y., Huang, Z., Valizadeh, N., Zhou, S., Li, G., & Zhuang, X. (2024). Phase-field cohesive zone modeling of hydro-thermally induced fracture in hot dry rock during liquid nitrogen fracturing. Renewable energy, 223, Article 120070. https://doi.org/10.1016/j.renene.2024.120070
Yao, D., Zhu, H., Ren, B., & Zhuang, X. (2024). Improving single image localization through domain adaptation and large kernel attention with synthetic data. Engineering Applications of Artificial Intelligence, 137, Article 108951. https://doi.org/10.1016/j.engappai.2024.108951
Yue, Q., Wang, Q., Rabczuk, T., Zhou, W., Chang, X., & Zhuang, X. (2024). A review on modeling of graphene and associated nanostructures reinforced concrete. Nanotechnology reviews, 13(1), Article 20240033. https://doi.org/10.1515/ntrev-2024-0033
Yue, Q., Wang, Q., Rabczuk, T., Zhou, W., Zhuang, X., & Chang, X. (2024). A thermo-mechanical phase-field model for mixed-mode fracture and its application in rock-like materials. International Journal of Rock Mechanics and Mining Sciences, 183, Article 105907. https://doi.org/10.1016/j.ijrmms.2024.105907
Zhang, H., Li, Q. H., Zhang, X., Han, Y. S., Huang, Y. J., Hai, L., & Zhuang, X. Y. (2024). Stochastic fracture of concrete composites: A mesoscale methodology. Engineering fracture mechanics, 306, Article 110234. https://doi.org/10.1016/j.engfracmech.2024.110234
Zheng, X., Jin, Y., Cai, R., Rabczuk, T., Zhu, H., & Zhuang, X. (2024). Elastic surface wave attenuation in layered soil by metastructures. Low-Carbon Materials and Green Construction, 2(1), Article 5. https://doi.org/10.1007/s44242-024-00037-7
Zhuang, X., Fan, W., Guo, H., Chen, X., & Wang, Q. (2024). Surrounding rock classification from onsite images with deep transfer learning based on EfficientNet. Frontiers of Structural and Civil Engineering, 18(9), 1311-1320. https://doi.org/10.1007/s11709-024-1134-7
2023
Angulo, A. M., Heine, J., Gomez, J. S. S. D., Mahmudlu, H., Haldar, R., Klitis, C., Sorel, M., & Kues, M. (2023). Shaping the spectral correlation of bi-photon quantum frequency combs by multi-frequency excitation of an SOI integrated nonlinear resonator. Optics letters, 48(21), 5583-5586. https://doi.org/10.1364/OL.503909
Cai, R., Jin, Y., Li, Y., Zhu, J., Zhu, H., Rabczuk, T., & Zhuang, X. (2023). Absorption-lasing effects and exceptional points in parity-time symmetric non-Hermitian metaplates. Journal of sound and vibration, 555, Article 117710. https://doi.org/10.1016/j.jsv.2023.117710
Chu, W. H., Fu, Z. J., Tang, Z. C., Xu, W. Z., & Zhuang, X. Y. (2023). A machine learning approach coupled with polar coordinate based localized collocation method for inner surface identification in heat conduction problem. Computers and Mathematics with Applications, 148, 41-61. https://doi.org/10.1016/j.camwa.2023.07.031
Guo, H., Zhuang, X., Alajlan, N., & Rabczuk, T. (2023). Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning. Computers and Mathematics with Applications, 143, 303-317. https://doi.org/10.1016/j.camwa.2023.05.014
Guo, H., Zhuang, X., Fu, X., Zhu, Y., & Rabczuk, T. (2023). Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials. Computational mechanics, 72(3), 513-524. https://doi.org/10.1007/s00466-023-02287-x, https://doi.org/10.1007/s00466-023-02350-7
He, L., Li, Y., Torrent, D., Zhuang, X., Rabczuk, T., & Jin, Y. (2023). Machine learning assisted intelligent design of meta structures: a review. Microstructures, 3(4), Article 2023037. https://doi.org/10.20517/microstructures.2023.29
Hong, C. Y., Yang, R. Y., Huang, Z. W., Zhuang, X. Y., Wen, H. T., & Hu, X. L. (2023). Enhance liquid nitrogen fracturing performance on hot dry rock by cyclic injection. Petroleum science, 20(2), 951-972. https://doi.org/10.1016/j.petsci.2022.07.004
Hu, X., Tan, S., Xia, D., Min, L., Xu, H., Yao, W., Sun, Z., Zhang, P., Quoc Bui, T., Zhuang, X., & Rabczuk, T. (2023). An overview of implicit and explicit phase field models for quasi-static failure processes, implementation and computational efficiency. Theoretical and Applied Fracture Mechanics, 124, Article 103779. https://doi.org/10.1016/j.tafmec.2023.103779
Huynh, H. D., Zhuang, X., Park, H. S., Nanthakumar, S. S., Jin, Y., & Rabczuk, T. (2023). Maximizing electro-momentum coupling in generalized 2D Willis Metamaterials. Extreme Mechanics Letters, 61, Article 101981. https://doi.org/10.1016/j.eml.2023.101981
Kang, G., Ni, K. S., Zhuang, X., Rabczuk, T., Ning, Y. J., & Chen, P. W. (2023). Enrichment of three-dimensional numerical manifold method with cover-based contact theory for static and dynamic mechanical response analysis. Applied mathematical modelling, 122, 524-554. https://doi.org/10.1016/j.apm.2023.05.021
Khodadad Kashi, A., Caspani, L., & Kues, M. (2023). Spectral Hong-Ou-Mandel Effect between a Heralded Single-Photon State and a Thermal Field: Multiphoton Contamination and the Nonclassicality Threshold. Physical review letters, 131(23), Article 233601. https://doi.org/10.1103/PhysRevLett.131.233601
KIEN, D. N., & ZHUANG, X. (2023). Radial basis function based finite element method: Formulation and applications. Engineering Analysis with Boundary Elements, 152, 455-472. https://doi.org/10.1016/j.enganabound.2023.04.014
Li, B., Zhuang, X., Fu, X., & Rabczuk, T. (2023). Topology optimization of microstructures with perturbation analysis and penalty methods. Structural and Multidisciplinary Optimization, 66(8), Article 178. https://doi.org/10.1007/s00158-023-03612-x
Liu, B., Vu-Bac, N., Zhuang, X., Lu, W., Fu, X., & Rabczuk, T. (2023). Al-DeMat: A web-based expert system platform for computationally expensive models in materials design. Advances in engineering software, 176, Article 103398. https://doi.org/10.1016/j.advengsoft.2022.103398
Mahmudlu, H., Johanning, R., Kashi, A. K., Rees, A. V., Epping, J. P., Haldar, R., Boller, K.-J., & Kues, M. (2023). Fully on-chip photonic turnkey quantum source for entangled qubit/qudit state generation. Nature Photonics, 17(6), 518-524. https://doi.org/10.48550/arXiv.2206.08715, https://doi.org/10.1038/s41566-023-01193-1
Melchert, O., Kinnewig, S., Dencker, F., Perevoznik, D., Willms, S., Babushkin, I., Wurz, M., Kues, M., Beuchler, S., Wick, T., Morgner, U., & Demircan, A. (2023). Soliton compression and supercontinuum spectra in nonlinear diamond photonics. Diamond and Related Materials, 136, Article 109939. https://doi.org/10.1016/j.diamond.2023.109939, https://doi.org/10.15488/14126, https://doi.org/10.48550/arXiv.2211.00492
Meng, Q., Xue, H., Zhuang, X., Zhang, Q., Zhu, C., He, B., Feng, G., & Rabczuk, T. (2023). An IFS-based fractal discrete fracture network for hydraulic fracture behavior of rock mass. Engineering geology, 324, Article 107247. https://doi.org/10.1016/j.enggeo.2023.107247
Mortazavi, B., Shojaei, F., & Zhuang, X. (2023). A first-principles investigation on the structural, stability and mechanical properties of novel Ag, Au and Cu-graphdiyne magnetic semiconducting monolayers. Nano Trends, 4, Article 100021. https://doi.org/10.1016/j.nwnano.2023.100021
Mortazavi, B., Shojaei, F., Ding, F., & Zhuang, X. (2023). Anomalous tensile strength and thermal expansion, and low thermal conductivity in wide band gap boron monoxide monolayer. FlatChem, 42, Article 100575. https://doi.org/10.48550/arXiv.2310.19485, https://doi.org/10.1016/j.flatc.2023.100575
Mortazavi, B., Shojaei, F., & Zhuang, X. (2023). A novel two-dimensional C36 fullerene network; an isotropic, auxetic semiconductor with low thermal conductivity and remarkable stiffness. Materials Today Nano, 21, Article 100280. https://doi.org/10.1016/j.mtnano.2022.100280
Mortazavi, B., Zhuang, X., Rabczuk, T., & Shapeev, A. V. (2023). Atomistic modeling of the mechanical properties: the rise of machine learning interatomic potentials. Materials Horizons, 10(6), 1956-1968. https://doi.org/10.1039/d3mh00125c
Naderi, A., Quoc-Thai, T., Zhuang, X., & Jiang, X. (2023). Vibration Analysis of a Unimorph Nanobeam with a Dielectric Layer of Both Flexoelectricity and Piezoelectricity. MATERIALS, 16(9), Article 3485. https://doi.org/10.3390/ma16093485
Ren, H., Zhuang, X., Oterkus, E., Zhu, H., & Rabczuk, T. (2023). Nonlocal strong forms of thin plate, gradient elasticity, magneto-electro-elasticity and phase-field fracture by nonlocal operator method. Engineering with computers, 39(1), 23-44. https://doi.org/10.1007/s00366-021-01502-8, https://doi.org/10.48550/arXiv.2103.08696
Sader, L., Bose, S., Kashi, A. K., Boussafa, Y., Haldar, R., Dauliat, R., Roy, P., Fabert, M., Tonello, A., Couderc, V., Kues, M., & Wetzel, B. (2023). Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics. ACS PHOTONICS, 10(11), 3915-3928. https://doi.org/10.1021/acsphotonics.3c00711
Su, C., Lu, D., Zhou, X., Wang, G., Zhuang, X., & Du, X. (2023). An implicit stress update algorithm for the plastic nonlocal damage model of concrete. Computer Methods in Applied Mechanics and Engineering, 414, Article 116189. https://doi.org/10.1016/j.cma.2023.116189
Thai, T. Q., Zhuang, X., & Rabczuk, T. (2023). An electro-mechanical dynamic model for flexoelectric energy harvesters. Nonlinear dynamics, 111(3), 2183-2202. https://doi.org/10.1007/s11071-022-07928-z
Thai, T. Q., Zhuang, X., & Rabczuk, T. (2023). Curved flexoelectric and piezoelectric micro-beams for nonlinear vibration analysis of energy harvesting. International Journal of Solids and Structures, 264, Article 112096. https://doi.org/10.1016/j.ijsolstr.2022.112096
Wang, Q., & Zhuang, X. (2023). A CNN-based surrogate model of isogeometric analysis in nonlocal flexoelectric problems. Engineering with Computers, 39(1), 943-958. https://doi.org/10.1007/s00366-022-01717-3
Yue, Q., Wang, Q., Zhou, W., Rabczuk, T., Zhuang, X., Liu, B., & Chang, X. (2023). An efficient adaptive length scale insensitive phase-field model for three-dimensional fracture of solids using trilinear multi-node elements. International Journal of Mechanical Sciences, 253, Article 108351. https://doi.org/10.1016/j.ijmecsci.2023.108351
Yue, Q., Wang, Q., Tian, W., Rabczuk, T., Zhou, W., Ma, G., Zhuang, X., & Chang, X. (2023). A phase-field lattice model (PFLM) for fracture problem: Theory and application in composite materials. Composite Structures, 323, Article 117432. https://doi.org/10.1016/j.compstruct.2023.117432
Zhong, W., Cai, R., Zhuang, X., Rabczuk, T., Pennec, Y., Djafari-Rouhani, B., & Jin, Y. (2023). Reconfigurable localized effects in non-Hermitian phononic plate. Applied physics letters, 122(22), Article 222203. https://doi.org/10.1063/5.0152606
Zhou, X., Shi, A., Lu, D., Zhuang, X., Lu, X., Du, X., & Chen, Y. (2023). A return mapping algorithm based on the hyper dual step derivative approximation for elastoplastic models. Computer Methods in Applied Mechanics and Engineering, 417, Article 116418. https://doi.org/10.1016/j.cma.2023.116418
Zhu, H., Wu, X., Luo, Y., Jia, Y., Wang, C., Fang, Z., Zhuang, X., & Zhou, S. (2023). Prediction of Early Compressive Strength of Ultrahigh-Performance Concrete Using Machine Learning Methods. International Journal of Computational Methods, 20(8), Article 2141023. https://doi.org/10.1142/S0219876221410231
Zhuang, X., Li, X., & Zhou, S. (2023). Three-dimensional phase field feature of longitudinal hydraulic fracture propagation in naturally layered rocks under stress boundaries. Engineering with computers, 39(1), 711-734. https://doi.org/10.1007/s00366-022-01664-z
Zhuang, X., Thai, T. Q., & Rabczuk, T. (2023). Topology optimization of nonlinear flexoelectric structures. Journal of the Mechanics and Physics of Solids, 171, Article 105117. https://doi.org/10.1016/j.jmps.2022.105117
Zhuang, X., Li, X., & Zhou, S. (2023). Transverse penny-shaped hydraulic fracture propagation in naturally-layered rocks under stress boundaries: A 3D phase field modeling. Computers and geotechnics, 155, Article 105205. https://doi.org/10.1016/j.compgeo.2022.105205
Żur, K. K., Firouzi, N., Rabczuk, T., & Zhuang, X. (2023). Large deformation of hyperelastic modified Timoshenko–Ehrenfest beams under different types of loads. Computer Methods in Applied Mechanics and Engineering, 416, Article 116368. https://doi.org/10.1016/j.cma.2023.116368
2022
Babushkin, I., Demircan, A., Kues, M., & Morgner, U. (2022). Wave-Shape-Tolerant Photonic Quantum Gates. Physical Review Letters, 128(9), Article 090502. https://doi.org/10.1103/PhysRevLett.128.090502, https://doi.org/10.48550/arXiv.2105.13814
Cai, R., Jin, Y., Li, Y., Rabczuk, T., Pennec, Y., Djafari-Rouhani, B., & Zhuang, X. (2022). Exceptional Points and Skin Modes in Non-Hermitian Metabeams. Physical review applied, 18(1), Article 014067. https://doi.org/10.1103/PhysRevApplied.18.014067
Chakraborty, A., Anitescu, C., Zhuang, X., & Rabczuk, T. (2022). Domain adaptation based transfer learning approach for solving PDEs on complex geometries. Engineering with computers, 38(5), 4569-4588. https://doi.org/10.1007/s00366-022-01661-2
Godin, T., Sader, L., Khodadad Kashi, A., Hanzard, P. H., Hideur, A., Moss, D. J., Morandotti, R., Genty, G., Dudley, J. M., Pasquazi, A., Kues, M., & Wetzel, B. (2022). Recent advances on time-stretch dispersive Fourier transform and its applications. Advances in Physics: X, 7(1), Article 2067487. https://doi.org/10.1080/23746149.2022.2067487
Guo, H., Zhuang, X., Chen, P., Alajlan, N., & Rabczuk, T. (2022). Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis. Engineering with computers, 38(6), 5423-5444. https://doi.org/10.1007/s00366-022-01633-6
Guo, H., Zhuang, X., & Rabczuk, T. (2022). Integrated intelligent Jaya Runge-Kutta method for solving Falkner-Skan equations with various wedge angles. INTERNATIONAL JOURNAL OF HYDROMECHATRONICS, 5(4), 311-335. https://doi.org/10.48550/arXiv.2010.05682, https://doi.org/10.1504/ijhm.2022.127047
Guo, H., Zhuang, X., Chen, J., & Zhu, H. H. (2022). Predicting Earthquake-Induced Soil Liquefaction Based on Machine Learning Classifiers: A Comparative Multi-Dataset Study. International Journal of Computational Methods, 19(8), Article 2142004. https://doi.org/10.1142/S0219876221420044
Guo, H., Rabczuk, T., Zhu, Y., Cui, H., Su, C., & Zhuang, X. (2022). Soil liquefaction assessment by using hierarchical Gaussian Process model with integrated feature and instance based domain adaption for multiple data sources. AI in Civil Engineering, 1(1), Article 5. https://doi.org/10.1007/s43503-022-00004-w
Guo, HW., Zhuang, XY., Chen, P., Alajlan, N., & Rabczuk, T. (2022). Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media. Engineering with computers, 38(6), 5173-5198. https://doi.org/10.1007/s00366-021-01586-2
Hamdia, K., Ghasemi, H., Zhuang, XY., & Rabczuk, T. (2022). Multilevel Monte Carlo method for topology optimization of flexoelectric composites with uncertain material properties. Engineering Analysis with Boundary Elements, 134, 412-418. https://doi.org/10.1016/j.enganabound.2021.10.008
He, L., Guo, HW., Jin, Y., Zhuang, XY., Rabczuk, T., & Li, Y. (2022). Machine-learning-driven on-demand design of phononic beams. Science China: Physics, Mechanics and Astronomy, 65(1), Article 214612. https://doi.org/10.1007/s11433-021-1787-x
Javvaji, B., Zhuang, X., Rabczuk, T., & Mortazavi, B. (2022). Machine-Learning-Based Exploration of Bending Flexoelectricity in Novel 2D Van der Waals Bilayers. Advanced energy materials, 12(32), Article 2201370. https://doi.org/10.1002/aenm.202201370
Jin, Y., He, L., Wen, Z., Mortazavi, B., Guo, HW., Torrent, D., Djafari-Rouhani, B., Rabczuk, T., Zhuang, XY., & Li, Y. (2022). Intelligent on-demand design of phononic metamaterials. Nanophotonics, 11(3), 439-460. https://doi.org/10.1515/nanoph-2021-0639
Khodadad Kashi, A., Sader, L., Haldar, R., Wetzel, B., & Kues, M. (2022). Frequency-to-Time Mapping Technique for Direct Spectral Characterization of Biphoton States From Pulsed Spontaneous Parametric Processes. Frontiers in Photonics, 3, Article 834065. https://doi.org/10.3389/fphot.2022.834065
Li, M., Zhou, F., Sun, Z., Dong, E., Zhuang, X., Yuan, L., & Wang, B. (2022). Experimental study on plugging performance and diverted fracture geometry during different temporary plugging and diverting fracturing in Jimusar shale. Journal of Petroleum Science and Engineering, 215(Part A), Article 110580. https://doi.org/10.1016/j.petrol.2022.110580
Li, M., Zhou, F., Dong, E., Zhang, G., Zhuang, X., & Wang, B. (2022). Experimental study on the multiple fracture simultaneous propagation during extremely limited-entry fracturing. Journal of Petroleum Science and Engineering, 218, Article 110906. https://doi.org/10.1016/j.petrol.2022.110906
Li, B., Guo, H., & Zhuang, X. (2022). Material Design with Topology Optimization Based on the Neural Network. International Journal of Computational Methods, 19(8), Article 2142013. https://doi.org/10.1142/S0219876221420135
Li, M. H., Zhou, F. J., Wang, B., Hu, X. D., Wang, D. B., Zhuang, X. Y., Han, S. B., & Huang, G. P. (2022). Numerical simulation on the multiple planar fracture propagation with perforation plugging in horizontal wells. Petroleum Science, 19(5), 2253-2267. https://doi.org/10.1016/j.petsci.2022.05.004
Liu, Y., Wei, L., Zhu, Y., & Zhuang, X. (2022). Local Stability in the Process of Excavation Located in High Permeability Saturated Sand of Diaphragm Wall Construction. Applied Mechanics, 3(4), 1254-1269. https://doi.org/10.3390/applmech3040072
Liu, B., Vu-Bac, N., Fu, X., Zhuang, X., & Rabczuk, T. (2022). Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach. Composite Structures, 289, Article 115393. https://doi.org/10.1016/j.compstruct.2022.115393
Liu, B., Vu-Bac, N., Zhuang, X., Fu, X., & Rabczuk, T. (2022). Stochastic integrated machine learning based multiscale approach for the prediction of the thermal conductivity in carbon nanotube reinforced polymeric composites. Composites Science and Technology, 224, Article 109425. https://doi.org/10.1016/j.compscitech.2022.109425
Mohebpour, M. A., Mortazavi, B., Rabczuk, T., Zhuang, X., Shapeev, A. V., & Tagani, M. B. (2022). Mechanical, optical, and thermoelectric properties of semiconducting ZnIn2X4 (X= S, Se, Te) monolayers. Physical Review B, 105(13), Article 134108. https://doi.org/10.1103/PhysRevB.105.134108, https://doi.org/10.48550/arXiv.2202.13218
Mohebpour, M. A., Mortazavi, B., Zhuang, X., & Tagani, M. B. (2022). Optical and thermoelectric properties of non-Janus CuI and AgI, and Janus Cu2BrI and Ag2BrI monolayers by many-body perturbation theory. Physical Review B, 106(12), Article 125405. https://doi.org/10.48550/arXiv.2204.10056, https://doi.org/10.1103/PhysRevB.106.125405
Mortazavi, B., Shojaei, F., Shapeev, A. V., & Zhuang, X. (2022). A combined first-principles and machine-learning investigation on the stability, electronic, optical, and mechanical properties of novel C6N7-based nanoporous carbon nitrides. CARBON, 194, 230-239. https://doi.org/10.1016/j.carbon.2022.03.068
Mortazavi, B., Shahrokhi, M., Shojaei, F., Rabczuk, T., Zhuang, X., & Shapeev, A. V. (2022). A first-principles and machine-learning investigation on the electronic, photocatalytic, mechanical and heat conduction properties of nanoporous C5N monolayers. NANOSCALE, 14(11), 4324-4333. https://doi.org/10.1039/d1nr06449e
Mortazavi, B., Zhuang, X., & Rabczuk, T. (2022). A first-principles study on the physical properties of two-dimensional Nb3Cl8, Nb3Br8 and Nb3I8. Applied Physics A: Materials Science and Processing, 128(10), Article 934. https://doi.org/10.1007/s00339-022-06011-z
Mortazavi, B., Shojaei, F., Yagmurcukardes, M., Shapeev, A. V., & Zhuang, X. (2022). Anisotropic and outstanding mechanical, thermal conduction, optical, and piezoelectric responses in a novel semiconducting BCN monolayer confirmed by first-principles and machine learning. CARBON, 200, 500-509. https://doi.org/10.1016/j.carbon.2022.08.077
Mortazavi, B., Shojaei, F., Yagmurcukardes, M., Makaremi, M., & Zhuang, X. (2022). A Theoretical Investigation on the Physical Properties of Zirconium Trichalcogenides, ZrS3, ZrSe3 and ZrTe3 Monolayers. ENERGIES, 15(15), Article 5479. https://doi.org/10.3390/en15155479
Mortazavi, B., Shojaei, F., Shahrokhi, M., Rabczuk, T., Shapeev, A. V., & Zhuang, X. (2022). Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning. Batteries, 8(10), Article 194. https://doi.org/10.3390/batteries8100194
Mortazavi, B., Rajabpour, A., Zhuang, XY., Rabczuk, T., & Shapeev, AV. (2022). Exploring thermal expansion of carbon-based nanosheets by machine-learning interatomic potentials. CARBON, 186, 501-508. https://doi.org/10.1016/j.carbon.2021.10.059, https://doi.org/10.48550/arXiv.2110.10434
Mortazavi, B., Shahrokhi, M., Javvaji, B., Shapeev, A. V., & Zhuang, X. (2022). Highly anisotropic mechanical and optical properties of 2D NbOX2 (X= Cl, Br, I) revealed by first-principle. NANOTECHNOLOGY, 33(27), Article 275701. https://doi.org/10.1088/1361-6528/ac622f
Mortazavi, B., & Zhuang, X. (2022). Low and Anisotropic Tensile Strength and Thermal Conductivity in the Single-Layer Fullerene Network Predicted by Machine-Learning Interatomic Potentials. COATINGS, 12(8), Article 1171. https://doi.org/10.3390/coatings12081171
Mortazavi, B., Shahrokhi, M., Zhuang, XY., Rabczuk, T., & Shapeev, AV. (2022). Mechanical, thermal transport, electronic and photocatalytic properties of penta-PdPS, -PdPSe and -PdPTe monolayers explored by first-principles calculations. Journal of Materials Chemistry C, 10(1), 329-336. https://doi.org/10.1039/d1tc05297g
Mortazavi, B., Zhuang, X., Rabczuk, T., & Shapeev, A. V. (2022). Outstanding thermal conductivity and mechanical properties in the direct gap semiconducting penta-NiN2 monolayer confirmed by first-principles. Physica E: Low-Dimensional Systems and Nanostructures, 140, Article 115221. https://doi.org/10.1016/j.physe.2022.115221
Mortazavi, B., & Zhuang, X. (2022). Ultrahigh strength and negative thermal expansion and low thermal conductivity in graphyne nanosheets confirmed by machine-learning interatomic potentials. FlatChem, 36, Article 100446. https://doi.org/10.1016/j.flatc.2022.100446
Piccardo, M., Ginis, V., Forbes, A., Mahler, S., Friesem, A. A., Davidson, N., Ren, H., Dorrah, A. H., Capasso, F., Dullo, F. T., Ahluwalia, B. S., Ambrosio, A., Gigan, S., Treps, N., Hiekkamaki, M., Fickler, R., Kues, M., Moss, D., Morandotti, R., ... Huidobro, P. A. (2022). Roadmap on multimode light shaping. Journal of Optics (United Kingdom), 24(1), Article 013001. https://doi.org/10.1088/2040-8986/ac3a9d
Sun, L., Javvaji, B., Zhang, C., Zhuang, X., & Chen, W. (2022). Effect of flexoelectricity on a bilayer molybdenum disulfide Schottky contact. NANO ENERGY, 102, Article 107701. https://doi.org/10.1016/j.nanoen.2022.107701
Vu-Bac, N., Rabczuk, T., Park, H. S., Fu, X., & Zhuang, X. (2022). A NURBS-based inverse analysis of swelling induced morphing of thin stimuli-responsive polymer gels. Computer Methods in Applied Mechanics and Engineering, 397, Article 115049. https://doi.org/10.1016/j.cma.2022.115049
Wen, Z., Jin, Y., Gao, P., Zhuang, X., Rabczuk, T., & Djafari-Rouhani, B. (2022). Topological cavities in phononic plates for robust energy harvesting. Mechanical Systems and Signal Processing, 162, Article 108047. https://doi.org/10.1016/j.ymssp.2021.108047
