Showing results 101 - 200 out of 219
2023
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., 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
Wu, X., Jin, Y., Khelif, A., Zhuang, X., Rabczuk, T., & Djafari-Rouhani, B. (2022). Topological surface wave metamaterials for robust vibration attenuation and energy harvesting. Mechanics of Advanced Materials and Structures, 29(26), 4759-4767. https://doi.org/10.1080/15376494.2021.1937758
Yao, Q., Sun, J., Zhuang, X., Wriggers, P., Feng, X. Q., & Li, Q. (2022). Atomic stick-slip friction as a two-dimensional thermally activated process. Physical Review B, 105(16), Article 165429. https://doi.org/10.1103/PhysRevB.105.165429
Zhang, P., Tan, S., Hu, X., Yao, W., & Zhuang, X. (2022). A double-phase field model for multiple failures in composites. Composite Structures, 293, Article 115730. https://doi.org/10.1016/j.compstruct.2022.115730
Zhang, Q., Mortazavi, B., Zhuang, XY., & Aldakheel, F. (2022). Exploring the mechanical properties of two-dimensional carbon-nitride polymer nanocomposites by molecular dynamics simulations. Composite Structures, 281, Article 115004. https://doi.org/10.1016/j.compstruct.2021.115004
Zhuang, X., Nguyen, C., Nanthakumar, S. S., Chamoin, L., Jin, Y., & Rabczuk, T. (2022). Inverse design of reconfigurable piezoelectric topological phononic plates. Materials and design, 219, Article 110760. https://doi.org/10.1016/j.matdes.2022.110760
Zhuang, X., Zhou, S., Huynh, GD., & Rabczuk, T. (2022). Phase field modeling and computer implementation: A review. Engineering fracture mechanics, 262, Article 108234. https://doi.org/10.48550/arXiv.2309.03996, https://doi.org/10.1016/j.engfracmech.2022.108234
2021
Bahari, Y., Mortazavi, B., Rajabpour, A., Zhuang, X., & Rabczuk, T. (2021). Application of two-dimensional materials as anodes for rechargeable metal-ion batteries: A comprehensive perspective from density functional theory simulations. Energy Storage Materials, 35, 203-282. https://doi.org/10.1016/j.ensm.2020.11.004
Cai, R., Jin, Y., Rabczuk, T., Zhuang, X., & Djafari-Rouhani, B. (2021). Propagation and attenuation of Rayleigh and pseudo surface waves in viscoelastic metamaterials. Journal of applied physics, 129(12), Article 0003923. https://doi.org/10.1063/5.0042577
Chen, F., Zhou, S., Zhuang, X., Zhang, W., & Wu, R. (2021). Phase-Field Modeling of a Single Horizontal Fluid-Driven Fracture Propagation in Spatially Variable Rock Mass. International Journal of Computational Methods, 19(8), Article 2142003. Advance online publication. https://doi.org/10.1142/S0219876221420032
George, A., Bruhacs, A., Aadhi, A., Hayenga, W. E., Ostic, R., Whitby, E., Kues, M., Wang, Z. M., Reimer, C., Khajavikhan, M., & Morandotti, R. (2021). Time-Resolved Second-Order Coherence Characterization of Broadband Metallic Nanolasers. Laser and Photonics Reviews, 15(11), Article 2000593. https://doi.org/10.1002/lpor.202000593
Guo, H., & Zhuang, X. (2021). 采用两步优化器的深度配点法与深度能量法求解薄板弯曲问题. Guti Lixue Xuebao/Acta Mechanica Solida Sinica, 42(3), 249-266. https://doi.org/10.19636/j.cnki.cjsm42-1250/o3.2021.029
Hamdia, K. M., Zhuang, X., & Rabczuk, T. (2021). An efficient optimization approach for designing machine learning models based on genetic algorithm. Neural Computing and Applications, 33(6), 1923-1933. https://doi.org/10.1007/s00521-020-05035-x
He, L., Wen, Z., Jin, Y., Torrent, D., Zhuang, X., & Rabczuk, T. (2021). Inverse design of topological metaplates for fl exural waves with machine learning. Materials & Design, 199, Article 109390. https://doi.org/10.15488/14508, https://doi.org/10.1016/j.matdes.2020.109390
Javvaji, B., Mortazavi, B., Zhuang, X., & Rabczuk, T. (2021). Exploring tensile piezoelectricity and bending flexoelectricity of diamane monolayers by machine learning. CARBON, 185, 558-567. https://doi.org/10.1016/j.carbon.2021.09.007
Javvaji, B., Zhang, R., Zhuang, X., & Park, H. S. (2021). Flexoelectric electricity generation by crumpling graphene. Journal of applied physics, 129(22), Article 225107. https://doi.org/10.1063/5.0052482
Javvaji, B., Vasireddi, R., Zhuang, X., Mahapatra, D. R., & Rabczuk, T. (2021). Laser-assisted graphene layer exfoliation from graphite slab. Molecular simulation, 47(18), 1540-1548. https://doi.org/10.48550/arXiv.2011.13690, https://doi.org/10.1080/08927022.2021.1991920
Khodadad Kashi, A., & Kues, M. (2021). Spectral Hong–Ou–Mandel Interference between Independently Generated Single Photons for Scalable Frequency-Domain Quantum Processing. Laser and Photonics Reviews, 15(5), Article 2000464. https://doi.org/10.1002/lpor.202000464
Kien, D. N., & Zhuang, X. (2021). A deep neural network-based algorithm for solving structural optimization. Journal of Zhejiang University: Science A, 22(8), 609-620. https://doi.org/10.1631/jzus.A2000380
Kolodziejczyk, F., Mortazavi, B., Rabczuk, T., & Zhuang, X. (2021). Machine learning assisted multiscale modeling of composite phase change materials for Li-ion batteries’ thermal management. International Journal of Heat and Mass Transfer, 172, Article 121199. https://doi.org/10.1016/j.ijheatmasstransfer.2021.121199
Mahmudlu, H., May, S., Angulo, A., Sorel, M., & Kues, M. (2021). AlGaAs-on-insulator waveguide for highly efficient photon-pair generation via spontaneous four-wave mixing. Optics letters, 46(5), 1061-1064. https://doi.org/10.1364/OL.418932
Mortazavi, B., Podryabinkin, E. V., Novikov, I. S., Rabczuk, T., Zhuang, X., & Shapeev, A. V. (2021). Accelerating first-principles estimation of thermal conductivity by machine-learning interatomic potentials: A MTP/ShengBTE solution. Computer physics communications, 258, Article 107583. https://doi.org/10.1016/j.cpc.2020.107583
Mortazavi, B., Javvaji, B., Shojaei, F., Rabczuk, T., Shapeev, A. V., & Zhuang, X. (2021). Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles. NANO ENERGY, 82, Article 105716. https://doi.org/10.1016/j.nanoen.2020.105716
Mortazavi, B., Shojaei, F., Zhuang, X., & Pereira, L. F. C. (2021). First-principles investigation of electronic, optical, mechanical and heat transport properties of pentadiamond: A comparison with diamond. Carbon Trends, 3. https://doi.org/10.1016/j.cartre.2021.100036
Mortazavi, B., Silani, M., Podryabinkin, E. V., Rabczuk, T., Zhuang, X., & Shapeev, A. V. (2021). First-Principles Multiscale Modeling of Mechanical Properties in Graphene/Borophene Heterostructures Empowered by Machine-Learning Interatomic Potentials. Advanced materials, 33(35), Article 2102807. https://doi.org/10.1002/adma.202102807
Mortazavi, B., Shojaei, F., Rabczuk, T., & Zhuang, X. (2021). High tensile strength and thermal conductivity in BeO monolayer: A first-principles study. FlatChem, 28, Article 100257. https://doi.org/10.48550/arXiv.2106.03416, https://doi.org/10.1016/j.flatc.2021.100257
Mortazavi, B., Shojaei, F., Javvaji, B., Rabczuk, T., & Zhuang, X. (2021). Outstandingly high thermal conductivity, elastic modulus, carrier mobility and piezoelectricity in two-dimensional semiconducting CrC2N4: a first-principles study. Materials Today Energy, 22, Article 100839. https://doi.org/10.48550/arXiv.2108.12808, https://doi.org/10.1016/j.mtener.2021.100839
Mortazavi, B., Shojaei, F., & Zhuang, X. (2021). Ultrahigh stiffness and anisotropic Dirac cones in BeN4 and MgN4 monolayers: a first-principles study. Materials Today Nano, 15, Article 100125. https://doi.org/10.48550/arXiv.2105.09733, https://doi.org/10.1016/j.mtnano.2021.100125
Nguyen-Thanh, V. M., Anitescu, C., Alajlan, N., Rabczuk, T., & Zhuang, X. (2021). Parametric deep energy approach for elasticity accounting for strain gradient effects. Computer Methods in Applied Mechanics and Engineering, 386, Article 114096. https://doi.org/10.1016/j.cma.2021.114096
Noori, H., Mortazavi, B., Keshtkari, L., Zhuang, X., & Rabczuk, T. (2021). Nanopore creation in MoS2 and graphene monolayers by nanoparticles impact: a reactive molecular dynamics study. Applied Physics A: Materials Science and Processing, 127(7), Article 541. https://doi.org/10.1007/s00339-021-04693-5
Ren, H., Zhuang, X., Trung, N. T., & Rabczuk, T. (2021). A nonlocal operator method for finite deformation higher-order gradient elasticity. Computer Methods in Applied Mechanics and Engineering, 384, Article 113963. https://doi.org/10.1016/j.cma.2021.113963
Ren, H., Zhuang, X., Anitescu, C., & Rabczuk, T. (2021). Multi-connected boundary conditions in solid mechanics and surgery theory. Computers and Structures, 251, Article 106504. https://doi.org/10.1016/j.compstruc.2021.106504
Ren, H., Zhuang, X., Trung, N. T., & Rabczuk, T. (2021). Nonlocal operator method for the Cahn-Hilliard phase field model. Communications in Nonlinear Science and Numerical Simulation, 96, Article 105687. https://doi.org/10.1016/j.cnsns.2020.105687
Roztocki, P., MacLellan, B., Islam, M., Reimer, C., Fischer, B., Sciara, S., Helsten, R., Jestin, Y., Cino, A., Chu, S. T., Little, B., Moss, D. J., Kues, M., & Morandotti, R. (2021). Arbitrary Phase Access for Stable Fiber Interferometers. Laser and Photonics Reviews, 15(7), Article 2000524. https://doi.org/10.1002/lpor.202000524
Sciara, S., Roztocki, P., Fischer, B., Reimer, C., Romero Cortés, L., Munro, W. J., Moss, D. J., Cino, A. C., Caspani, L., Kues, M., Azanã, J., & Morandotti, R. (2021). Scalable and effective multi-level entangled photon states: A promising tool to boost quantum technologies. Nanophotonics, 10(18), 4447-4465. https://doi.org/10.1515/nanoph-2021-0510
