| Vibration analysis of vacancy defected graphene sheets by Monte Carlo based finite element method L Chu, J Shi, E Souza de Cursi Nanomaterials 8 (7), 489, 2018 | 26 | 2018 |
| Reliability based optimization with metaheuristic algorithms and Latin hypercube sampling based surrogate models L Chu, ES De Cursi, A El Hami, M Eid Appl. Comput. Math 4 (462), 10.11648, 2015 | 20 | 2015 |
| A kriging surrogate model for uncertainty analysis of graphene based on a finite element method J Shi, L Chu, R Braun International journal of molecular sciences 20 (9), 2355, 2019 | 17 | 2019 |
| The equivalent Young's modulus prediction for vacancy defected graphene under shear stress L Chu, J Shi, R Braun Physica E: Low-dimensional Systems and Nanostructures 110, 115-122, 2019 | 16 | 2019 |
| Kriging surrogate model for resonance frequency analysis of dental implants by a Latin hypercube-based finite element method L Chu, J Shi, E Souza de Cursi Applied Bionics and Biomechanics 2019, 2019 | 12 | 2019 |
| Application of Latin hypercube sampling based kriging surrogate models in reliability assessment L Chu, ES De Cursi, A El Hami, M Eid Sci. J. Appl. Math. Stat 3 (6), 263-274, 2015 | 12 | 2015 |
| Buckling analysis of vacancy-defected graphene sheets by the stochastic finite element method L Chu, J Shi, S Ben Materials 11 (9), 1545, 2018 | 11 | 2018 |
| Sensitivity analysis for geometrical parameters of BGA in flip-chip packaging under random shear stress and thermal temperature L Chu, P Zhou, J Shi, R Braun IEEE Transactions on Components, Packaging and Manufacturing Technology 11 …, 2021 | 7 | 2021 |
| Abdelkhalak El Hami, and Mohamed Eid. Reliability based optimization with metaheuristic algorithms and Latin hypercube sampling based surrogate models L Chu, ES De Cursi Applied and Computational Mathematics 4 (6), 462-468, 2015 | 7 | 2015 |
| The effects of random porosities in resonant frequencies of graphene based on the Monte Carlo stochastic finite element model L Chu, J Shi, Y Yu, E Souza De Cursi International Journal of Molecular Sciences 22 (9), 4814, 2021 | 6 | 2021 |
| Efficiency improvement of Kriging surrogate model by subset simulation in implicit expression problems L Chu, J Shi, E Souza de Cursi, S Ben Computational and Applied Mathematics 39 (2), 119, 2020 | 6 | 2020 |
| A kriging surrogate model for the interference reduction in the settlement surveillance sensors of steel transmission towers J Shi, L Chu, E Souza de Cursi Applied Sciences 9 (16), 3343, 2019 | 5 | 2019 |
| The correlation between graphene characteristic parameters and resonant frequencies by Monte Carlo based stochastic finite element model L Chu, J Shi, ES de Cursi Scientific reports 11 (1), 22962, 2021 | 4 | 2021 |
| A 2D frequency-domain wave based method for dynamic analysis of orthotropic solids L Sun, X Wei, L Chu Computers & Structures 238, 106300, 2020 | 4 | 2020 |
| Uncertainty propagation in moisture absorption of flax/glass fiber reinforced hybrid composites L Chu, J Shi, H Yu, ES de Cursi Materials Research Express 6 (11), 115208, 2019 | 4 | 2019 |
| The impacts of random distributed vacancy defects in steady-state thermal conduction of graphene L Sun, L Chu, J Shi, E Souza de Cursi Applied Sciences 9 (11), 2363, 2019 | 4 | 2019 |
| Monte Carlo-based finite element method for the study of randomly distributed vacancy defects in graphene sheets L Chu, J Shi, E Souza de Cursi, X Xu, Y Qin, H Xiang Journal of Nanomaterials 2018, 2018 | 4 | 2018 |
| The Fingerprints of resonant frequency for atomic vacancy defect identification in graphene L Chu, J Shi, E Souza de Cursi Nanomaterials 11 (12), 3451, 2021 | 3 | 2021 |
| The possibility of Young’s modulus improvement in graphene by random vacancy defects under uniaxial tension L Chu, J Shi, L Sun, ES de Cursi Materials Research Express 6 (2), 025007, 2018 | 3 | 2018 |
| Uncertainty quantification of stochastic defects in materials L Chu CRC Press, 2021 | 2 | 2021 |
