Seamless integration of computer-aided geometric modeling and acoustic simulation: Isogeometric boundary element methods based on Catmull-Clark subdivision surfaces LL Chen, Y Zhang, H Lian, E Atroshchenko, C Ding, SPA Bordas Advances in Engineering Software 149, 102879, 2020 | 65 | 2020 |
Reduced order isogeometric boundary element methods for CAD-integrated shape optimization in electromagnetic scattering L Chen, Z Wang, H Lian, Y Ma, Z Meng, P Li, C Ding, SPA Bordas Computer Methods in Applied Mechanics and Engineering 419, 116654, 2024 | 47 | 2024 |
Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties C Ding, RR Deokar, Y Ding, G Li, X Cui, KK Tamma, SPA Bordas Computer Methods in Applied Mechanics and Engineering 349, 266-284, 2019 | 44 | 2019 |
Isogeometric generalized n th order perturbation-based stochastic method for exact geometric modeling of (composite) structures: Static and dynamic analysis with random … C Ding, X Hu, X Cui, G Li, Y Cai, KK Tamma Computer Methods in Applied Mechanics and Engineering 346, 1002-1024, 2019 | 38 | 2019 |
Uncertainty quantification of spatially uncorrelated loads with a reduced-order stochastic isogeometric method C Ding, KK Tamma, H Lian, Y Ding, TJ Dodwell, SPA Bordas Computational Mechanics 67, 1255-1271, 2021 | 34 | 2021 |
An nth high order perturbation-based stochastic isogeometric method and implementation for quantifying geometric uncertainty in shell structures C Ding, KK Tamma, X Cui, Y Ding, G Li, SPA Bordas Advances in Engineering Software 148, 102866, 2020 | 34 | 2020 |
Accurate analysis and thickness optimization of tailor rolled blanks based on isogeometric analysis CS Ding, XY Cui, GY Li Structural and Multidisciplinary Optimization 54, 871-887, 2016 | 32 | 2016 |
SiC-functionalized fluorescent aptasensor for determination of Proteus mirabilis W Yao, J Shi, J Ling, Y Guo, C Ding, Y Ding Microchimica Acta 187, 1-8, 2020 | 25 | 2020 |
Proper orthogonal decomposition and Monte Carlo based isogeometric stochastic method for material, geometric and force multi-dimensional uncertainties C Ding, RR Deokar, X Cui, G Li, Y Cai, KK Tamma Computational Mechanics 63, 521-533, 2019 | 25 | 2019 |
Resolving high frequency issues via proper orthogonal decomposition based dynamic isogeometric analysis for structures with dissimilar materials C Ding, RR Deokar, H Lian, Y Ding, G Li, X Cui, KK Tamma, SPA Bordas Computer Methods in Applied Mechanics and Engineering 359, 112753, 2020 | 20 | 2020 |
Stochastic stable node-based smoothed finite element method for uncertainty and reliability analysis of thermo-mechanical problems B Wang, Y Cai, Z Li, C Ding, T Yang, X Cui Engineering Analysis with Boundary Elements 114, 23-44, 2020 | 18 | 2020 |
Exact and efficient isogeometric reanalysis of accurate shape and boundary modifications C Ding, X Cui, G Huang, G Li, KK Tamma Computer Methods in Applied Mechanics and Engineering 318, 619-635, 2017 | 18 | 2017 |
Modeling and simulation of steady heat transfer analysis with material uncertainty: Generalized nth order perturbation isogeometric stochastic method C Ding, X Cui, RR Deokar, G Li, Y Cai, KK Tamma Numerical Heat Transfer, Part A: Applications 74 (9), 1565-1582, 2018 | 17 | 2018 |
An isogeometric independent coefficients (IGA-IC) reduced order method for accurate and efficient transient nonlinear heat conduction analysis C Ding, X Cui, RR Deokar, G Li, Y Cai, KK Tamma Numerical Heat Transfer, Part A: Applications 73 (10), 667-684, 2018 | 15 | 2018 |
A gradient-based shape optimization scheme via isogeometric exact reanalysis C Ding, X Cui, G Huang, G Li, KK Tamma, Y Cai Engineering Computations 35 (8), 2696-2721, 2018 | 14 | 2018 |
Full-field order-reduced Gaussian Process emulators for nonlinear probabilistic mechanics C Ding, H Rappel, T Dodwell Computer Methods in Applied Mechanics and Engineering 405, 115855, 2023 | 12 | 2023 |
Functional order-reduced Gaussian Processes based machine-learning emulators for probabilistic constitutive modelling C Ding, Y Chen, H Rappel, T Dodwell Composites Part A: Applied Science and Manufacturing 173, 107695, 2023 | 6 | 2023 |
Multi-DORGP for fast uncertainty quantification of multi-scale irregular defects in super large-scale fiber-reinforced composite Y Cheng, T Rabczuk, C Ding Composites Part A: Applied Science and Manufacturing 182, 108196, 2024 | 4 | 2024 |
Dual order-reduced Gaussian process emulators (DORGP) for quantifying high-dimensional uncertain crack growth using limited and noisy data C He, X Peng, C Ding Computer Methods in Applied Mechanics and Engineering 417, 116394, 2023 | 3 | 2023 |
Simple yet effective adaptive activation functions for physics-informed neural networks J Zhang, C Ding Computer Physics Communications 307, 109428, 2025 | 2 | 2025 |