| Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing X Xie, J Bennett, S Saha, Y Lu, J Cao, WK Liu, Z Gan npj Computational Materials 7 (1), 86, 2021 | 57 | 2021 |
| Adaptive sparse grid based HOPGD: Toward a nonintrusive strategy for constructing space‐time welding computational vademecum Y Lu, N Blal, A Gravouil International Journal for Numerical Methods in Engineering 114 (13), 1438-1461, 2018 | 34 | 2018 |
| An efficient and robust staggered algorithm applied to the quasi-static description of brittle fracture by a phase-field approach Y Lu, T Helfer, B Bary, O Fandeur Computer methods in applied mechanics and engineering 370, 113218, 2020 | 26 | 2020 |
| Multi-parametric space-time computational vademecum for parametric studies: Application to real time welding simulations Y Lu, N Blal, A Gravouil Finite Elements in Analysis and Design 139, 62-72, 2018 | 26 | 2018 |
| Adaptive hyper reduction for additive manufacturing thermal fluid analysis Y Lu, KK Jones, Z Gan, WK Liu Computer Methods in Applied Mechanics and Engineering 372, 113312, 2020 | 22 | 2020 |
| Space–time POD based computational vademecums for parametric studies: application to thermo-mechanical problems Y Lu, N Blal, A Gravouil Advanced Modeling and Simulation in Engineering Sciences 5 (1), 1-27, 2018 | 22 | 2018 |
| HiDeNN-TD: reduced-order hierarchical deep learning neural networks L Zhang, Y Lu, S Tang, WK Liu Computer Methods in Applied Mechanics and Engineering 389, 114414, 2022 | 21 | 2022 |
| Datadriven HOPGD based computational vademecum for welding parameter identification Y Lu, N Blal, A Gravouil Computational mechanics 64 (1), 47-62, 2019 | 19 | 2019 |
| Benchmark study of melted track geometries in laser powder bed fusion of inconel 625 Z Gan, KK Jones, Y Lu, WK Liu Integrating Materials and Manufacturing Innovation 10 (2), 177-195, 2021 | 13 | 2021 |
| Convolution hierarchical deep-learning neural network tensor decomposition (C-HiDeNN-TD) for high-resolution topology optimization H Li, S Knapik, Y Li, C Park, J Guo, S Mojumder, Y Lu, W Chen, DW Apley, ... Computational Mechanics 72 (2), 363-382, 2023 | 12 | 2023 |
| Microscale structure to property prediction for additively manufactured in625 through advanced material model parameter identification S Saha, OL Kafka, Y Lu, C Yu, WK Liu Integrating materials and manufacturing innovation 10 (2), 142-156, 2021 | 11 | 2021 |
| Convolution hierarchical deep-learning neural network (c-hidenn) with graphics processing unit (gpu) acceleration C Park, Y Lu, S Saha, T Xue, J Guo, S Mojumder, DW Apley, GJ Wagner, ... Computational Mechanics 72 (2), 383-409, 2023 | 9 | 2023 |
| Reduced order machine learning finite element methods: concept, implementation, and future applications Y Lu, H Li, S Saha, S Mojumder, A Al Amin, D Suarez, Y Liu, D Qian, ... Computer Modeling in Engineering & Sciences 129 (1), 2021 | 9 | 2021 |
| Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond Y Lu, H Li, L Zhang, C Park, S Mojumder, S Knapik, Z Sang, S Tang, ... Computational Mechanics 72 (2), 333-362, 2023 | 7 | 2023 |
| HiDeNN-FEM: a seamless machine learning approach to nonlinear finite element analysis Y Liu, C Park, Y Lu, S Mojumder, WK Liu, D Qian Computational Mechanics 72 (1), 173-194, 2023 | 7 | 2023 |
| Macroscale property prediction for additively manufactured in625 from microstructure through advanced homogenization S Saha, OL Kafka, Y Lu, C Yu, WK Liu Integrating materials and manufacturing innovation 10, 360-372, 2021 | 7 | 2021 |
| Construction d’abaques numériques dédiés aux études paramétriques du procédé de soudage par des méthodes de réduction de modèles espace-temps Y Lu Université de Lyon, 2017 | 5 | 2017 |
| Physics guided heat source for quantitative prediction of the laser track measurements of IN718 in 2022 NIST AM benchmark test A Amin, Y Li, Y Lu, X Xie, S Mojumder, Z Gan, G Wagner, WK Liu | 2 | 2023 |
| Stochastic additive manufacturing simulation: from experiment to surface roughness and porosity prediction Y Li, Y Lu, AA Amin, WK Liu arXiv preprint arXiv:2208.02907, 2022 | 2 | 2022 |
| Convolution finite element based digital image correlation for displacement and strain measurements Y Lu, W Zhu Computer Methods in Applied Mechanics and Engineering 419, 116597, 2024 | 1 | 2024 |
Wing Kam LiuWalter P. Murphy Professor of Mechanical EngineeringAdresse e-mail validée de northwestern.edu
