| Design repository effectiveness for 3D convolutional neural networks: Application to additive manufacturing G Williams, NA Meisel, TW Simpson, C McComb Journal of Mechanical Design 141 (11), 111701, 2019 | 94 | 2019 |
| Detection of system compromise in additive manufacturing using video motion magnification SK Arul Prakash, T Mahan, G Williams, C McComb, J Menold, CS Tucker Journal of Mechanical Design 142 (3), 031109, 2020 | 18 | 2020 |
| Stochastically-trained physics-informed neural networks: Application to thermal analysis in metal laser powder bed fusion J Pierce, G Williams, TW Simpson, NA Meisel, C McComb International Design Engineering Technical Conferences and Computers and …, 2021 | 7 | 2021 |
| Deriving metamodels to relate machine learning quality to design repository characteristics in the context of additive manufacturing G Williams, NA Meisel, TW Simpson, C McComb International Design Engineering Technical Conferences and Computers and …, 2020 | 5 | 2020 |
| Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling G Williams, NA Meisel, TW Simpson, C McComb Journal of Computing and Information Science in Engineering 22 (6), 060903, 2022 | 4 | 2022 |
| Comparing attribute-and form-based machine learning techniques for component prediction G Williams, L Puentes, J Nelson, J Menold, C Tucker, C McComb International Design Engineering Technical Conferences and Computers and …, 2020 | 4 | 2020 |
| On the Analysis of a Compromised Additive Manufacturing System Using Spatio-Temporal Decomposition SKA Prakash, T Mahan, G Williams, C McComb, J Menold, CS Tucker International Design Engineering Technical Conferences and Computers and …, 2019 | 2 | 2019 |
| ACCELERATING THERMAL SIMULATIONS IN ADDITIVE MANUFACTURING BY TRAINING PHYSICS-INFORMED NEURAL NETWORKS WITH RANDOMLY-SYNTHESIZED DATA J Chen, J Pierce, G Williams, TW Simpson, N Meisel, S Prabha Narra, ... Journal of Computing and Information Science in Engineering, 1-14, 2024 | 1 | 2024 |
| Analyzing Expert Design Cost Estimation for Additive Manufacturing G Williams, NA Meisel, TW Simpson, C McComb International Design Engineering Technical Conferences and Computers and …, 2022 | 1 | 2022 |
| Deriving metamodels to relate machine learning quality to repository characteristics in the context of additive manufacturing G Williams, NA Meisel, TW Simpson, C McComb ASME 2020 international design engineering technical conferences and …, 2020 | 1 | 2020 |
| A Standardized Framework for Communicating and Modelling Parametrically Defined Mesostructure Patterns G Williams, J O'Brien, A Mezghani, M Eachus, NA Meisel, C McComb Solid Freeform Fabrication 2019: Proceedings of the 30th Annual …, 2019 | 1 | 2019 |
| artificial intelligence, deep learning, UUV, hull design, energy consumption, computer aided design, data-driven engineering, geometric reasoning, machine learning for … J Chen, J Pierce, G Williams, TW Simpson, N Meisel, SP Narra, ... Journal of Computing and Information Science in Engineering 24 (1), 011004, 2024 | | 2024 |
| Jiangce Chen J Pierce, G Williams, TW Simpson, N Meisel, SP Narra, C McComb Journal of Computing and Information Science in Engineering 24, 011004-1, 2024 | | 2024 |
| Dreaming of Data: Examining Data Augmentation for Machine Learning in Additive Manufacturing G Williams, M Baldwin, TW Simpson, NA Meisel, C McComb University of Texas at Austin, 2023 | | 2023 |
| Towards the Next-Generation of Engineering Design Artificial Intelligence: A Framework for Additive Manufacturing Machine Learning Development G Williams | | 2022 |
Christopher McCombGerard G. Elia Associate Professor of Mechanical Engineering, Carnegie Mellon UniversityVerified email at cmu.edu
