| Image data-based surface texture characterization and prediction using machine learning approaches for additive manufacturing V Akhil, G Raghav, N Arunachalam, DS Srinivas Journal of Computing and Information Science in Engineering 20 (2), 021010, 2020 | 42 | 2020 |
| Self-scalable tanh (stan): Multi-scale solutions for physics-informed neural networks R Gnanasambandam, B Shen, J Chung, X Yue, Z Kong IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 13* | 2023 |
| Multi-task Gaussian process upper confidence bound for hyperparameter tuning and its application for simulation studies of additive manufacturing B Shen, R Gnanasambandam, R Wang, ZJ Kong IISE Transactions 55 (5), 496-508, 2023 | 11 | 2023 |
| Surface texture characterization of selective laser melted Ti-6Al-4V components using fractal dimension and lacunarity analysis V Akhil, N Arunachalam, G Raghav, D Sivasrinivasu Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2020 | 5 | 2020 |
| Fast Thermal Modeling of Metal Additive Manufacturing with Physics-informed Neural Networks R Gnanasambandam, ZJ Kong IISE Annual Conference and Expo, 2023 | | 2023 |
| Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing R Gnanasambandam, B Shen, ACC Law, C Dou, Z Kong TechRxiv. Preprint https://doi.org/10.36227/techrxiv.23548143.v1, 2023 | | 2023 |
Zhenyu (James) KongSmart Manufacturing, Industrial & Systems Engineering, Virginia TechVerified email at vt.edu
