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 | 48 | 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 | 18* | 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 | 14 | 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 |
Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing R Gnanasambandam, B Shen, ACC Law, C Dou, Z Kong IISE Transactions, 2023 | 2 | 2023 |
Neural Operator for Accelerating Coronal Magnetic Field Model Y Du, Q Li, R Gnanasambandam, M Du, H Wang, B Shen arXiv preprint arXiv:2405.12754, 2024 | | 2024 |
Physics-informed Machine Learning for Digital Twins of Metal Additive Manufacturing R Gnanasambandam Virginia Tech, 2024 | | 2024 |
Automatic Thresholding by Reconstruction Error in Unsupervised Anomaly Detection J Chung, R Gnanasambandam, ZJ Kong IISE Annual Conference and Expo, 2023 | | 2023 |
Fast Thermal Modeling of Metal Additive Manufacturing with Physics-informed Neural Networks R Gnanasambandam, ZJ Kong IISE Annual Conference and Expo, 2023 | | 2023 |