| 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 | 72 | 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 45 (12 …, 2023 | 57* | 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 | 26 | 2023 |
| Sub-surface thermal measurement in additive manufacturing via machine learning-enabled high-resolution fiber optic sensing R Wang, R Wang, C Dou, S Yang, R Gnanasambandam, A Wang, Z Kong Nature Communications 15 (1), 7568, 2024 | 15 | 2024 |
| 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 | 12 | 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 | 10 | 2020 |
| Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model Y Du, Q Li, R Gnanasambandam, M Du, H Wang, B Shen 2024 IEEE International Conference on Big Data (BigData), 1964-1971, 2024 | 4* | 2024 |
| Physics-informed Machine Learning for Digital Twins of Metal Additive Manufacturing R Gnanasambandam Virginia Tech, 2024 | 2 | 2024 |
| Reinforced Scan: A Reinforcement Learning Enabled Optimal Laser Scan Path Planning in Powder Bed Fusion Additive Manufacturing C Dou, J Chung, R Gnanasambandam, Y Wu, J Li, Z Kong | | 2025 |
| Coupled Physics-Informed Neural Network for Multi-Physics Modeling in Additive Friction Stir Deposition R Gnanasambandam, N Gotawala, X Wu, B Standfield, C Dou, H Yu, ... Authorea Preprints, 2025 | | 2025 |
| 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 |
Zhenyu (James) KongSmart Manufacturing, Industrial & Systems Engineering, Virginia TechVerified email at vt.edu
