| Multi-fidelity surrogate-based process mapping with uncertainty quantification in laser directed energy deposition N Menon, S Mondal, A Basak Materials 15 (8), 2902, 2022 | 21 | 2022 |
| A reinforcement learning approach for process parameter optimization in additive manufacturing S Dharmadhikari, N Menon, A Basak Additive Manufacturing 71, 103556, 2023 | 16 | 2023 |
| Prediction of melt pool geometry by fusing experimental and simulation data N Menon, A Basak International Journal of Mechanical Sciences 263, 108786, 2024 | 6 | 2024 |
| Microstructure of IN738LC Fabricated Using Laser Powder Bed Fusion Additive Manufacturing N Menon, TH Mahdi, A Basak Journal of Turbomachinery 144 (3), 031011, 2022 | 6 | 2022 |
| A Comparison of Microstructure and Microhardness Properties of IN718 Fabricated via Powder-and Wire-Fed Laser-Directed Energy Deposition N Menon, BA Sawyer, CD Jamieson, EW Reutzel, A Basak Materials 16 (3), 1129, 2023 | 3 | 2023 |
| Transferring Process Mapping Knowledge across SS316L and IN718 in Laser Directed Energy Deposition Using Machine Learning N Menon, S Mondal, A Basak | 2 | 2022 |
| Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition N Menon, A Basak arXiv preprint arXiv:2403.13136, 2024 | 1 | 2024 |
| Linking processing parameters with melt pool properties of multiple nickel-based superalloys via high-dimensional Gaussian process regression N Menon, S Mondal, A Basak Journal of Materials Informatics 3 (1), N/A-N/A, 2023 | 1 | 2023 |
| Transferring melt pool knowledge between multiple materials in laser-directed energy deposition via Gaussian process regression KH Huang, N Menon, A Basak Engineering with Computers, 1-20, 2024 | | 2024 |
| Prediction of delta-ferrite formation in 17-4 PH steel using zero-inflated Gaussian process N Menon, DJ Shaffer, TA Palmer, A Basak Materials Today Communications 38, 107953, 2024 | | 2024 |
| Composition-process-structure linkages in metal additive manufacturing N Menon | | 2024 |
| A Computational Study Summarizing the Effects of Composition on the Melt Pool Geometry in Additive Manufacturing D Gwynn, SS Gundimeda, N Menon, A Basak | | 2022 |
| Machine Learning-Assisted Prediction of Thermophysical Properties of Nickel-Base Alloys over a Temperature Range S Mondal, N Menon, A Ray, A Basak | | 2022 |
Sudeepta MondalSenior Research Scientist, Raytheon Technologies Research Center在 rtx.com 的电子邮件经过验证
