| In-process comprehensive prediction of bead geometry for laser wire-feed DED system using molten pool sensing data and multi-modality CNN ND Jamnikar, S Liu, C Brice, X Zhang The International Journal of Advanced Manufacturing Technology 121 (1), 903-917, 2022 | 13 | 2022 |
| In situ microstructure property prediction by modeling molten pool-quality relations for wire-feed laser additive manufacturing ND Jamnikar, S Liu, C Brice, X Zhang Journal of Manufacturing Processes 79, 803-814, 2022 | 11 | 2022 |
| Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing N Jamnikar, S Liu, C Brice, X Zhang arXiv preprint arXiv:2103.11588, 2021 | 3 | 2021 |
| Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data N Jamnikar, S Liu, C Brice, X Zhang arXiv preprint arXiv:2103.12066, 2021 | 3 | 2021 |
| Comprehensive molten pool condition-process relations modeling using CNN for wire-feed laser additive manufacturing N Jamnikar, S Liu, C Brice, X Zhang Journal of Manufacturing Processes 98, 42-53, 2023 | 2 | 2023 |
| Comprehensive Modeling of Process-Molten Pool Condition-Property Correlations for Wire-Feed Laser Additive Manufacturing N Jamnikar Colorado School of Mines, 2021 | | 2021 |
