Ankit Roy
Pacific Northwest National Laboratory
PO Box 999
Richland, WA 99352
(509) 371-6302
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PNNL Publications
2024
- Roy A., A.R. Swope, R. Devanathan, and I. van Rooyen. 2024. "Chemical composition based machine learning model to predict defect formation in additive manufacturing." Materialia 33. PNNL-SA-189350. doi:10.1016/j.mtla.2024.102041
2023
- Roy A., A. Hussain, P. Sharma, G. Balasubramanian, M. Taufique, R. Devanathan, and P. Singh, et al. 2023. "Rapid discovery of high hardness multi-principal-element alloys using a generative adversarial network model." Acta Materialia 257. PNNL-SA-184145. doi:10.1016/j.actamat.2023.119177
- Roy A., D.J. Senor, A.M. Casella, and R. Devanathan. 2023. "Molecular dynamics simulations of radiation response of LiAlO2 and LiAl5O8." Journal of Nuclear Materials 576. PNNL-SA-171974. doi:10.1016/j.jnucmat.2023.154280
- Roy A., D.J. Senor, D.J. Edwards, A.M. Casella, and R. Devanathan. 2023. "Insights into radiation resistance of titanium alloys from displacement cascade simulations." Journal of Nuclear Materials 586. PNNL-SA-183956. doi:10.1016/j.jnucmat.2023.154695
2022
- Roy A., M. Taufique, H. Khakurel, R. Devanathan, D.D. Johnson, and G. Balasubramanian. 2022. "Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys." npj Materials Degradation 6, no. 1:Art. No. 9. PNNL-SA-170502. doi:10.1038/s41529-021-00208-y