Staff information

PNNL Publications

2021

• Ahmmed B., M. Mudunuru, S. Karra, S.C. James, and V.V. Vesselinov. 2021. "A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing." Journal of Computational Physics 432. PNNL-SA-157340. doi:10.1016/j.jcp.2021.110147
• Ahmmed B., S. Karra, V.V. Vesselinov, and M. Mudunuru. 2021. "Machine Learning to Discover Mineral Trapping Signatures due to CO2 Injection." International Journal of Greenhouse Gas Control 109. PNNL-SA-158891. doi:10.1016/j.ijggc.2021.103382
• Mudunuru M., and S. Karra. 2021. "Physics-Informed Machine Learning Models for Predicting the Progress of Reactive-Mixing." Computer Methods in Applied Mechanics and Engineering 374. PNNL-SA-157344. doi:10.1016/j.cma.2020.113560
• Siler D.L., J.D. Pepin, V.V. Vesselinov, M. Mudunuru, and B. Ahmmed. 2021. "Machine learning to identify geologic factors associated with production in geothermal fields: A case-study using 3D geologic data, Brady geothermal field, Nevada." Geothermal Energy 9, no. 1:Article No. 17. PNNL-SA-158884. doi:10.1186/s40517-021-00199-8

2020

• Ahmmed B., M. Mudunuru, S. Karra, S.C. James, H. Viswanathan, and J. Dunbar. 2020. "PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-induced Polarization of Electrical Impedance Data." Energies 13, no. 24:6552. PNNL-SA-157259. doi:10.3390/en13246552