Skip to Main Content U.S. Department of Energy
Fundamental and Computational Sciences Directorate

Staff information

Satish Karra

Computational Scientist

PNNL Publications

2025

  • Shi C., M. Mudunuru, M.M. Bowman, Q. Zhao, J.G. Toyoda, W.R. Kew, and Y. Eberlim de Corilo, et al. 2025. "Scaling High-resolution Soil Organic Matter Composition to Improve Predictions of Potential Soil Respiration Across the Continental United States." Geophysical Research Letters 52, no. 4:Art. No. e2024GL113091. PNNL-SA-199762. doi:10.1029/2024GL113091

2024

  • Ahmmed B., E. Rau, M. Mudunuru, S. Karra, J.R. Tempelman, A.J. Wachtor, and J.B. Forien, et al. 2024. "Deep Learning with Mixup Augmentation for Improved Pore Detection during Additive Manufacturing." Scientific Reports 14, no. _:Art. NO. 13365. PNNL-SA-198405. doi:10.1038/s41598-024-63288-1
  • Johnson T.C., J.A. Burghardt, G.E. Hammond, S. Karra, P. Jaysaval, K.M. Rosso, and J.D. Hyman. 2024. "Electrical Resistivity Tomography based monitoring of stress perturbations to optimize placement of high-precision strain meters." In Proceedings of the 58th U.S. Rock Mechanics/Geomechanics Symposium, June 23-26, 2024, Golden, CO, Paper No. ARMA-2024-1130. Westminster, Colorado:American Rock Mechanics Association (ARMA). PNNL-SA-195636. doi:10.56952/ARMA-2024-1130
  • Mamud M., M. Mudunuru, S. Karra, and B. Ahmmed. 2024. "Quantifying local and global mass balance errors in physics-informed neural networks." Scientific Reports 14, no. _:Art. No. 15541. PNNL-SA-198826. doi:10.1038/s41598-024-65472-9

2023

  • Andrews E.M., J.D. Hyman, M. Sweeney, S. Karra, J.D. Moulton, and A.K. Navarre-Sitchler. 2023. "Fracture intensity impacts on reaction front propagation and mineral weathering in three-dimensional fractured media." Water Resources Research 59, no. 2:Art. No. e2022WR032121. PNNL-SA-181398. doi:10.1029/2022WR032121
  • Hansen S.K., Y. Tao, and S. Karra. 2023. "Impacts of permeability heterogeneity and background flow on supercritical CO2 dissolution in the deep subsurface." Water Resources Research 59, no. 11:Art. No. e2023WR035394. PNNL-SA-185371. doi:10.1029/2023WR035394
  • Karra S., M. Mehana, N. Lubbers, Y. Chen, A. Diaw, J. Santos, and A. Pachalieva, et al. 2023. "Predictive Scale-Bridging Simulations through Active Learning." Scientific Reports 13. PNNL-SA-174843. doi:10.1038/s41598-023-42823-6
  • Mudunuru M., B. Ahmmed, E. Rau, V.V. Vesselinov, and S. Karra. 2023. "Machine Learning for Geothermal Resource Exploration in the Tularosa Basin, New Mexico." Energies 16, no. 7:Art. No. 3098. PNNL-SA-181184. doi:10.3390/en16073098

2022

  • Hyman J.D., A.K. Navarre-Sitchler, E. Andrews, M. Sweeney, S. Karra, J. Carey, and H. Viswanathan. 2022. "A Geo-structurally Based Correction Factor for Apparent Dissolution Rates in Fractured Media." Geophysical Research Letters 49, no. 15:Art. No. e2022GL099513. PNNL-SA-175726. doi:10.1029/2022GL099513

Science at PNNL

Core Research Areas

User Facilities

Centers & Institutes

Research Highlights

View All Research Highlights & Staff Accomplishments

RSS Feed

Contacts