Aleksandra Pachalieva

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Numerical Simulations

Water Resources

Active Learning

Top Venues

J. Open Source Softw.

Publications

Emily Shinkle, Aleksandra Pachalieva, Riti Bahl, Sakib Matin, Brendan Gifford, Galen T. Craven, Nicholas Lubbers
Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks. CoRR (2024)
Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. CoRR (2023)
Aleksei G. Sorokin, Aleksandra Pachalieva, Daniel O'Malley, James M. Hyman, Fred J. Hickernell, Nicolas W. Hengartner
Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media. CoRR (2023)
Daniel O'Malley, Sarah Y. Greer, Aleksandra Pachalieva, Wu Hao, Dylan Robert Harp, Velimir V. Vesselinov
DPFEHM: a differentiable subsurface physics simulator. J. Open Source Softw. 8 (90) (2023)
Aleksandra Pachalieva, Robert S. Pavel, Javier E. Santos, Abdourahmane Diaw, Nicholas Lubbers, Mohammed Mehana, Jeffrey R. Haack, Hari S. Viswanathan, Daniel Livescu, Timothy C. Germann, Christoph Junghans
GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. 7 (80) (2022)
Aleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, Hari S. Viswanathan
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management. CoRR (2022)
Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan
Predictive Scale-Bridging Simulations through Active Learning. CoRR (2022)