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ORCIDAleksandra Pachalieva
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Journal Articles
- 2023
[j2]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): 4560 (2023)- 2022
- [j1]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): 4822 (2022)
Informal and Other Publications
- 2024
- [i7]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 abs/2406.12112 (2024) - [i6]Paul Schwerdtner, Prakash Mohan, Aleksandra Pachalieva, Julie Bessac, Daniel O'Malley, Benjamin Peherstorfer:
Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction. CoRR abs/2409.02703 (2024) - 2023
- [i5]Aleksandra A. Pachalieva, Matthew R. Sweeney, Hari S. Viswanathan, Emily Stein, Rosie Leone, Jeffrey D. Hyman:
Impact of artificial topological changes on flow and transport through fractured media due to mesh resolution. CoRR abs/2302.10994 (2023) - [i4]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 abs/2310.13765 (2023) - [i3]Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan:
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration. CoRR abs/2312.13451 (2023) - 2022
- [i2]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 abs/2206.10718 (2022) - [i1]Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael M. McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan:
Predictive Scale-Bridging Simulations through Active Learning. CoRR abs/2209.09811 (2022)
Coauthor Index
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