Aleksandra Pachalieva

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Out-of-distribution transfer of PDE foundation models to material dynamics under extreme loading.
CoRR
Mahindra Singh Rautela, Alexander Most, Siddharth Mansingh, Aleksandra Pachalieva, Bradley C. Love, Daniel O'Malley, Alexander Scheinker, Kyle Hickmann, Diane Oyen, Nathan DeBardeleben, Earl Lawrence, Ayan Biswas
2025 J jnl
A Foundation Model for Material Fracture Prediction.
CoRR
Agnese Marcato, Aleksandra Pachalieva, Ryley G. Hill, Kai Gao, Xiaoyu Wang, Esteban Rougier, Zhou Lei, Vinamra Agrawal, Janel Chua, Qinjun Kang, Jeffrey D. Hyman, Abigail Hunter, Nathan DeBardeleben, Earl Lawrence, Hari S. Viswanathan, Daniel O'Malley, Javier E. Santos
2025 J jnl
Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure management.
CoRR
Harun Ur Rashid, Aleksandra Pachalieva, Daniel O'Malley
2025 J jnl
Ensemble Knowledge Distillation for Machine Learning Interatomic Potentials.
CoRR
Sakib Matin, Emily Shinkle, Yulia Pimonova, Galen T. Craven, Aleksandra Pachalieva, Ying Wai Li, Kipton Barros, Nicholas Lubbers
2024 J jnl
Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction.
CoRR
Paul Schwerdtner, Prakash Mohan, Aleksandra Pachalieva, Julie Bessac, Daniel O'Malley, Benjamin Peherstorfer
2024 J jnl
Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks.
CoRR
Emily Shinkle, Aleksandra Pachalieva, Riti Bahl, Sakib Matin, Brendan Gifford, Galen T. Craven, Nicholas Lubbers
2023 J jnl
Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media.
CoRR
Aleksei G. Sorokin, Aleksandra Pachalieva, Daniel O'Malley, James Mac Hyman, Fred J. Hickernell, Nicolas W. Hengartner
2023 J jnl
DPFEHM: a differentiable subsurface physics simulator.
J. Open Source Softw.
Daniel O'Malley, Sarah Y. Greer, Aleksandra Pachalieva, Wu Hao, Dylan Robert Harp, Velimir V. Vesselinov
2023 J jnl
Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration.
CoRR
Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley, Hari S. Viswanathan, Gowri Srinivasan
2022 J jnl
GLUE Code: A framework handling communication and interfaces between scales.
J. Open Source Softw.
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
2022 J jnl
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management.
CoRR
Aleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, Hari S. Viswanathan
2022 J jnl
Predictive Scale-Bridging Simulations through Active Learning.
CoRR
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