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Aleksandra Pachalieva

Showing results (1-10 of 8) with videos related to

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Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|August 30, 2021
Molecular dynamics lattice gas equilibrium distribution function for Lennard-Jones particlesAleksandra Pachalieva, Alexander J Wagner
Physical Review. E|December 17, 2020
Non-Gaussian distribution of displacements for Lennard-Jones particles in equilibriumAleksandra Pachalieva, Alexander J Wagner
Scientific Reports|February 23, 2026
Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure managementHarun Ur Rashid, Aleksandra Pachalieva, Daniel O'Malley
Scientific Reports|November 5, 2022
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure managementAleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, et al.
The Journal of Chemical Physics|April 28, 2026
Knowledge distillation of noisy force labels for improved coarse-grained force fieldsFeranmi V Olowookere, Sakib Matin, Aleksandra Pachalieva, et al.
Journal of Chemical Theory and Computation|November 23, 2024
Thermodynamic Transferability in Coarse-Grained Force Fields Using Graph Neural NetworksEmily Shinkle, Aleksandra Pachalieva, Riti Bahl, et al.
Scientific Reports|September 27, 2023
Predictive scale-bridging simulations through active learningSatish Karra, Mohamed Mehana, Nicholas Lubbers, et al.
Scientific Data|December 13, 2025
Material Fracturing and Failure Simulation DatasetsRyley G Hill, Kai Gao, Aleksandra Pachalieva, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|August 30, 2021
Molecular dynamics lattice gas equilibrium distribution function for Lennard-Jones particlesAleksandra Pachalieva, Alexander J Wagner
Physical Review. E|December 17, 2020
Non-Gaussian distribution of displacements for Lennard-Jones particles in equilibriumAleksandra Pachalieva, Alexander J Wagner
Scientific Reports|February 23, 2026
Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure managementHarun Ur Rashid, Aleksandra Pachalieva, Daniel O'Malley
Scientific Reports|November 5, 2022
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure managementAleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, et al.
The Journal of Chemical Physics|April 28, 2026
Knowledge distillation of noisy force labels for improved coarse-grained force fieldsFeranmi V Olowookere, Sakib Matin, Aleksandra Pachalieva, et al.
Journal of Chemical Theory and Computation|November 23, 2024
Thermodynamic Transferability in Coarse-Grained Force Fields Using Graph Neural NetworksEmily Shinkle, Aleksandra Pachalieva, Riti Bahl, et al.
Scientific Reports|September 27, 2023
Predictive scale-bridging simulations through active learningSatish Karra, Mohamed Mehana, Nicholas Lubbers, et al.
Scientific Data|December 13, 2025
Material Fracturing and Failure Simulation DatasetsRyley G Hill, Kai Gao, Aleksandra Pachalieva, et al.
Pageof 1