Lagrangian large eddy simulations via physics-informed machine learning. [PDF]
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Group theoretical analysis for unsteady magnetohydrodynamics flow and radiative heat transfer of power-law nanofluid subject to Navier's slip conditions. [PDF]
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Neural Network Approaches for Soft Biological Tissue and Organ Simulations. [PDF]
J Biomech Eng, 2022 Sacks MS +3 more
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Lie Group Cohomology and (Multi)Symplectic Integrators: New Geometric Tools for Lie Group Machine Learning Based on Souriau Geometric Statistical Mechanics. [PDF]
Entropy (Basel), 2020 Barbaresco F, Gay-Balmaz F.
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Conformal field theory complexity from Euler-Arnold equations. [PDF]
J High Energy Phys, 2020 Flory M, Heller MP.
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On integrable conservation laws. [PDF]
Proc Math Phys Eng Sci, 2015 Arsie A, Lorenzoni P, Moro A.
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GEMS: A Fully Integrated PETSc-Based Solver for Coupled Cardiac Electromechanics and Bidomain Simulations. [PDF]
Front Physiol, 2018 Arens S, Dierckx H, Panfilov AV.
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On the effective field theory of heterotic vacua. [PDF]
Lett Math Phys, 2018 McOrist J.
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Twistor theory at fifty: from contour integrals to twistor strings. [PDF]
Proc Math Phys Eng Sci, 2017 Atiyah M, Dunajski M, Mason LJ.
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