Feedback Integrators for Mechanical Systems with Holonomic Constraints. [PDF]
Sensors (Basel), 2022 Chang DE, Perlmutter M, Vankerschaver J.
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Symplectic encoders for physics-constrained variational dynamics inference. [PDF]
Sci Rep, 2023 Bacsa K, Lai Z, Liu W, Todd M, Chatzi E.
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Approximate Exponential Integrators for Time-Dependent Equation-of-Motion Coupled Cluster Theory. [PDF]
J Chem Theory Comput, 2023 Williams-Young DB +3 more
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Approximation of nearly-periodic symplectic maps via structure-preserving neural networks. [PDF]
Sci Rep, 2023 Duruisseaux V, Burby JW, Tang Q.
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Accelerated Optimization on Riemannian Manifolds via Discrete Constrained Variational Integrators. [PDF]
J Nonlinear Sci, 2022 Duruisseaux V, Leok M.
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GANBISS: a new GPU accelerated N-body code for binary star systems. [PDF]
Celest Mech Dyn Astron, 2023 Zimmermann M, Pilat-Lohinger E.
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Parsimonious neural networks learn interpretable physical laws. [PDF]
Sci Rep, 2021 Desai S, Strachan A.
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Structure-preserving integrators for dissipative systems based on reversible- irreversible splitting. [PDF]
Proc Math Phys Eng Sci, 2020 Shang X, Öttinger HC.
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Evaluating the Implicit Midpoint Integrator for Riemannian Manifold Hamiltonian Monte Carlo. [PDF]
Proc Mach Learn Res, 2021 Brofos JA, Lederman RR.
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Symplectic Structures on Integral Manifolds [PDF]
Indiana University Mathematics Journal, 1973 openaire +2 more sources