Poisson reduction and the Hamiltonian structure of the Euler-Yang-Mills equations

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We develop structure-preserving reduced basis methods for a large class of nondissipative problems by resorting to their formulation as Hamiltonian dynamical systems. With this perspective, the phase space is naturally endowed with a Poisson manifold struc ...

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Poisson reduction and the Hamiltonian structure of the Euler-Yang-Mills equations

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WILD SOLUTIONS TO SCALAR EULER-LAGRANGE EQUATIONS

FENNECS: a novel particle-in-cell code for simulating the formation of magnetized non-neutral plasmas trapped by electrodes of complex geometries

Adaptive Symplectic Model Order Reduction Of Parametric Particle-Based Vlasov-Poisson Equation

FIBERED TORIC VARIETIES

Rank-adaptive structure-preserving model order reduction of Hamiltonian systems

Symmetry in design and decoding of polar-like codes

Axonal and Dendritic Morphology of Excitatory Neurons in Layer 2/3 Mouse Barrel Cortex Imaged Through Whole-Brain Two-Photon Tomography and Registered to a Digital Brain Atlas

Analysis-aware defeaturing of complex geometries

Structure-preserving approaches and data-driven closure modeling for model order reduction

Outer automorphism anomalies

Structure-Preserving Reduced Basis Methods For Poisson Systems

Scattering Map for the Vlasov–Poisson System

Bundle-Specific Axon Diameter Index as a New Contrast to Differentiate White Matter Tracts

Three-dimensional fabrication of sub-micron optical waveguides in PDMS and other polymer materials

Symplectic dynamical low rank approximation of wave equations with random parameters

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

Arithmetically rigid schemes via deformation theory of equivariant vector bundles

Reduction of the sign problem near T=0 in quantum Monte Carlo simulations

Characteristic classes as complete obstructions

Dynamical Reduced Basis Methods for Hamiltonian Systems