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Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

It is shown that, in a two-dimensional simulation of the Kármán vortex street at moderate Reynolds number, the artificial neural network is able to learn an active control strategy from experimenting with the mass flow rates of two jets on the sides of a cylinder.
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Hybrid FEM-NN models: Combining artificial neural networks with the finite element method

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Preconditioners for Saddle Point Systems with Trace Constraints Coupling 2D and 1D Domains

A pair of parameter robust and efficient preconditioners are proposed and analyzed for a model problem describing the coupling of two elliptic subproblems posed over domains with different topological dimension by a parameter dependent constraint.
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Multigrid Methods for Discrete Fractional Sobolev Spaces

This work develops an additive multigrid preconditioner for the fractional Laplacian with positive fractionality, and shows a uniform bound on the condition number.
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Sleep cycle-dependent vascular dynamics enhance perivascular cerebrospinal fluid flow and solute transport

Using two-photon imaging of naturally sleeping mice, sleep cycle-dependent PVS dynamics – slow, large-amplitude oscillations in NREM, a reduction in REM and an enlargement upon awakening at the end of a sleep cycle are demonstrated.
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Can the presence of neural probes be neglected in computational modeling of extracellular potentials?

The computations show that small probes hardly influence the extra-cellular electric field and their effect can therefore typically be ignored, and the presence of the probe can improve the interpretation of extracellular recordings, by providing a more accurate estimation of the Extracellular potential generated by neuronal models.
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A Cell-Based Framework for Numerical Modeling of Electrical Conduction in Cardiac Tissue

It is concluded that collections of cardiac cells can be simulated using the EMI model, and that the E MI model enable greater modeling flexibility than the classical monodomain and bidomain models.
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A numerical investigation of intrathecal isobaric drug dispersion within the cervical subarachnoid space

Results indicated that solute distribution within the cervical spine was altered by all parameters investigated within the time range analyzed following the injection, filling a first gap towards the realization of a tool to parametrically assess and optimize intrathecal drug and gene vector delivery protocols and systems.
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How does the presence of neural probes affect extracellular potentials?

To what extent the presence of the neural probes of varying shape and size impacts the extracellular field and how to correct for them is assessed and an efficient probe correction method is introduced to include the probe effect in modeling ofextracellular potentials.
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Experiments on air entrainment produced by a circular free falling jet

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