Tolerating permanent and transient value faults

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In 1970, Furth and Yoshikawa (1970 Phys. Fluids 13 2593-6) introduced the scalings of adiabatic plasma compression. Basically, if the shape of the external plasma boundary and the aspect ratio are preserved during the compression, then the density, kinetic ...

Graph machine learning offers a powerful framework with natural applications in scientific fields such as chemistry, biology and material sciences. By representing data as a graph, we encode the prior knowledge that the data is composed of a set of entiti ...

Tolerating permanent and transient value faults

Chattez avec Graph Search

Hitting with Probability One for Stochastic Heat Equations with Additive Noise

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Chiral Anomaly and Dynamos from Inhomogeneous Chemical Potential Fluctuations

The first Grushin eigenvalue on cartesian product domains

Thick points of the planar GFF are totally disconnected for all & gamma;=6 0*

Present design of the Steering Mirror Assembly (SMA) for ITER ECHUL

Functional data analysis with rough sample paths?

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction

LISA – A Modern Proof System

Shafranov shift correction to the Furth-Yoshikawa scaling of tokamak adiabatic compression

Equivariant Neural Architectures for Representing and Generating Graphs