Výsledky vyhledávání - "Rietman, E. A."

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Unsupervised Machine Learning to Teach Fluid Dynamicists to Think in 15 Dimensions

Autor: Kops, S. M. de Bruyn, Saunders, D. J., Rietman, E. A., Portwood, G. D.

An autoencoder is used to compress and then reconstruct three-dimensional stratified turbulence data in order to better understand fluid dynamics by studying the errors in the reconstruction. The original single data set is resolved on approximately

Externí odkaz: http://arxiv.org/abs/1907.10035

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Design and characterization of dielectric filled TM$_{110}$ microwave cavities for ultrafast electron microscopy

Autor: Verhoeven, W., van Rens, J. F. M., Kemper, A. H., Rietman, E. H., van Doorn, H. A., Koole, I., Kieft, E. R., Mutsaers, P. H. A., Luiten, O. J.

Microwave cavities oscillating in the TM$_{110}$ mode can be used as dynamic electron-optical elements inside an electron microscope. By filling the cavity with a dielectric material it becomes more compact and power efficient, facilitating the imple

Externí odkaz: http://arxiv.org/abs/1811.02243

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Band-Gap Engineering of Phononic Crystals: A Computational Survey of Two-Dimensional Systems

Autor: Rietman, E. A., Glynn, J. M.

We present graphic results with high-levels of abstraction to desribe the basic principles and rules of thumb for acoustic or phononic band-gap engineering. We use these rules for developing an improved machien mount for damping acoustic vibrations,

Externí odkaz: http://arxiv.org/abs/0708.3669

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Neural Computation with Rings of Quasiperiodic Oscillators

Autor: Rietman, E. A., Hillis, R. W.

We describe the use of quasiperiodic oscillators for computation and control of robots. We also describe their relationship to central pattern generators in simple organisms and develop a group theory for describing the dynamics of these systems.

Externí odkaz: http://arxiv.org/abs/cs/0611136

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