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10.1115/msec2021-60675

14 mm will maximize the natural structures mechanical properties.

Assessing the Mechanical Properties of 3D Printed Bio-Inspired Structures and Integrating Them Into a Product

10.1021/acs.jpcc.1c01425

In this work, we present theoretical investigations of these coupling processes based on a continuum mechanics approach, considering various systems composed by two identical nanostructures mechanically coupled by a spacer made of a different material and computing their eigenfrequencies as a function of the spacer thickness.

Vibrations of Dimers of Mechanically Coupled Nanostructures: Analytical and Numerical Modeling

10.1038/d41586-021-00489-y

Tiny solid structures mechanically connect the contracting muscles to the fins, making them flap.

Soft robot reaches the deepest part of the ocean.

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10.1063/1.5139656

The method of the steel structures mechanical characteristics determination during monitoring tests is considered with the dynamic shock conical indentation.

Monitoring of metal structures with the dynamic methods

10.1007/S00707-019-02436-5

The trained recurrent neural network reliably approximates the structures mechanical response and considerably reduces the computation time per sample.

An efficient Monte Carlo strategy for elasto-plastic structures based on recurrent neural networks

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Structures Mechanical - 14 mm will maximize the natural structures mechanical properties. [1] In this work, we present theoretical investigations of these coupling processes based on a continuum mechanics approach, considering various systems composed by two identical nanostructures mechanically coupled by a spacer made of a different material and computing their eigenfrequencies as a function of the spacer thickness. [2] Tiny solid structures mechanically connect the contracting muscles to the fins, making them flap. [3] The method of the steel structures mechanical characteristics determination during monitoring tests is considered with the dynamic shock conical indentation. [4] The trained recurrent neural network reliably approximates the structures mechanical response and considerably reduces the computation time per sample. [5]