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To perform such simulations, the frictional properties on the plate boundary must be known.
Microelectronic package designers often do not have the time and the expertise to perform such simulations.
In this paper, we provide a detailed description of the procedure to perform such simulations and discuss the approximations and assumptions involved.
The types of quantum hardware proposed to perform such simulations are as hugely varying as the problems they aim to solve: trapped ions [14 19], cold atoms in optical lattices [20 22], liquid and solid-state NMR [23 27], photons [28 33], quantum dots [34 36], superconducting circuits [6, 37 42], and NV centres [43, 44].
The ability to perform such simulations in domains with natural contours and continuously changing nonstandard shapes was enabled by our previous development of new finite element computational methods which are applicable to any biological system in which fields of chemicals or other mobile agents are produced by activator-inhibitor interactions on domains of changing size and shape [42].
How can one perform such simulations in a QL framework?
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To perform such simulation studies, it is important to include both non-tidal and tidal effects.
Christenson et al. (2010) performed such simulations for a simple one-dimensional case.
Although we estimated accuracy of VBDM at the liver-lung interface through simulations, we have not performed such simulations for patient data.
The functions performing such simulations are described in Additional file 1.
Moreover, we have performed such simulations with no IPTG in the medium.
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