The mechanical analog computers of Hannibal Ford and William Newell

Clymer, A. Ben

doi:10.1109/85.207741

Cited by 44 publications

(13 citation statements)

References 9 publications

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“…Traditional analog computers primarily perform calculations using variable physical quantities of mechanical, electronic, or hybrid forms [1,2]. These forms result in some inherent defects, such as large size and slow response, which significantly limit the development of these computers, whereas digital computing technology has been developed to a great extent [3,4].…”

Section: Introductionmentioning

confidence: 99%

Quasi-Periodic Dendritic Metasurface for Integral Operation in Visible Light

Chen

Zhao

2020

Molecules

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A reflective metasurface model composed of silver dendritic units is designed in this study. The integral property of this metasurface, which consists of an upper layer of dendritic structures, a silica spacer, and a bottom silver substrate was demonstrated at visible wavelengths. The simulation results revealed that the metasurface can perform integral operation in the yellow and red bands; this can be easily generalized to the infrared and communication bands by scaling the transverse dimensions of this metasurface. A dendritic metasurface sample responding to red light was prepared via the bottom-up electrochemical deposition method. The integral operation property of the sample was verified experimentally. This dendritic metasurface, which can perform integral operation in visible light, can be used for big data processing technology, real-time signal processing, and beam shaping, and provides a new method for miniaturized and integrated all-optical signal processing systems.

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Section: Introductionmentioning

confidence: 99%

Quasi-Periodic Dendritic Metasurface for Integral Operation in Visible Light

Chen

Zhao

2020

Molecules

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“…The idea of analog computation dates back to the early 19th century, when a number of mechanical and electronic computing machines intended for simple mathematical operations such as differentiation or integration were developed [1,2]. Such analog computing devices were then totally overshadowed by the emergence of their digital counterparts in the second half of 20th century, as they could not compete with the speed and reliability of digital data processors [3].…”

Section: Introductionmentioning

confidence: 99%

Performing mathematical operations using high-index acoustic metamaterials

Zangeneh-Nejad

Fleury

2018

New J. Phys.

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The recent breakthrough in metamaterial-based optical computing devices (2014 Science 343 160) has inspired a quest for similar systems in acoustics, performing mathematical operations on sound waves. So far, acoustic analog computing has been demonstrated using thin planar metamaterials, carrying out the operator of choice in Fourier domain. These so-called filtering metasurfaces, however, are always accompanied with additional Fourier transform sub-blocks, enlarging the computing system and preventing its applicability in miniaturized architectures. Here, employing a simple high-index acoustic slab waveguide, we propose a highly compact and potentially integrable acoustic computing system and demonstrate its proper functioning by numerical simulations. The system directly performs mathematical operation in spatial domain and is therefore free of any Fourier bulk lens. Such compact computing system is highly promising for various applications including high throughput image processing, ultrafast equation solving, and real time signal processing.

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“…However, this approach suffers from significant restrictions such as having relatively large size and slow response. 4,[14][15][16][17][18] To go beyond the aforementioned limitations of the spatial analog computation, two approaches have been investigated recently, called metasurface approach and Green's function (GF) approach. 19,20 The metasurface approach is based on the fact that the linear convolution h(y) = f (y) * g(y) between an arbitrary electromagnetic field distribution f (y) and the Green function g(y) related to the desired operator of choice can be expressed in the spatial Fourier space as H(k y ) = F(k y )G(k y ), in which H(k y ), G(k y ) and F(k y ) are the Fourier transform of their counterparts in the convolution equation.…”

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confidence: 99%

Analog computing by Brewster effect

et al. 2016

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Optical computing has emerged as a promising candidate for real-time and parallel continuous data processing. Motivated by recent progresses in metamaterial-based analog computing [Science343, 160 (2014)SCIEAS0036-807510.1126/science.1242818], we theoretically investigate the realization of two-dimensional complex mathematical operations using rotated configurations, recently reported in [Opt. Lett.39, 1278 (2014)OPLEDP0146-959210.1364/OL.39.001278]. Breaking the reflection symmetry, such configurations could realize both even and odd Green's functions associated with spatial operators. Based on such an appealing theory and by using the Brewster effect, we demonstrate realization of a first-order differentiator. Such an efficient wave-based computation method not only circumvents the major potential drawbacks of metamaterials, but also offers the most compact possible device compared to conventional bulky lens-based optical signal and data processors.

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The mechanical analog computers of Hannibal Ford and William Newell

Cited by 44 publications

References 9 publications

Quasi-Periodic Dendritic Metasurface for Integral Operation in Visible Light

Quasi-Periodic Dendritic Metasurface for Integral Operation in Visible Light

Performing mathematical operations using high-index acoustic metamaterials

Analog computing by Brewster effect

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