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Computación mecánica

Hiromi Yasuda1, Philip R Buskohl2, Andrew Gillman2

  • 1Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA.

Nature
|October 7, 2021
PubMed
Resumen
Este resumen es generado por máquina.

Los investigadores exploran los sistemas de computación mecánica que combinan la ciencia de los materiales y la robótica. Estos nuevos sistemas ofrecen un nuevo paradigma para el procesamiento de información, aumentando potencialmente la computación electrónica al adaptarse a su entorno.

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Área de la Ciencia:

  • Ciencias de los materiales
  • La robótica
  • Ingeniería informática

Sus antecedentes:

  • Los mecanismos mecánicos tienen una larga historia de procesamiento de información, que es anterior a la computación electrónica.
  • La computación electrónica domina debido a las ventajas de miniaturización e integración.
  • Los enfoques informáticos no convencionales fusionan el procesamiento de información con la ciencia de los materiales y la robótica.

Objetivo del estudio:

  • Discutir el uso de mecanismos mecánicos y no linealidades para el procesamiento de la información.
  • Proponer un marco para materiales y estructuras adaptables como redes de procesamiento de información distribuida.
  • Explorar el procesamiento de la información de visualización como una propiedad material inherente.

Principales métodos:

  • Centrarse en la abstracción de la lógica digital dentro de los sistemas mecánicos.
  • Análisis de cómo los sistemas de computación mecánica difieren de la computación electrónica tradicional.
  • Identificación de desafíos y oportunidades en la computación mecánica.

Principales resultados:

  • Los sistemas mecánicos pueden procesar información, aprovechando las no linealidades.
  • Los materiales adaptables pueden formar redes de procesamiento de información distribuidas.
  • El procesamiento de la información se puede conceptualizar como una propiedad material.

Conclusiones:

  • La computación mecánica presenta una alternativa viable y un aumento de la computación electrónica.
  • Este enfoque abre nuevas vías para integrar la computación en los sistemas físicos.
  • Se necesita más investigación para superar los desafíos y darse cuenta de las oportunidades en la computación mecánica.