Graphene-based memory resistors show promise for brain-based computing


Graphene-based memory resistors show promise for brain-based computing


On behalf of the Journal, as Editor-in-Chief, it is my distinct honor and privilege to welcome you to the Journal of Theoretical and Computational Science.

The Journal of Theoretical and Computational Science aims to spread knowledge and promote discussion through the publication of peer-reviewed, high quality research papers on all topics related to Modern Scientific Techniques. The open access journal is published by Longdom Publishing who hosts open access peer-reviewed journals as well as organizes conferences that hosts the work of researchers in a manner that exemplifies the highest standards in research integrity.

As progress in traditional computing slows, new forms of computing are coming to the forefront. At Penn State, a team of engineers is attempting to pioneer a type of computing that mimics the efficiency of the brain's neural networks while exploiting the brain's analog nature.

Modern computing is digital, made up of two states, on-off or one and zero. An analog computer, like the brain, has many possible states. It is the difference between flipping a light switch on or off and turning a dimmer switch to varying amounts of lighting.

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With regards,

Joseph Marreddy
Managing Editor
Journal of Theoretical and Computational Science
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