Project Team
Students
Gabriela Gonzalez Magana
Computer Engineering
Penn State University Park, Penn State Berks
Faculty Mentors
Paris Von Lockette
Penn State University Park
Mechanical Engineering
Project
Project Video
Project Abstract
Mimicking brain function in computing is seen as the next big break through. Traditional efforts that seek to optimize three terminal (transistor-like) architectures are seen as a technology with finite limits, whereas research into two-terminal systems, wherein this work falls, are seen as inherently more scalable. The project seeks to develop analogs of neurological synapses using magnetic material analogs. Research into artificial synapses seeks to recreate fundamental ‘plasticity’ in brain function. This plasticity, or memory of response, is what the brain uses to store memories and process information. To generate the artificial synapse, use of a solid polymer with fluid – filled cavities in which there are free floating polarizable bodies will be investigated. In this approach, magnetic particles suspended in a matrix will be subjected to an oscillating magnetic field. Therefore, this project focuses on developing a mathematical model for spinning polarizable body in an oscillating field.
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