Artificial neural networks based on metallic nanofibers

Project Director: Dr. alex.evanghelidis

Project code:

Project no.: PD 127


Funding agency:The Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI)

The purpose of this project is to create a small scale physical artificial neural network (PANN) by using electrospun metallic webs as a low-cost and easily fabricated substrate. This PANN could be used in portable applications for complex signal analysis, such as voice recognition, without requiring a constant Internet connection, thus enabling decentralized and private access to powerful machine learning services.

A reservoir computing network, also known as echo state network, is a class of artificial neural network algorithms which relies on a static randomly connected network, i.e. the reservoir, and a single trainable output layer, which greatly accelerates the training process, in contrast with the Deep Learning paradigm, where the network consists of multiple trainable layers. The particular morphology and nanoscale heat transport properties of electrospun metallic webs makes them well suited for use as reservoirs, as they offer both the required connectivity and the nonlinear response of the individual "neurons".

The activities of the project start at the micro level of individual fibers. Their electrical and heat transport properties will be measured experimentally and modeled using finite element methods. These results will then be fed into a macro scale model of the entire metallic web, which will be used to find the physical parameters required for the PANN to work. Using those parameters, the PANN will be fabricated and tested according to the standard literature benchmarks.

Contracted budget:

Principal Investigator: CS3 Dr. Alexandru Evanghelidis

Mentor: CS1 Dr. Lucică Miu

Example of a simulated sparse nanofiber network subjected to several voltage pulses which cause it to heat up unevenly. 


Influence of ambient temperature on the formation of current pulses in metallic nanofiber networks. 

Leaky integrator behavior created in metallic nanofiber networks.


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