Articolo in rivista, 2014, ENG, 10.1007/s12668-013-0124-3

On the Loading of Slime Mold Physarum polycephalum with Microparticles for Unconventional Computing Application

Cifarelli A.; Dimonte A.; Berzina T.; Erokhin V.

Department of Physics and Earth Science, University of Parma, Viale Usberti 7A, Parma, 43124, Italy; CNR-IMEM, Parco Area delle Scienze, 37A, Parma, 43124, Italy

The plasmodium of Physarum polycephalum is a large single cell visible with the naked eye. The plasmodium realizes a pattern of protoplasmic veins which span sites of sources of nutrients, producing efficient network structures like cycles and Steiner minimum trees. Besides, the plasmodium can embed different chemicals; therefore, it should be possible to program the plasmodium to realize deterministic adaptive network and spatial distribution of nanoscale and microscale materials. The transported particles can be used for the modification of the physical properties of the system (electrical, optical, magnetic) facilitating the readout of the information, processed by the slime mold. Experiments with polystyrene microparticles and MnCO3 microparticles demonstrate that the plasmodium of Physarum can propagate nanoscale objects using a number of distinct mechanisms. The results of our experiments could be employed in the field of the unconventional computing and bio-computing application devices, using Physarum network as scaffolds for the development of hybrid nanocircuits and microcircuits and devices.

BioNanoScience (New York. Print) 4 (1), pp. 92–96

Keywords

Adaptive network, Microparticle transportation, Physarum polycephalum, Unconventional computing

CNR authors

Cifarelli Angelica, Dimonte Alice, Ivanova Tatiana, Erokhin Victor

CNR institutes

IMEM – Istituto dei materiali per l'elettronica ed il magnetismo

ID: 345988

Year: 2014

Type: Articolo in rivista

Creation: 2016-02-01 14:43:32.000

Last update: 2016-02-02 10:30:58.000

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:345988

DOI: 10.1007/s12668-013-0124-3

Scopus: 2-s2.0-84925279271