Abstract
The computing functionality emerging from spatial correlations due to near-field interactions between local processing and memory elements is discussed. In particular, we investigate the possibility of solving a problem analogous to the spin-glass problem by using a coupled dipole system, in which the individual coupling strengths can be modified to optimize the system so that the exact solution can be easily reached. For this algorithm, we propose an implementation based on a coupled plasmonparticle system interacting with a phase-change material; this system exhibits threshold behavior and plasticity to provide processing and memory functions, respectively.
| Original language | English |
|---|---|
| Pages (from-to) | 1323-1327 |
| Number of pages | 5 |
| Journal | International Journal of Metalcasting |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2015 |
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ASJC Scopus subject areas
- Mechanics of Materials
- Metals and Alloys
- Industrial and Manufacturing Engineering
- Materials Chemistry
Cite this
Computations with near-field coupled plasmon particles interacting with phase-change materials. / Kanazawa, Shohei; Kuwamura, Kenta; Kihara, Yuya; Hirukawa, Yusuke; Saiki, Toshiharu.
In: International Journal of Metalcasting, Vol. 9, No. 1, 2015, p. 1323-1327.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Computations with near-field coupled plasmon particles interacting with phase-change materials
AU - Kanazawa, Shohei
AU - Kuwamura, Kenta
AU - Kihara, Yuya
AU - Hirukawa, Yusuke
AU - Saiki, Toshiharu
PY - 2015
Y1 - 2015
N2 - The computing functionality emerging from spatial correlations due to near-field interactions between local processing and memory elements is discussed. In particular, we investigate the possibility of solving a problem analogous to the spin-glass problem by using a coupled dipole system, in which the individual coupling strengths can be modified to optimize the system so that the exact solution can be easily reached. For this algorithm, we propose an implementation based on a coupled plasmonparticle system interacting with a phase-change material; this system exhibits threshold behavior and plasticity to provide processing and memory functions, respectively.
AB - The computing functionality emerging from spatial correlations due to near-field interactions between local processing and memory elements is discussed. In particular, we investigate the possibility of solving a problem analogous to the spin-glass problem by using a coupled dipole system, in which the individual coupling strengths can be modified to optimize the system so that the exact solution can be easily reached. For this algorithm, we propose an implementation based on a coupled plasmonparticle system interacting with a phase-change material; this system exhibits threshold behavior and plasticity to provide processing and memory functions, respectively.
UR - http://www.scopus.com/inward/record.url?scp=84948982451&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84948982451&partnerID=8YFLogxK
U2 - 10.1007/s00339-015-9338-2
DO - 10.1007/s00339-015-9338-2
M3 - Article
VL - 9
SP - 1323
EP - 1327
JO - International Journal of Metalcasting
JF - International Journal of Metalcasting
SN - 1939-5981
IS - 1
ER -