Project/Area Number |
13650348
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Electronic materials/Electric materials
|
Research Institution | Ehime University |
Principal Investigator |
FUJII Masaharu EHIME UNIVERSITY, Faculty of Engineering, Associate Professor, 工学部, 助教授 (00127911)
|
Co-Investigator(Kenkyū-buntansha) |
IHORI Haruo EHIME UNIVERSITY, Faculty of Engineering, Assistant, 工学部, 助手 (70249861)
有井 清益 愛媛大学, 工学部, 教授 (20036403)
|
Project Period (FY) |
2001 – 2003
|
Project Status |
Completed (Fiscal Year 2003)
|
Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2003: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 2002: ¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2001: ¥1,800,000 (Direct Cost: ¥1,800,000)
|
Keywords | Conducting polymer / Network / Neuron / Fractal / Local fractal / Envirnment / 電界分布 / カー効果 / 液体誘電体 / 時系列測定 / 電界測定 / フラクタル次元 / 環境依存性 |
Research Abstract |
1.A model of neuron-type conducting polymer has been considered to estimate the dependence of the pattern of neuron-type conducting polymer on environmental conditions using the modified diffusion-limited model. The motion of the particle corresponds the conditions of polymerization solution. Thus the connection of two neuron-type conducting polymer could be established. The network of eight-neuron-type conducting polymer also was simulated. The patterns have been estimated by local fractal dimension. 2.A composite conducting polymer could make the process of learning effect stable under dropping ethanol. Dopant was kept in the path of composite conducting polymer using the pre-treatment of supervisor pulses. This stability was confirmed using the simple composite conducting polymer network. 3.Actual neuron-like network of composite conducting polymer has been prepared. The coating of conducting polymer is important in order to add the learning effect to paths of the network.
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