Research Summary

1. Brief: Use versatility of atomic orbitals inside a molecule and weak interaction between molecules to develop a molecular cellular automata based bio-processor. An intelligent organic monolayer is developed that can process information like our neural system, and thus build an ultimate parallel processor using bio/organic materials.

2. Ultimate goal: Making intelligent parallel bio-processor based on neural network using cellular automata like organic monolayer.

3. Details: Developing an alternative to moletronics. Using concept of a neuron, building several multi-level single molecule nano-switches and several single molecule integrated circuits, which are smallest in the world. Combining ultimate single molecule integrated circuits (SMIC) and supramolecular electronics (supartonics) an intelligent monolayer is designed and neural network like matrix operation is carried out on this surface. We realised the concept of neuronlike single molecule switch, and the first SMIC.

4. Experimental: Self-Assembled Monolayer (SAM), Layer by Layer Electrostatic Self-Assembly (ESA), Electrodeposition, Electronic characterisation of RAM and ROM, Impedance Spectroscopy, Variable Angle Ellipsometry, UHV-STM, AFM, SEM, and Absorption Spectroscopy.

5. Theoretical: Virtual NanoLab (VNL). For transport simulation in two probe devices and NT-STM for STM image simulation, density functional theory (DFT) using Gaussian 03.

Contact: Anirban Bandyopadhyay, National Institute for Materials Science, Tsukuba, Japan-305-0037