From Electronic/Ionic Conductors to Superconductors: Control of Materials Properties

✍ Scribed by Prof. Dr. Robert Schöllhorn

• Publisher: John Wiley and Sons
• Year: 1988
• Tongue: English
• Weight: 795 KB
• Volume: 100
• Category: Article
• ISSN: 0044-8249
• DOI: 10.1002/ange.19881001047

✦ Synopsis

Fig. 3. Tuning of the sensitivity to u r b o n monoxide by bias in the CuO/ZnO contact type gas sensor 151. 0 : with CO, A : with HI, 0: with CIHI; gas concentrations: 8000 ppm: temperature: 260°C.

netic means, the materials can be regarded as being more intelligent.

3. Conclusion

Intelligent materials can be developed through learning about the mechanisms in living organisms. However, we require materials that can be used in environments not tolerated by living organisms. Intelligent materials perform better than living organisms from the durability standpoint. Key functions for intelligent materials are self-recovery, self-adjustment or control, self-diagnosis, stand-by capability, and ability to be externally tuned. Some examples of intelligent materials have been discussed here. One example in which we can see self-recovery and stand-by capabilities, and ability to externally tune the behavior, is the p/n (CuO/ZnO) contact structure. Research and development on intelligent materials has only just begun. It is one of the most challenging frontiers of materials science.