NEW INSIGHTS IN PHYSICAL PROPERTIES PREDICTION OF INDIUM BASED SOLID SOLUTION BY EXPERIMENTAL AND ARTIFICIAL INTELLIGENCE TECHNIQUES

作者：Bizo Liliana^*; Anghel Calin I

来源：Romanian Journal of Chemistry, 2012, 57(4-5): 369-381.

• transparent conducting oxides
• electrical and optical properties
• regression techniques
• support vector machine
• minnmax approach

In order to discover new n-type or p-type transparent conductors numerous investigations have been carried out recently on transparent conducting oxides materials. Our work presents a new In5.5+xSb1.5-3xW2xO12 solid solutions prepared by solid-state reactions. Many expensive experiments for optical diffuse reflectance and electrical resistivity were realised to characterise this solid solution. To reduce the time and costs of future researches in order to improve or to obtain new transparent conducting oxides, predictions of new properties based on experimental measurements are important factors. To achieve this goal the paper implements ideas of artificial intelligence based on support vector machine in a minmax approach. The implemented procedure, named minimax decision procedure involving a link between artificial intelligence and material science, is able to predict particular variables, properties or trends. In a comparative manner, the paper presents the performance of the procedure with some established regression techniques.

• 出版日期2012-5