A NEW IT STRATEGY ANN BASED FOR SPECIAL NANOMAGNETIC MATERIALS DESIGN AND CHARACTERISATION

摘要

Modelling has played a very important role in the development and improvement of new materials for applications. Our knowledge of nanomaterials such as quantum dots, nanostructures, molecular assembly, proteins or DNA molecules, is still at a very begining stage. Modelling and simulation techniques affect all stages in the development and improvement of new materials, from the initial formation of concepts to synthesis, characterization and properties. We think new modelling strategies for complex material systems are needed. At present time it still seems unlikely that we will be able to treat all of the interesting problems by ab initio methods. Even if this were to become possible, the analysis of the enormous amount of data generated from computer simulations would itself require massive computing power and a comprehensive modelling strategy. Such modelling strategies should focus on the multi-scale and multiphysics nature of emergent problem in area. We gently introduce here the Artificial Neural Network (ANN). In our first model we intend to use for the input data e.g. the chemical composition, thermal treatments and some structure data. As output data: AHE, and magneto-resistance effect of some of our new magnetic Co-based alloys.