High Performance Computational Methods in the Nanomagnetic Materials Modeling and Design

ACTIVITIES

		  

> The Model and Theory Design for the establishment of correlations between highlight parameters of the nanomagnetic material (composition, shape, size, superficial/interface condition) and the magnitudes describing their magnetic properties. Substantiation. CO+P1+P3+P4

		  

> The experimental data collection on nanomagnetic materials (soft, hard, nanocomposites) from the work teams involved. Preliminary data analysis. CO+P1+P3+P4

		  

> The compared study of the data clustering algorithm. CO+P2

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> The database design and implementation. CO+P2+P5

		  

> Storage, sorting and classifying data extracted from experimental data, in the associated database. CO+P2+P5

		  
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> How to use study of a Neural Network Kohonen type for processing, analysis and classification of experimental data. CO+P1+P2+P3

		  
		  

> The Dependencies Review between correlated parameters classes, extracted from the database. CO+P2+P4+P5

		  
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> The Implementation and the Optimization of the Neural Network Instrument. CO+P2+P4+P5

		  
		  

> The NN obtained implementation used for a studied nanomagnetic materials class. CO+P1+P2

		  
		  
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> Computational Outcome Interpretation and Validation from physically aspects for the result sets. CO+P1+P4

		  
		  
		  

> The MS Visual C++ inclusive Platform design for the Software Modules made. CO+P2+P5

		  
		  
		  

> The generalization and the optimization of the artificial intelligence instrument based on the numeric experiments validation and on the implemented software. CO+P2+P3+P5

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> Major Results Release, making final results. CO+P1+P2+P3+P4+P5

    CEEX PROGRAM - MATNANTECH -

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