2010
DOI: 10.1142/s0129183110015051
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Augmented Space Recursion Code and Application in Simple Binary Metallic Alloy

Abstract: We present here an optimized and parallelized version of the augmented space recursion code for the calculation of the electronic and magnetic properties of bulk disordered alloys, surfaces and interfaces, either flat, corrugated or rough, and random networks. Applications have been made to bulk disordered alloys to benchmark our code.

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Cited by 7 publications
(3 citation statements)
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“…Augmented Space Formalism (ASF) [17,18], introduced originally for the study of binary alloys is extended to deal with a rough surfaces [13]. Therefore we have coupled ASF with the recursion method [19], (ASR) [20,21] to study surface magnetism. Therefore, ASF with recursion method is a good tool to study the localized properties of disordered systems considering all the configurations.…”
Section: Introductionmentioning
confidence: 99%
“…Augmented Space Formalism (ASF) [17,18], introduced originally for the study of binary alloys is extended to deal with a rough surfaces [13]. Therefore we have coupled ASF with the recursion method [19], (ASR) [20,21] to study surface magnetism. Therefore, ASF with recursion method is a good tool to study the localized properties of disordered systems considering all the configurations.…”
Section: Introductionmentioning
confidence: 99%
“…Augmented space formalism [13][14][15][16] is a suitable technique to deal with binary disordered alloys, and this formalism has been applied successfully to rough surface and alloyed interfaces. [12,[17][18][19] To deal with the first principle calculation, ASF is combined with the TB-LMTO method.…”
Section: Methodsmentioning
confidence: 99%
“…The ASF [4,5] emerged as one of the very few methods that accurately described not only the averaged background disorder, but also a large deal of configuration fluctuations. The ASF has been described in detail in a number of papers [4,5,6] and book [7]. We refer the reader to them and mention here only those aspects of it which are relevant to our problem.…”
Section: Methodsmentioning
confidence: 99%