Prediction of structures and related properties of silicon clusters

Mostrar todas las versiones(2)

Silicon is one of the most important semi conducting materials employed in microelectronic technologies. This chapter is dedicated to review the enormous effort made during the last years to develop confident methods to determinate the geometries and related properties of silicon clusters. Searching...

Descripción completa

Detalles Bibliográficos
Autor principal:	Ferraro, Marta Beatriz
Publicado:	2007
Materias:	Global optimization Microelectronics Molecular dynamics Silicon Structures (built objects) Conducting materials Generic structural motif Global optimization method Hybrid methodologies Local optimizations Microelectronic technologies Silicon clusters State of the art Structural optimization
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14727978_v7_n3-4_p195_Ferraro http://hdl.handle.net/20.500.12110/paper_14727978_v7_n3-4_p195_Ferraro
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_14727978_v7_n3-4_p195_Ferraro
record_format	dspace
spelling	paper:paper_14727978_v7_n3-4_p195_Ferraro2023-06-08T16:17:32Z Prediction of structures and related properties of silicon clusters Ferraro, Marta Beatriz Global optimization Microelectronics Molecular dynamics Silicon Structures (built objects) Conducting materials Generic structural motif Global optimization method Hybrid methodologies Local optimizations Microelectronic technologies Silicon clusters State of the art Structural optimization Silicon is one of the most important semi conducting materials employed in microelectronic technologies. This chapter is dedicated to review the enormous effort made during the last years to develop confident methods to determinate the geometries and related properties of silicon clusters. Searching employing full global optimization of the energy surface, using techniques like Molecular Dynamics (MD), algorithms, and local optimization of structures built onto generic structural motifs are reported. Hybrid methodologies combining tight-binding (TB) with global optimization methods also contribute to the state of the art in the prediction of the structures, and calculation of properties of silicon clusters, based on all-electron DFT methods are also included. © 2007 IOS Press and the authors. Fil:Ferraro, M.B. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2007 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14727978_v7_n3-4_p195_Ferraro http://hdl.handle.net/20.500.12110/paper_14727978_v7_n3-4_p195_Ferraro
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Global optimization Microelectronics Molecular dynamics Silicon Structures (built objects) Conducting materials Generic structural motif Global optimization method Hybrid methodologies Local optimizations Microelectronic technologies Silicon clusters State of the art Structural optimization
spellingShingle	Global optimization Microelectronics Molecular dynamics Silicon Structures (built objects) Conducting materials Generic structural motif Global optimization method Hybrid methodologies Local optimizations Microelectronic technologies Silicon clusters State of the art Structural optimization Ferraro, Marta Beatriz Prediction of structures and related properties of silicon clusters
topic_facet	Global optimization Microelectronics Molecular dynamics Silicon Structures (built objects) Conducting materials Generic structural motif Global optimization method Hybrid methodologies Local optimizations Microelectronic technologies Silicon clusters State of the art Structural optimization
description	Silicon is one of the most important semi conducting materials employed in microelectronic technologies. This chapter is dedicated to review the enormous effort made during the last years to develop confident methods to determinate the geometries and related properties of silicon clusters. Searching employing full global optimization of the energy surface, using techniques like Molecular Dynamics (MD), algorithms, and local optimization of structures built onto generic structural motifs are reported. Hybrid methodologies combining tight-binding (TB) with global optimization methods also contribute to the state of the art in the prediction of the structures, and calculation of properties of silicon clusters, based on all-electron DFT methods are also included. © 2007 IOS Press and the authors.
author	Ferraro, Marta Beatriz
author_facet	Ferraro, Marta Beatriz
author_sort	Ferraro, Marta Beatriz
title	Prediction of structures and related properties of silicon clusters
title_short	Prediction of structures and related properties of silicon clusters
title_full	Prediction of structures and related properties of silicon clusters
title_fullStr	Prediction of structures and related properties of silicon clusters
title_full_unstemmed	Prediction of structures and related properties of silicon clusters
title_sort	prediction of structures and related properties of silicon clusters
publishDate	2007
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14727978_v7_n3-4_p195_Ferraro http://hdl.handle.net/20.500.12110/paper_14727978_v7_n3-4_p195_Ferraro
work_keys_str_mv	AT ferraromartabeatriz predictionofstructuresandrelatedpropertiesofsiliconclusters
_version_	1768542237065478144

Prediction of structures and related properties of silicon clusters

Ejemplares similares