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Related papers: Understanding defects in amorphous silicon with mi…

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Using a combination of quantum and classical computational approaches, we model the electronic structure in amorphous silicon in order gain understanding of the microscopic atomic configurations responsible for light induced degradation of…

Materials Science · Physics 2009-11-13 Lucas K. Wagner , Jeffrey C. Grossman

We present new atomistic models of amorphous silicon (a-Si) and hydrogenated amorphous silicon (a-Si:H) surfaces. The a-Si model included 4096 atoms and was obtained using local orbital density functional theory. By analyzing a slab model…

Materials Science · Physics 2025-06-24 Kishor Nepal , Aashish Gautam , Chinonso Ugwumadu , David Drabold

We present here potential dependent mechanical properties of amorphous silicon studied through molecular dynamics (MD) at low temperature. On average, the localization of elementary plastic events and the co-ordination defect-sites appears…

Disordered Systems and Neural Networks · Physics 2011-10-19 Mina Talati , Tristan Albaret , Anne Tanguy

Defects in crystalline silicon consisting of a silicon self-interstitial atom and one, two, three, or four hydrogen atoms are studied within density-functional theory (DFT). We search for low-energy defects by starting from an ensemble of…

Materials Science · Physics 2010-02-11 Andrew J. Morris , Chris J. Pickard , R. J. Needs

Due to their technological importance, point defects in silicon are among the best studied physical systems. The experimental examination of point defects buried in bulk is difficult and evidence for the various defects usually indirect.…

Materials Science · Physics 2009-11-07 Stefan Goedecker , Luc Billard , Thierry Deutsch

Determining the stability of molecules and condensed phases is the cornerstone of atomistic modelling, underpinning our understanding of chemical and materials properties and transformations. Here we show that a machine learning model,…

Silicon-oxygen compounds are among the most important ones in the natural sciences, occurring as building blocks in minerals and being used in semiconductors and catalysis. Beyond the well known silicon dioxide, there are phases with…

Materials Science · Physics 2025-04-16 Linus C. Erhard , Jochen Rohrer , Karsten Albe , Volker L. Deringer

Quantum effects on the atom delocalization in amorphous silicon have been studied by path-integral Monte Carlo simulations from 30 to 800 K. The quantum delocalization is appreciable vs. topological disorder, as seen from structural…

Disordered Systems and Neural Networks · Physics 2009-10-31 Carlos P. Herrero

Amorphous silicon nitride (a-SiN) is a material which has found wide application due to its excellent mechanical and electrical properties. Despite the significant effort devoted in understanding how the microscopic structure influences the…

Rings comprising chemically bonded atoms are essential topological motifs for the structural ordering of network-forming materials. Quantification of such larger motifs beyond short-range pair correlation is essential for understanding the…

Materials Science · Physics 2023-11-15 Motoki Shiga , Akihiko Hirata , Yohei Onodera , Hirokazu Masai

Several amorphous silicon structures were generated using a classical molecular dynamics (MD) protocol of melting and quenching with different quenching rates. An analysis of the calculated electronic properties of these structures revealed…

Materials Science · Physics 2020-12-23 Reza Vatan Meidanshahi , Payam Mehr , Stephan Marshal Goodnick

Recent theoretical studies of amorphous silicon [Y. Pan et al. Phys. Rev. Lett. 100 206403 (2008)] have revealed subtle but significant structural correlations in network topology: the tendency for short (long) bonds to be spatially…

Disordered Systems and Neural Networks · Physics 2015-05-13 F. Inam , James P. Lewis , D. A. Drabold

Understanding the mechanical properties of solid-state materials at the atomic scale is crucial for developing novel materials. For example, amorphous LiSi alloys are attractive anode materials for solid-state Li-ion batteries but face…

Disordered Systems and Neural Networks · Physics 2024-02-15 Zixiong Wei , Nongnuch Artrith

We present a computational study of the electronic properties of amorphous SiO2. The ionic configurations used are the ones generated by an earlier molecular dynamics simulations in which the system was cooled with different cooling rates…

Disordered Systems and Neural Networks · Physics 2009-10-30 Thorsten Koslowski , Walter Kob , Katharina Vollmayr

Atomic level qubits in silicon are attractive candidates for large-scale quantum computing, however, their quantum properties and controllability are sensitive to details such as the number of donor atoms comprising a qubit and their…

Mesoscale and Nanoscale Physics · Physics 2020-03-17 Muhammad Usman , Yi Z. Wong , Charles D. Hill , Lloyd C. L. Hollenberg

Point defects are ubiquitous in solid-state compounds, dictating many functional properties such as conductivity, catalytic activity and carrier recombination. Over the past decade, the prevalence of metastable defect geometries and their…

Materials Science · Physics 2025-07-08 Seán R. Kavanagh

Recent advances in scanning transmission electron and scanning tunneling microscopies allow researchers to measure materials structural and electronic properties, such as atomic displacements and charge density modulations, at an Angstrom…

Defects dictate the properties of many functional materials. To understand the behaviour of defects and their impact on physical properties, it is necessary to identify the most stable defect geometries. However, global structure searching…

Materials Science · Physics 2024-06-12 Irea Mosquera-Lois , Seán R. Kavanagh , Alex M. Ganose , Aron Walsh

Understanding the structural origins of the properties of amorphous materials remains one of the most important challenges in structural science. In this study we demonstrate that local 'structural simplicity', embodied by the degree to…

Amorphous carbon (a-C) materials have diverse interesting and useful properties, but the understanding of their atomic-scale structures is still incomplete. Here, we report on extensive atomistic simulations of the deposition and growth of…

Materials Science · Physics 2020-11-05 Miguel A. Caro , Gábor Csányi , Tomi Laurila , Volker L. Deringer