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Spin-active color centers are the basis of solid-state defect systems utilized in quantum technologies. Although silicon is an emerging host material for quantum defects, there is an urgent need to characterize color centers with a non-zero…

Materials Science · Physics 2026-04-29 Péter Udvarhelyi

Multipole moments are the first order responses of the energy to spatial derivatives of the electric field strength. The quality of density functional theory (DFT) prediction of molecular multipole moments thus characterizes errors in…

Chemical Physics · Physics 2021-02-23 Diptarka Hait , Yu Hsuan Liang , Martin Head-Gordon

We investigate the behavior of oxygen vacancies in three different metal-oxide semiconductors (rutile and anatase TiO2, monoclinic WO3, and tetragonal ZrO2) using a recently proposed hybrid density-functional method in which the fraction of…

Density functional theory (DFT) is used to rationalize magnetic parameters of hydrated electron trapped in alkaline glasses as observed using Electron Paramagnetic Resonance (EPR) and Electron Spin Echo Envelope Modulation (ESEEM)…

General Physics · Physics 2016-09-28 I. A. Shkrob

We present a first-principles study of the structural, electronic, and optical properties of hydrogenated amorphous silicon (a-Si:H). To this end, atomic configurations of a-Si:H with 72 and 576 atoms respectively are generated using…

Materials Science · Physics 2017-03-31 Philippe Czaja , Urs Aeberhard , Massimo Celino , Simone Giusepponi , Michele Gusso

The buffer carbon layer obtained in the first instance by evaporation of Si from the Si-rich surfaces of silicon carbide (SiC) is often studied only as the intermediate to the synthesis of SiC supported graphene. In this work, we explore…

Mesoscale and Nanoscale Physics · Physics 2018-07-31 Tommaso Cavallucci , Valentina Tozzini

DFT is a valuable tool for calculating adsorption energies toward designing materials for hydrogen storage. However, dispersion forces being absent from the theory, it remains unclear how the consideration of van der Waals (vdW)…

Chemical Physics · Physics 2021-09-16 Genki I. Prayogo , Hyeondeok Shin , Anouar Benali , Ryo Maezono , Kenta Hongo

Delocalization errors, such as charge-transfer and some self-interaction errors, plague computationally-efficient and otherwise-accurate density functional approximations (DFAs). Evaluating a semi-local DFA non-self-consistently on the…

Chemical Physics · Physics 2023-01-02 Aaron D. Kaplan , Chandra Shahi , Pradeep Bhetwal , Raj K. Sah , John P. Perdew

We identify the exact microscopic structure of the G photoluminescence center in silicon by first principles calculations with including a self-consistent many-body perturbation method, which is a telecommunication wavelength single photon…

Quantum Physics · Physics 2021-11-17 Péter Udvarhelyi , Bálint Somogyi , Gergő Thiering , Adam Gali

We use computationally simple neutral pseudo-atom (`average atom') one-center density functional theory (DFT) and standard N-center DFT-Molecular Dynamics simulations to elucidate liquid-liquid phase transitions (LPTs) in supercooled liquid…

Materials Science · Physics 2020-07-21 M. W. C. Dharma-wardana , Dennis D. Klug , Richard C. Remsing

Density functional theory (DFT) provides a theoretical framework for efficient and fairly accurate calculations of the electronic structure of molecules and crystals. The main features of density functional theory are described and DFT…

Chemical Physics · Physics 2012-06-12 Hauke Paulsen , Alfred Xaver Trautwein

Density Functional Theory (DFT) calculations, within the virtual crystal alloy approximation, are performed, along with the development of a Landau-type model employing a symmetry-allowed analytical expression of the internal energy and…

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

The formation of hydrogen-like muonium (Mu) has been studied as a function of implantation energy in intrinsic Si, thin films of condensed van der Waals gases (N2, Ne, Ar, Xe), fused and crystalline quartz and sapphire. By varying the…

Other Condensed Matter · Physics 2009-11-13 T. Prokscha , E. Morenzoni , D. G. Eshchenko , N. Garifianov , H. Glueckler , R. Khasanov , H. Luetkens , A. Suter

We decompose the energy error of any variational DFT calculation into a contribution due to the approximate functional and that due to the approximate density. Typically, the functional error dominates, but in many interesting situations,…

Chemical Physics · Physics 2015-06-12 Min-Cheol Kim , Eunji Sim , Kieron Burke

A class of highly symmetric silicon carbide fullerene-like cage nanoclusters with carbon atoms inside the Si_20 cage and with high stability are presented. The Generalized Gradient Approximation of Density Functional Theory (GGA-DFT) is…

Condensed Matter · Physics 2007-05-23 M. N. Huda , A. K. Ray

We have used tight-binding molecular-dynamics simulations to investigate the role of point defects (vacancies and interstitials) on structural relaxation in amorphous silicon. Our calculations give unambiguous evidence that point defects…

Materials Science · Physics 2007-05-23 Cristiano L. Dias , Laurent J. Lewis , S. Roorda

The structural, cohesive, electronic and optical properties of mixed SiGe:H quantum dots are studied by Density Functional Theory (DFT) calculations on a representative ensemble of medium size nanoparticles of the form…

Materials Science · Physics 2007-10-02 C. S. Garoufalis

Solution-processed amorphous silicon is a promising material for semiconductor devices. Unfortunately, its manufacturing leaves a high density of defects in the layer, which can be reduced by a treatment with hydrogen radicals. Here, we…

Materials design has traditionally evolved through trial-error approaches, mainly due to the non-local relationship between microstructures and properties such as strength and toughness. We propose 'alloy informatics' as a machine learning…

Materials Science · Physics 2025-04-08 Dario Massa , Efthimios Kaxiras , Stefanos Papanikolaou