Wilhelmer Christoph, Waldhoer Dominic, Cvitkovich Lukas, Milardovich Diego, Waltl Michael, Grasser Tibor
Christian Doppler Laboratory for Single-Defect Spectroscopy in Semiconductor Devices, Institute for Microelectronics, TU Wien, 1040 Wien, Austria.
Institute for Microelectronics, TU Wien, Gusshausstrasse 27-29, 1040 Wien, Austria.
Nanomaterials (Basel). 2023 Aug 9;13(16):2286. doi: 10.3390/nano13162286.
Silicon nitride films are widely used as the charge storage layer of charge trap flash (CTF) devices due to their high charge trap densities. The nature of the charge trapping sites in these materials responsible for the memory effect in CTF devices is still unclear. Most prominently, the Si dangling bond or -center has been identified as an amphoteric trap center. Nevertheless, experiments have shown that these dangling bonds only make up a small portion of the total density of electrical active defects, motivating the search for other charge trapping sites. Here, we use a machine-learned force field to create model structures of amorphous Si3N4 by simulating a melt-and-quench procedure with a molecular dynamics algorithm. Subsequently, we employ density functional theory in conjunction with a hybrid functional to investigate the structural properties and electronic states of our model structures. We show that electrons and holes can localize near over- and under-coordinated atoms, thereby introducing defect states in the band gap after structural relaxation. We analyze these trapping sites within a nonradiative multi-phonon model by calculating relaxation energies and thermodynamic charge transition levels. The resulting defect parameters are used to model the potential energy curves of the defect systems in different charge states and to extract the classical energy barrier for charge transfer. The high energy barriers for charge emission compared to the vanishing barriers for charge capture at the defect sites show that intrinsic electron traps can contribute to the memory effect in charge trap flash devices.
由于氮化硅薄膜具有高电荷俘获密度,因此被广泛用作电荷陷阱闪存(CTF)器件的电荷存储层。这些材料中负责CTF器件记忆效应的电荷俘获位点的性质仍不清楚。最突出的是,硅悬空键或硅中心已被确定为两性陷阱中心。然而,实验表明,这些悬空键仅占电活性缺陷总密度的一小部分,这促使人们寻找其他电荷俘获位点。在这里,我们使用机器学习力场,通过分子动力学算法模拟熔体淬火过程来创建非晶态Si3N4的模型结构。随后,我们结合密度泛函理论和杂化泛函来研究模型结构的结构性质和电子态。我们表明,电子和空穴可以在配位过多和过少的原子附近局域化,从而在结构弛豫后在带隙中引入缺陷态。我们通过计算弛豫能和热力学电荷转移能级,在非辐射多声子模型中分析这些俘获位点。所得的缺陷参数用于模拟不同电荷态下缺陷系统的势能曲线,并提取电荷转移的经典能垒。与缺陷位点处电荷俘获的消失能垒相比,电荷发射的高能垒表明本征电子陷阱可以对电荷陷阱闪存器件中的记忆效应做出贡献。