2020
DOI: 10.1002/pssr.202000490
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Tetrahedral Complexity in Amorphous Networks: A Possible Clue for the Unique Properties of Phase‐Change Materials

Abstract: A typical binary amorphous telluride GeTe2 is investigated from first‐principles molecular dynamics simulations. After a comparison with chemical analogs from neutron or X‐ray diffraction experiments, such as GeO2 or GeSe2, the structure of this material is studied by examining real and reciprocal space properties. It is found that the base geometrical motifs of the germanium atom can be either in tetrahedral or in defected coordinations involving pyramidal units. A review of previous results for other composi… Show more

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Cited by 5 publications
(9 citation statements)
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“…An increased occurrence of these intermediate geometries is accompanied by a decreased extent of resistance drift. [67] Thus, the increase in intermediate (PD-like) geometries observed here is in line with the observation of resistance drift observed in experiments. [11,12] An additional observation is that the main contribution is best described by an effective potential minimum at 𝜃 1 ≈ 103.2°t hat shifts toward larger angles upon structural relaxation (cf.…”
Section: Bond Angle Distributionsupporting
confidence: 91%
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“…An increased occurrence of these intermediate geometries is accompanied by a decreased extent of resistance drift. [67] Thus, the increase in intermediate (PD-like) geometries observed here is in line with the observation of resistance drift observed in experiments. [11,12] An additional observation is that the main contribution is best described by an effective potential minimum at 𝜃 1 ≈ 103.2°t hat shifts toward larger angles upon structural relaxation (cf.…”
Section: Bond Angle Distributionsupporting
confidence: 91%
“…Further analysis of the Ge motifs is accomplished by computing the Te‐Ge‐Te bond angle distribution (BAD) for each RMC simulation run (four per annealing state). To reveal minor shifts in the BADs of different annealing states each BAD can be fitted to a Boltzmann probability distribution based on effective bond angle potentials Uefffalse(ifalse)(θ)$U_{\text{eff}}^{(i)}(\theta )$ [ 66,67 ] : P(cosθ)expbadbreak−Uefffalse(ifalse)(θ)/kBT$$\begin{align} P(\cos \theta )&\propto \exp {\left(-U_{\text{eff}}^{(i)}(\theta )/k_{\text{B}}T\right)}\end{align}$$ Ueff(i)false(θfalse)=k2(i)2()θθi2$$\begin{align} U_{\text{eff}}^{(i)}(\theta )&=\dfrac{k_2^{(i)}}{2}{\left(\theta -\theta _i\right)}^2 \end{align}$$where the Boltzmann constant is denoted by k B and T is the temperature fixed at 300 K. θ i is the effective potential minimum and k2(i)$k_2^{(i)}$ the corresponding rigidity parameter, which gives a measure for the tolerance of a bond angle to deviate from the potential minimum. Thus, a large rigidity suggests that the tolerance is small and most motifs in the systems possess angles close to the mean value θ i .…”
Section: Resultsmentioning
confidence: 99%
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“…The equilibrated trajectories of similar compositions have led to an excellent agreement of measured structure functions from neutron and X-ray scattering in the liquid and amorphous state 25,28,29 (Figure 2). The same strategy has been employed for GST225, 5 and the resulting structure at 300 K used for the present purpose was obtained from four independent quenches, starting from equilibrated configurations analyzed previously in the liquid state, and, again, successfully compared to experiments.…”
Section: Simulation Detailsmentioning
confidence: 65%