Abstract
The optical contrast in a phase change material is concomitant with its structural transition. These two are connected by first recognizing that Friedel oscillations couple electrons propagating in opposite directions and supply an additional Coulomb energy. As the crystal switches phase, this energy acquires time dependence and the Landau-Zener mechanism operates, steering population transfer from the valence to the conduction band and vice versa. Spectroscopy suggests that the oscillator energy E0 dominates the optical properties and a calculation involving the crystalline field and spin–orbit interaction yields good estimates for E0 of both structural phases. Further analysis relates the optical gap with the crystalline-field energy as well as activation energy for electrical conduction. This last property characterizes the amorphous phase, thereby furnishing a link between the crystalline field and the activation energy and ultimately with the resistance drift exponent. Providing optical means to quantify resistance drift in phase-change materials (PCMs) could circumvent the need for fabricating expensive devices and performing time consuming measurements.
Original language | English |
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Article number | 2000117 |
Journal | Advanced Theory and Simulations |
Volume | 3 |
Issue number | 10 |
DOIs | |
Publication status | Published - 1 Oct 2020 |
Bibliographical note
Funding Information:The authors gratefully acknowledge support from the Singapore Ministry of Education (project number MoE 2017‐T2‐1‐161). This work was conducted under the auspices of the SUTD‐MIT International Design Center (IDC).
Funding Information:
The authors gratefully acknowledge support from the Singapore Ministry of Education (project number MoE 2017-T2-1-161). This work was conducted under the auspices of the SUTD-MIT International Design Center (IDC).
Publisher Copyright:
© 2020 Wiley-VCH GmbH
Keywords
- dielectric function
- optical bandgap
- optical contrast
- phase change
- phase-change materials
- resistance drift
ASJC Scopus subject areas
- Statistics and Probability
- Numerical Analysis
- Modelling and Simulation
- General