MARATTO

article

Optimization of LiNbO3 based surface acoustic wave (SAW) device substrates by magnesium and titanium doping

Abstract

Lithium niobate (LiNbO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">₃</inf>, or LN) is a versatile material widely used in the development of acoustic devices. This study examines the effects of titanium (Ti⁴⁺) and magnesium (Mg<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>⁺) doping on the Curie temperature (Tc) and inverse quality factor (Q⁻¹) of LiNbO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">₃</inf>. Using a modelling approach based on ferroelectric phase transition theory, we investigated how varying impurity concentrations influence Tc and Q⁻¹. Our simulations show that at low doping levels, Mg<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>⁺ increases both Tc and Q⁻¹ up to a critical threshold of approximately 3.4%, beyond which Q⁻¹ begins to decrease. Conversely, Ti⁴⁺ doping causes a gradual decrease in Tc and Q⁻¹ as the concentration increases, resulting in an improvement in the quality factor (Q). These results highlight the importance of choosing the type of dopant according to thermal conditions: Ti⁴⁺-doped LiNbO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">₃</inf> is more suitable for moderate temperatures, while Mg<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>⁺-doped LiNbO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">₃</inf> is preferable for high-temperature environments, particularly when used as a substrate in surface acoustic wave (SAW) resonators.

Research topics

  • Acoustic Wave Resonator Technologies
  • Photorefractive and Nonlinear Optics
  • Ferroelectric and Piezoelectric Materials

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1109/icesa66763.2025.11281240

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.