Septian Rahmat Adnan

MODEL DINAMIS NON-IDEAL FERROELECTRIC CAPACITOR PADA SIFAT FERROELEKTRIK MATERIAL ZINC OXIDE (ZnO) DENGAN DOPING LI 1%

Introduction

Model dinamis non-ideal ferroelectric capacitor pada sifat ferroelektrik material zinc oxide (zno) dengan doping li 1%. Model dinamis kapasitor feroelektrik non-ideal untuk memprediksi sifat feroelektrik material Zinc Oxide (ZnO) dengan doping Li 1%, meliputi polarisasi spontan & saturasi serta medan koersif.

Abstract

Sifat ferroelektrik telah sejak lama mendapat perhatian para peneliti karena dapat diaplikasikan pada berbagai bidang teknologi salah satunya adalah pada divais elektronik. Pada perkembangan penelitian ditemukan bahwa adanya fenomena ferroelektrik dari material berbasiskan material Zinc Oxide (ZnO) dengan diberkan doping ataupun bentuk komposit dengan material tambahan seperti BaTiO3. Tujuan dari penelitian ini adalah untuk memodelkan sifat karaktetistik ferroelektrik material Zinc Oxide (ZnO) dengan doping Li 1% yaitu polarisasi spontan (Ps), polarisasi saturasi (Psat) dan medan koersif (Ec) menggunakan model non ideal ferroelectric capacitor yang dijalankan pada program Delphi 7 yang berbasis pascal dan dilajutkan perhitungan R-Weighted pattern (Rwp) untuk mengetahui tingkat perbedaan antara antara hasil pemodelan dan eksperimen. Dari hasil pemodelan didapatkan nilai polarisasi saturasi, polarisasi remanen dan medan koersif menggunakan model Non Ideal Ferroelectric Capasitor mendekati nilai eksperimen yaitu 5 μC/cm2, 3,9 μC/cm2 dan 74,5 kV/cm dengan nilai R- Weigted Pattern 18%. Dari hasil tersebut didapatkan bahwa model non ideal ferroelectric capacitor dapat memprediksi sifat karakteristik ferroelectric dari material Zinc Oxide (ZnO) dengan doping Li 1% dengan cukup baik

Review

This paper presents a computational investigation into the ferroelectric properties of 1% Li-doped Zinc Oxide (ZnO) material using a dynamic non-ideal ferroelectric capacitor model. The authors aim to predict key ferroelectric characteristics, specifically spontaneous polarization (Ps), saturation polarization (Psat), and coercive field (Ec). The modeling was executed within the Delphi 7 environment, which leverages Pascal, and the results were quantitatively validated against experimental data using the R-Weighted Pattern (Rwp) metric. This work is significant given the growing interest in ZnO-based materials for various electronic device applications, where understanding and predicting their ferroelectric behavior is crucial. The methodology employed, utilizing a "non-ideal ferroelectric capacitor model" to simulate polarization and coercive field, is a direct approach to understanding material response. The reported results indicate that the model achieves good agreement with experimental values, yielding Psat, Pr, and Ec values of approximately 5 µC/cm², 3.9 µC/cm², and 74.5 kV/cm, respectively. The R-Weighted Pattern value of 18% suggests a reasonable, though not perfect, fit between the model's predictions and experimental observations. While the abstract states that the model "approaches experimental values," it would benefit from clarifying the source of these experimental values – whether they are from their own prior work, internal unpublished data, or publicly available literature, as this significantly impacts the robustness of the validation. Furthermore, a brief explanation of the "non-ideal" aspects of the model would enhance clarity for readers unfamiliar with the specific nuances of ferroelectric capacitor modeling. Overall, this study provides a valuable contribution to the understanding and predictive modeling of ferroelectric properties in Li-doped ZnO. The demonstrated capability of the non-ideal ferroelectric capacitor model to reasonably predict characteristics like polarization and coercive field opens avenues for accelerating material design and optimization processes. Future work could build upon this by elaborating on the specific parameters and assumptions of the "non-ideal" model, exploring its applicability to other doping concentrations or alternative dopants, and perhaps investigating the underlying physical mechanisms that contribute to the observed non-ideal behavior. Despite minor points for clarification, the work successfully demonstrates the utility of computational modeling in the field of ferroelectric materials science.

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