Investigation and modeling mechanism on capacitance characteristic with electrical measurement to ferroelectric random access memory

Abstract Ferro-elecric random access memory (FeRAM) is considered to be one of the most promising candidates for the next-generation emerging memory. In this study, the electrical measurements, including the capacitance–voltage (C–V), current–voltage (I–V), and polarity-voltage (P-V) characteristics of FeRAM, are investigated and analyzed by using electrical measurements. The demonstration of the butterfly-like C–V curve, primarily contributed to by ferroelectric dipoles, is initially proved through the dielectric displacement current in the current–time (I-t) curves. However, it remains challenging to explain why the C–V curve takes on a butterfly-like profile from theoretical calculations. Therefore, an approach involving secondary scans is adopted for explanation. It is considered that the butterfly-like profile is predominantly influenced by non-ideal dipoles. Furthermore, the response of these dipoles to C–V parameters is also discussed within this investigation. Through these measurements, a more profound comprehension and exploration regarding the C–V characteristics of FeRAM can be achieved, which helps to understand the behavior of FeRAM devices, providing more insights into their electrical characteristics.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2025-03-05
DOI
https://doi.org/10.1088/1402-4896/adbd07
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation and modeling mechanism on capacitance characteristic with electrical measurement to ferroelectric random access memory

Yung‐Fang Tan, Tsung‐Han Yeh, Po‐Hsun Chen
Physica Scripta
Advanced Memory and Neural Computing
article

Investigation and modeling mechanism on capacitance characteristic with electrical measurement to ferroelectric random access memory

Yung‐Fang Tan, Tsung‐Han Yeh, Po‐Hsun Chen
article en

Abstract

Abstract Ferro-elecric random access memory (FeRAM) is considered to be one of the most promising candidates for the next-generation emerging memory. In this study, the electrical measurements, including the capacitance–voltage (C–V), current–voltage (I–V), and polarity-voltage (P-V) characteristics of FeRAM, are investigated and analyzed by using electrical measurements. The demonstration of the butterfly-like C–V curve, primarily contributed to by ferroelectric dipoles, is initially proved through the dielectric displacement current in the current–time (I-t) curves. However, it remains challenging to explain why the C–V curve takes on a butterfly-like profile from theoretical calculations. Therefore, an approach involving secondary scans is adopted for explanation. It is considered that the butterfly-like profile is predominantly influenced by non-ideal dipoles. Furthermore, the response of these dipoles to C–V parameters is also discussed within this investigation. Through these measurements, a more profound comprehension and exploration regarding the C–V characteristics of FeRAM can be achieved, which helps to understand the behavior of FeRAM devices, providing more insights into their electrical characteristics.

Physica ScriptaVol. 100(4)
National Sun Yat-sen University (TW), National Defense University (TW), I-Shou University (TW)
National Science and Technology Council
Affordable and clean energy
Openalex Percentile: Top 97%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.