Operation Regimes and Design Principles of Delta‐E Effect Sensors

ABSTRACT Delta‐E effect‐based magnetoelectric sensors have emerged as promising technology for detecting weak magnetic fields at low frequencies. However, the performance of such sensors remains difficult to predict, as signal and noise characteristics are dictated by interdependent parameters such as magnetic layer geometry, magnetic microstructure, and loss. In this work, we present a systematic experimental study of sub‐mm‐sized delta‐E effect sensors, comprising 24 device configurations that vary in magnetic layer thickness and lateral dimensions. The sensors are statistically analyzed to identify the influence of magnetic layer geometry on performance through a combination of measurements and simulations. Our findings reveal three distinct operation regimes—dominated by electronic noise, magnetic noise, and nonlinearities—whose boundaries shift systematically with magnetic layer thickness. This regime behavior governs the trade‐offs between sensitivity and noise, ultimately determining the sensor's limit of detection. Based on these results, the dependency of the regime boundaries on key device parameters is discussed in detail, providing fundamental insights for tailoring sensor performance. As such, this study establishes a necessary foundation for targeted performance optimization and the scalable design of advanced delta‐E effect sensor systems.

Authors

Institutions

Publication Details

Journal
Advanced Sensor Research
Published
2026-04-01
DOI
https://doi.org/10.1002/adsr.202500175
Primary Topic
Multiferroics and related materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Operation Regimes and Design Principles of Delta‐E Effect Sensors

Jeffrey D. McCord, Patrick Wiegand, Benjamin Spetzler, Robert Rieger et al.
Advanced Sensor Research
Multiferroics and related materials
article

Operation Regimes and Design Principles of Delta‐E Effect Sensors

Jeffrey D. McCord, Patrick Wiegand, Benjamin Spetzler, Robert Rieger, Fatih Ilgaz, Elizaveta Spetzler
article en

Abstract

ABSTRACT Delta‐E effect‐based magnetoelectric sensors have emerged as promising technology for detecting weak magnetic fields at low frequencies. However, the performance of such sensors remains difficult to predict, as signal and noise characteristics are dictated by interdependent parameters such as magnetic layer geometry, magnetic microstructure, and loss. In this work, we present a systematic experimental study of sub‐mm‐sized delta‐E effect sensors, comprising 24 device configurations that vary in magnetic layer thickness and lateral dimensions. The sensors are statistically analyzed to identify the influence of magnetic layer geometry on performance through a combination of measurements and simulations. Our findings reveal three distinct operation regimes—dominated by electronic noise, magnetic noise, and nonlinearities—whose boundaries shift systematically with magnetic layer thickness. This regime behavior governs the trade‐offs between sensitivity and noise, ultimately determining the sensor's limit of detection. Based on these results, the dependency of the regime boundaries on key device parameters is discussed in detail, providing fundamental insights for tailoring sensor performance. As such, this study establishes a necessary foundation for targeted performance optimization and the scalable design of advanced delta‐E effect sensor systems.

Advanced Sensor ResearchVol. 5(4)
Hochschule für Angewandte Wissenschaften Kiel (DE), Christian-Albrechts-Universität zu Kiel (DE), Clinical Research Center Kiel (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 38%
Multiferroics and related materials
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.