@article{Yu2026, 
author = {Taoyuan Yu and Le Zhou and Erxiang Xu and Ce-Wen Nan and Yang Shen},
title = {An analytical model for flexible piezo-capacitive sensors with point-like patterned contacts},
year = {2026},
journal = {Journal of Materiomics},
volume = {12},
number = {4},
keywords = {Finite element analysis, Theoretical model, Symbolic regression, Flexible piezo-capacitive sensors, Pyramid electrodes},
url = {https://www.sciopen.com/article/10.1016/j.jmat.2026.101225},
doi = {10.1016/j.jmat.2026.101225},
abstract = {Flexible capacitive pressure sensors with patterned microstructures have attracted ever-increasing attention in the field of wearable electronics. However, there is still a lack of a reliable method for predicting the performance of flexible piezo-capacitive sensors, leading to difficulty for designing and evaluating microstructures. In this paper, we establish an analytical method for designing flexible capacitive sensors with point-like electrical field concentration and further derive an accurate expression for pyramid electrodes by combining high throughput finite element simulations with machine learning. Besides, we have designed and fabricated a high-performance pressure sensor with the simulation and analysis based on our model. A thin high-k dielectric layer with rough surface is selected as the dielectric layer, yielding a high sensitivity of 0.031 kPa−1 to 0.115 kPa−1 in an ultra-wide pressure range from 3.4 Pa to 2.5 MPa.}
}