Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)

Deformation Perception of Germanium Based on Finite Element Force-Electric Coupling Field Simulation

Authors
Heng Liang1, *
1School of Physics and Astronomy, Sun Yat-Sen University, Zhuhai, 519000, China
*Corresponding author. Email: liangh78@mail2.sysu.edu.cn
Corresponding Author
Heng Liang
Available Online 28 September 2024.
DOI
10.2991/978-94-6463-518-8_24How to use a DOI?
Keywords
Germanium; Coupling Field Simulation; Multilayer Perception
Abstract

This study delves into the deformation perception of germanium through finite element force-electric coupling field simulation within the evolving domain of modern materials science and engineering. As germanium is pivotal in electronics and optoelectronics due to its distinct mechanical and electrical properties, understanding its behavior under mechanical and electrical stimuli is crucial for developing advanced sensors, actuators, and smart materials. Utilizing COMSOL Multiphysics software, this research simulates the deformation of germanium under varied mechanical forces and a constant electric field. The primary method employed is the coupled-field simulation (CFS), enhancing our comprehension of the interactions between mechanical loads and electric fields within solids. Additionally, this investigation incorporates a multilayer perceptron (MLP) to predict germanium’s deformation extent based on changes in potential distribution, thereby demonstrating the synergy between finite element simulation and machine learning. The findings reveal that the MLP model can successfully predict the deformation extent, thereby underscoring the utility of integrating machine learning with traditional simulation techniques. This research not only advances our understanding of germanium’s mechanical and electrical behavior but also showcases the potential of machine learning in enhancing material sensing capabilities, which could propel the development of innovative materials and devices with superior sensory and actuation functions.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
Series
Advances in Engineering Research
Publication Date
28 September 2024
ISBN
978-94-6463-518-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-518-8_24How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Heng Liang
PY  - 2024
DA  - 2024/09/28
TI  - Deformation Perception of Germanium Based on Finite Element Force-Electric Coupling Field Simulation
BT  - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
PB  - Atlantis Press
SP  - 235
EP  - 246
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-518-8_24
DO  - 10.2991/978-94-6463-518-8_24
ID  - Liang2024
ER  -