Neural ordinary differential equations for predicting the temporal dynamics of a ZnO solid electrolyte FET

• Published in: Journal of materials chemistry. C, Materials for optical and electronic devices Vol. 13; no. 6; pp. 284 - 2813
• Main Authors: Gaurav, Ankit, Song, Xiaoyao, Manhas, Sanjeev Kumar, De Souza, Maria Merlyne
• Format: Journal Article
• Language: English
• Published: Cambridge Royal Society of Chemistry 06.02.2025
• Subjects: Co-design; Complex systems; Continuous time systems; Data processing; Differential equations; Electrolytes; Errors; Machine learning; Material properties; Ordinary differential equations; Pulse duration; Real time; Software; Solid electrolytes; Steady state models; Zinc oxide

Efficient storage and processing are essential for temporal data processing applications to make informed decisions, especially when handling large volumes of real-time data. Physical reservoir computing provides effective solutions to this problem, making them ideal for edge systems. These devices...