3 papers
cs.ET2025
Reverse Designing Ferroelectric Capacitors with Machine Learning-based Compact Modeling
Diego Ferrer, Jack Hutchins, Revanth Koduru +2
Machine learning-based compact models provide a rapid and efficient approach for estimating device behavior across multiple input parameter variations. In this study, we introduce…
cond-mat.mtrl-sci2025
Thickness Dependence of Coercive Field in Ferroelectric Doped-Hafnium Oxide
Revanth Koduru, Sumeet Kumar Gupta
Ferroelectric hafnium oxide () exhibits a thickness-dependent coercive field behavior that deviates from the trends observed in perovskites and the predictions of…
physics.app-ph2025
Experimental Investigation of Variations in Polycrystalline Hf0.5Zr0.5O2 (HZO)-based MFIM
Tae Ryong Kim, Revanth Koduru, Zehao Lin +2
Device-to-device variations in ferroelectric (FE) hafnium oxide (HfO2)-based devices pose a crucial challenge that limits the otherwise promising capabilities of this technology. A…