Electroforming Kinetics in HfOx/Ti RRAM: Mechanisms Behind Compositional and Thermal Engineering
Manasa Kaniselvan, Kevin Portner, Donato Francesco Falcone, Valeria Bragaglia, Jente Clarysse, Laura B\'egon-Lours, Marko Mladenovi\'c, Bert J. Offrein, Mathieu Luisier

TL;DR
This study combines atomistic simulations and experimental data to elucidate the mechanisms of electroforming in HfOx/Ti RRAM, revealing how compositional and thermal factors influence filament growth and device performance.
Contribution
It introduces a multiscale simulation approach to understand filament formation mechanisms, linking atomistic defect dynamics with experimental trends in HfOx/Ti RRAM.
Findings
Transition from vertical to lateral ion movement in filament growth
Global and local heating influence filament morphology
Simulation results align with experimental data trends
Abstract
A critical issue affecting filamentary resistive random access memory (RRAM) cells is the requirement of high voltages during electroforming. Reducing the magnitude of these voltages is of significant interest, as it ensures compatibility with Complementary Metal-Oxide-Semiconductor (CMOS) technologies. Previous studies have identified that changing the initial stoichiometry of the switching layer and/or implementing thermal engineering approaches has an influence over the electroforming voltage magnitude, but the exact mechanisms remain unclear. Here, we develop an understanding of how these mechanisms work within a standard a-HfO/Ti RRAM stack through combining atomistic driven-Kinetic Monte Carlo (d-KMC) simulations with experimental data. By performing device-scale simulations at atomistic resolution, we can precisely model the movements of point defects under applied biases in…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Machine Learning in Materials Science
