Publications

Energy Materials Laboratory

Publications

Unveiling ECRAM switching mechanisms using variable temperature Hall measurements for accelerated AI computation
Authors
Hyunjeong Kwak, Junyoung Choi, Seungmin Han, Eun Ho Kim, Chaeyoun Kim, Paul Solomon, Junyong Lee, Doyoon Kim, Byungha Shin, Donghwa Lee, Oki Gunawan, Seyoung Kim
Journal
Nature Communications
Vol
16
Page
2715
Year
2025

Electrochemical random-access memory devices are promising for analog cross-point array-based artificial intelligence accelerators due to their high stability and programmability. However, understanding their switching mechanism is challenging due to complex multilayer structures and the high resistivity of oxide materials. Here, we fabricate multi-terminal Hall-bar devices and conduct alternating current magnetic parallel dipole line Hall measurements to extract transport parameters. Through variable-temperature Hall measurements, we determine the oxygen donor level at approximately 0.1 eV in tungsten oxide and reveal that conductance potentiation even at low temperatures results from increased mobility and carrier density. This behavior is linked to reversible electronic and atomic structure changes, supported by density functional theory calculations. Our findings enhance the understanding of electrochemical random-access memory switching mechanisms and provide insights for improving high-performance, energy-efficient artificial intelligence computation in analog hardware.