Conductive bridging random access memories (CBRAM) are emerging non-volatile data storage devices whose switching mechanisms are not fully understood. Here, we present a modelling framework based on ab-initio simulations to investigate CBRAM cells. It combines density-functional theory and the Non-equilibrium Greens Function formalism. Realistic metallic filaments connecting two electrodes are constructed and their ballistic transport characteristics studied. For a given filament the type of counter electrode material has little influence on the magnitude of the ON-state current, but affects its spatial distribution. The conductance mainly depends on the material of the active electrode and the shape of the thinnest part of the filament
International audienceIntroduction: Conductive-Bridge Random-Access memory (CBRAM) is a promising te...
In this work we investigate the origin of the resistance variability for the low resistive state in ...
The global datasphere is predicted to grow from 33 zettabytes (ZB) in 2018 to 175 ZB by 2025. Ever i...
We present atomistic simulations of conductive bridging random access memory (CBRAM) cells from firs...
International audienceIn this paper, we investigate the link between various resistive memory (RRAM)...
International audienceIn this paper, we investigate the link between various resistive memory (RRAM)...
Following the emergence of novel classes of atomic systems with amorphous active regions, device sim...
International audienceIn this paper, we investigate the link between various resistive memory (RRAM)...
Thesis (Ph.D.)--University of Washington, 2020In this thesis, resistive switching properties of resi...
A physics-based compact model is developed to capture the essential resistive switching behaviors of...
International audienceIn this paper, we investigate in depth Forming, SET, and Retention of conducti...
International audienceIn this paper, we investigate in depth Forming, SET, and Retention of conducti...
International audienceIn this paper, we investigate in depth Forming, SET, and Retention of conducti...
International audienceIn this paper, we investigate in depth Forming, SET, and Retention of conducti...
This study investigates a low degradation metal-ion conductive bridge RAM (CBRAM) structure. The str...
International audienceIntroduction: Conductive-Bridge Random-Access memory (CBRAM) is a promising te...
In this work we investigate the origin of the resistance variability for the low resistive state in ...
The global datasphere is predicted to grow from 33 zettabytes (ZB) in 2018 to 175 ZB by 2025. Ever i...
We present atomistic simulations of conductive bridging random access memory (CBRAM) cells from firs...
International audienceIn this paper, we investigate the link between various resistive memory (RRAM)...
International audienceIn this paper, we investigate the link between various resistive memory (RRAM)...
Following the emergence of novel classes of atomic systems with amorphous active regions, device sim...
International audienceIn this paper, we investigate the link between various resistive memory (RRAM)...
Thesis (Ph.D.)--University of Washington, 2020In this thesis, resistive switching properties of resi...
A physics-based compact model is developed to capture the essential resistive switching behaviors of...
International audienceIn this paper, we investigate in depth Forming, SET, and Retention of conducti...
International audienceIn this paper, we investigate in depth Forming, SET, and Retention of conducti...
International audienceIn this paper, we investigate in depth Forming, SET, and Retention of conducti...
International audienceIn this paper, we investigate in depth Forming, SET, and Retention of conducti...
This study investigates a low degradation metal-ion conductive bridge RAM (CBRAM) structure. The str...
International audienceIntroduction: Conductive-Bridge Random-Access memory (CBRAM) is a promising te...
In this work we investigate the origin of the resistance variability for the low resistive state in ...
The global datasphere is predicted to grow from 33 zettabytes (ZB) in 2018 to 175 ZB by 2025. Ever i...