While mixed ionic-electronic conductors with metal-insulator transition (MIT) are promising candidates for designing neuromorphic computing hardware, the fundamentals of resistive switching in these materials are yet to be well understood. This work studies the switching mechanism of the three-terminal nonvolatile redox transistor (NVRT) containing the LiCoO2 (LCO) channel layer with tunable preferred crystallographic orientation. We used atomic force microscope nanotomography to reconstruct the 3D conductance map of NVRTs, that reveals the applied gate electric-field induces the MIT via reversible phase separation in the LCO channel layer, with the nonequilibrium thermodynamics analytical model providing validation to this mechanism. By op...
Nanoionic device-based artificial neural networks that consume little power and hold a potential for...
The possibility of neuro-inspired computing with eNVMs has increased drastically within the last dec...
Resistive random-access memories, also known as memristors, whose resistance can be modulated by the...
International audienceThe phenomenon of resistive switching (RS), which was initially linked to non-...
Memristive devices are attracting a great attention for memory, logic, neural networks, and sensing ...
Memory devices based on resistive switching (RS) have not been fully realised due to lack of underst...
Memristive devices are attracting a great attention for memory, logic, neural networks, and sensing...
Nonvolatile resistive-switching (RS) memories promise to revolutionize hardware architectures with i...
Synapse, a combination of memory and information processing units, is the ultimate goal to emulate f...
Memristive devices with analog resistive switching characteristics are widely investigated nowadays ...
International audienceInterface-type oxide-based valence-change memories (VCMs) with analog switchin...
We measured and analyzed the dynamic and remnant current-voltages curves of Al/TiO2/Au and Ni/TiO2/N...
Nanoionic device-based artificial neural networks that consume little power and hold a potential for...
The possibility of neuro-inspired computing with eNVMs has increased drastically within the last dec...
Resistive random-access memories, also known as memristors, whose resistance can be modulated by the...
International audienceThe phenomenon of resistive switching (RS), which was initially linked to non-...
Memristive devices are attracting a great attention for memory, logic, neural networks, and sensing ...
Memory devices based on resistive switching (RS) have not been fully realised due to lack of underst...
Memristive devices are attracting a great attention for memory, logic, neural networks, and sensing...
Nonvolatile resistive-switching (RS) memories promise to revolutionize hardware architectures with i...
Synapse, a combination of memory and information processing units, is the ultimate goal to emulate f...
Memristive devices with analog resistive switching characteristics are widely investigated nowadays ...
International audienceInterface-type oxide-based valence-change memories (VCMs) with analog switchin...
We measured and analyzed the dynamic and remnant current-voltages curves of Al/TiO2/Au and Ni/TiO2/N...
Nanoionic device-based artificial neural networks that consume little power and hold a potential for...
The possibility of neuro-inspired computing with eNVMs has increased drastically within the last dec...
Resistive random-access memories, also known as memristors, whose resistance can be modulated by the...