Add to ORKGResistance change memories (RRAMs) have recently attracting much attention. The switching behaviors and mechanisms of RRAMs are still under investigation, many questions are still open. This thesis presents a comprehensive study of the switching behaviors and mechanisms of RRAMs. Various RRAM models are studied and analyzed. A VerilogA model of the memristor is introduced. The I-V characteristic of a single memristor, the frequency response of the memristor, and the zero-input response of a memristor-capacitor (MC) system are studied. This thesis shows that the time constant of a MC system is smaller than the time constant of a regular resistor-capacitor system. In addition, this thesis shows that the resistive switching behavior is ...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
The multidisciplinary field of memristors calls for the necessity for theoreticallyinclined research...
The investigation of new memory schemes, neural networks, computer systems and many other improved e...
The memristor represents the key circuit element for the development of the constitutive blocks of f...
Resistive random-access memory (RRAM) is essential for developing neuromorphic devices, and it is st...
Resistive random-access memory (RRAM) is essential for developing neuromorphic devices, and it is st...
Abstract In this work, we provide a comprehensive discussion on the various models proposed for the ...
A physical-based simplified model is presented to quantify the resistive switching behavior of oxide...
The relevance of the intrinsic series resistance effect in the context of resistive random access me...
© Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://crea...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
The efforts in this doctoral thesis have been focused on the characterization and modeling of memri...
Resistive switching memories, also known as memristors, have exhibited an immense potential for a wi...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
The multidisciplinary field of memristors calls for the necessity for theoreticallyinclined research...
The investigation of new memory schemes, neural networks, computer systems and many other improved e...
The memristor represents the key circuit element for the development of the constitutive blocks of f...
Resistive random-access memory (RRAM) is essential for developing neuromorphic devices, and it is st...
Resistive random-access memory (RRAM) is essential for developing neuromorphic devices, and it is st...
Abstract In this work, we provide a comprehensive discussion on the various models proposed for the ...
A physical-based simplified model is presented to quantify the resistive switching behavior of oxide...
The relevance of the intrinsic series resistance effect in the context of resistive random access me...
© Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://crea...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
The efforts in this doctoral thesis have been focused on the characterization and modeling of memri...
Resistive switching memories, also known as memristors, have exhibited an immense potential for a wi...
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ w...
The multidisciplinary field of memristors calls for the necessity for theoreticallyinclined research...
The investigation of new memory schemes, neural networks, computer systems and many other improved e...