Programmable resistive memory can be fabricated with a non-single-crystalline silicon formed on a flexible substrate. The non-single-crystalline silicon can be amorphous silicon, low-temperature polysilicon (LTPS), organic semiconductor, or metal oxide semiconductor. The flexible substrate can be glass, plastics, paper, metal, paper, or any kinds of flexible film. The programmable resistive memory can be PCRAM, RRAM, MRAM, or OTP. The OTP element can be a silicon, polysilicon, organic or metal oxide electrode. The selector in a programmable resistive memory can be a MOS or diode with top gate, bottom gate, inverted, staggered, or coplanar structures.

Electrical switching technologies employ the otherwise undesirable line defect in crystalline materials to form conductive filaments. A switching cell includes a crystalline layer disposed between an active electrode and another electrode. The crystalline layer has at least one channel, such as a line defect, extending from one surface of the crystalline layer to the other surface. Upon application of a voltage on the two electrodes, the active electrode provides metal ions that can migrate from the active electrode to the other electrode along the line defect, thereby forming a conductive filament. The switching cell can precisely locate the conductive filament within the line defect and increase the device-to-device switching uniformity.

Techniques are provided for programming a self-selecting memory cell that stores a first logic state. To program the memory cell, a pulse having a first polarity may be applied to the cell, which may result in the memory cell having a reduced threshold voltage. During a duration in which the threshold voltage of the memory cell may be reduced (e.g., during a selection time), a second pulse having a second polarity (e.g., a different polarity) may be applied to the memory cell. Applying the second pulse to the memory cell may result in the memory cell storing a second logic state different than the first logic state.

Conductive bridge random access memory (CBRAM) devices with low thermal conductivity electrolyte sublayers are described. In an example, a conductive bridge random access memory (CBRAM) device includes a conductive interconnect disposed in an inter-layer dielectric (ILD) layer disposed above a substrate. The CBRAM device also includes a CBRAM element disposed on the conductive interconnect. The CBRAM element includes an active electrode layer disposed on the conductive interconnect, and a resistance switching layer disposed on the active electrode layer. The resistance switching layer includes a first electrolyte material layer disposed on a second electrolyte material layer, the second electrolyte material layer disposed on the active electrode layer and having a thermal conductivity lower than a thermal conductivity of the first electrolyte material layer. A passive electrode layer is disposed on the first electrolyte material of the resistance switching layer.

Embodiments of the invention are directed to a resistive switching device (RSD). A non-limiting example of the RSD includes a fin-shaped element formed on a substrate, wherein the fin-shaped element includes a source region, a central channel region, and a drain region. A gate is formed over a top surface and sidewalls of the central channel region. The fin-shaped element is doped with impurities that generate interstitial charged particles configured to move interstitially through a lattice structure of the fin-shaped element under the influence of an electric field applied to the RSD.

The present invention discloses a multi-bit-per-cell three-dimensional resistive random-access memory (3D-RRAM.sub.MB). It comprises a plurality of RRAM cells stacked above a semiconductor substrate. Each RRAM cell comprises a RRAM layer, which is switched from a high-resistance state to a low-resistance state during programming. By adjusting the programming current, the programmed RRAMs have different resistances.

Technologies relating to improving LRS data retention and reliability in RRAM-based crossbar array circuits are disclosed. An example apparatus includes: a bottom electrode; a filament forming layer formed on the bottom electrode; and a top electrode formed on the filament forming layer. The filament forming layer is configured to form a filament within the filament forming layer responsive a switching voltage being applied to the filament forming layer. The filament forming layer may be made of one of the following materials: HfOxSiy, HfOxNy, HfOxAly, HfOx doped with SiO2, HfOx doped with Al2O3, HfOx doped with N, HfOx doped with Si.sub.3N.sub.4, HfOx doped with AlN, or a combination thereof. The bottom electrode or the top electrode may be made of one of the following materials: Pt, Ti, TiN, Pd, Ir, W, Ta, Hf, Nb, V, Ru, TaN, NbN, a combination therefore, or an alloy with other electrically conductive materials.

Techniques are provided for programming a self-selecting memory cell that stores a first logic state. To program the memory cell, a pulse having a first polarity may be applied to the cell, which may result in the memory cell having a reduced threshold voltage. During a duration in which the threshold voltage of the memory cell may be reduced (e.g., during a selection time), a second pulse having a second polarity (e.g., a different polarity) may be applied to the memory cell. Applying the second pulse to the memory cell may result in the memory cell storing a second logic state different than the first logic state.

A resistive memory device and a method of operation of the resistive memory device are provided. The resistance memory device includes a resistance change layer that has a tunneling film and has many states. The conductance is changed symmetrically in a SET operation and a RESET operation. Thus, the resistive memory device can be used for efficient and accurate data storage as a RRAM in a high-capacity memory array, and as a synaptic device controlling the connection strength of a synapse in a neuromorphic system.

Disclosed are systems and methods for monolithically-integrating an artificial intelligence processor system and a nanotube memory system on the same die to achieve high memory density and low power consumption.