Abstract: A 3D NAND array with divided string architecture. In one aspect, an apparatus includes a plurality of charge storing devices connected to form a cell string. The apparatus also includes one or more internal select gates connected between selected charge storing devices in the cell string. The one or more internal select gates divide the cell string into two or more segments of charge storing devices. Selectively enabling and disabling the one or more internal select gates during programming operates to isolate one or more selected segments to reduce program-disturb to remaining segments. In another embodiment, a method is provided for programming a memory cell of a cell string having internal select gates that isolate the memory cell to reduce the effects of program-disturb. In another embodiment, multiple memory cells of a cell string having internal select gates are programmed with reduced program-disturb.

Abstract: A CMOS anti-fuse cell is disclosed. In one aspect, an apparatus includes an N? well and an anti-fuse cell formed on the N? well. The anti-fuse cell includes a drain P+ diffusion deposited in the N? well, a source P+ diffusion deposited in the N? well, and an oxide layer deposited on the N? well and having an overlapping region that overlaps the drain P+ diffusion. A control gate is deposited on the oxide layer. A data bit of the anti-fuse cell is programmed when a voltage difference between the control gate and the drain P+ diffusion exceeds a voltage threshold of the oxide layer and forms a leakage path from the control gate to the drain P+ diffusion. The leakage path is confined to occur in the overlapping region.

Abstract: Three-dimensional vertical memory array cell structures and processes. In an exemplary embodiment, a cell structure includes a word line, a selector layer, and a memory layer. The word line, the selector layer, and the memory layer form a vertical cell structure in which at least one of the selector layer and the memory layer are segmented to form a segment that blocks sneak path leakage current on the word line.

Abstract: A CMOS anti-fuse cell is disclosed. In one aspect, an apparatus includes an N-well and an anti-fuse cell formed on the N-well. The anti-fuse cell includes a drain P+ diffusion deposited in the N-well, a source P+ diffusion deposited in the N-well, and an oxide layer deposited on the N-well and having an overlapping region that overlaps the drain P+ diffusion. A control gate is deposited on the oxide layer. A data bit of the anti-fuse cell is programmed when a voltage difference between the control gate and the drain P+ diffusion exceeds a voltage threshold of the oxide layer and forms a leakage path from the control gate to the drain P+ diffusion. The leakage path is confined to occur in the overlapping region.

Abstract: Methods and apparatus for memory cells that combine static random-access memory and non-volatile memory. In an exemplary embodiment, a memory cell is provided that includes a static random-access memory (SRAM) cell having Q and QB nodes and a non-volatile memory (NVM) array having a plurality of NVM cells. Each NVM cell comprises a memory element and a selector. The memory cell also includes select gates that selectively couple at least one of the Q and QB nodes to the plurality of NVM cells.

Abstract: Three-dimensional vertical memory array cell structures and processes. In an exemplary embodiment, a 3D vertical memory array structure is formed by performing operations that include forming an array stack having alternating metal layers and insulator layers, forming a hole through the array stack to expose internal surfaces of the metal layers and internal surfaces of the insulator layers, and performing a metal-oxidation process on the internal surfaces of the metal layers to form selector devices on the internal surfaces of the metal layers. The operations also include depositing one of resistive material or phase-change material within the hole on the selector devices and the internal surfaces of the insulator layers, such that the hole is reduced to a smaller hole, and depositing conductor material in the smaller hole.

Abstract: Methods and apparatus for writing nonvolatile 3D NAND flash memory using multiple-page programming. A method is provided for multiple-page programming of an array having a block that includes page groups and each page group includes cell strings that form pages. The method includes deactivating drain select gates (DSGs) and source select gates (SSG), applying a programming voltage to a selected word line, and applying a middle high voltage to unselected word lines. The method also includes repeating multiple programming operations while maintaining the word line voltage levels from a first programming operation to a last programming operation. Each programming operation includes loading data onto bit lines and pulsing a drain select gate associated with a selected page group to load the data into a selected page of the selected page group.

Abstract: Two and three-dimensional neural network arrays. In an exemplary embodiment, a two-dimensional (2D) neural network array includes a plurality of input neurons connected to a plurality of input lines, and a plurality of output neurons connected to a plurality of output lines. The 2D neural network array also includes synapse elements connected between the input lines and the output lines. Each synapse element includes a programmable resistive element. A three-dimensional (3D) neural network array includes a plurality of stacked two-dimensional (2D) neural network arrays each having a plurality of input neurons connected to a plurality of input layers and a plurality of output neurons connected to a plurality of output layers. The output layers intersect with the input layers and include synapse elements formed between intersecting regions of the input layers and the output layers. Each synapse element includes a programmable resistive element.

Abstract: Configurable three-dimensional neural network array. In an exemplary embodiment, a three-dimensional (3D) neural network array includes a plurality of stacked synapse layers having a first orientation, and a plurality of synapse lines having a second orientation and passing through the synapse layers. The neural network array also includes synapse elements connected between the synapse layers and synapse lines. Each synapse element includes a programmable resistive element. The neural network array also includes a plurality of output neurons, and a plurality of select transistors connected between the synapse lines and the output neurons. The gate terminals of the select transistors receive input signals.

Abstract: A method of storing information or data in a nonvolatile memory device with multiple-page programming. The method, in one aspect, is able to activate a first drain select gate (“DSG”) signal. After loading the first data from a bit line (“BL”) to a nonvolatile memory page of a first memory block in response to activation of the first DSG signal during a first clock cycle, the first DSG signal is deactivated. Upon activating a second DSG signal, the second data is loaded from the BL to a nonvolatile memory page of a second memory block. The first data and the second data are simultaneously written to the first memory block and the second memory block, respectively.

Abstract: A memory device includes a static random-access memory (“SRAM”) circuit and a first nonvolatile memory (“NVM”) string, a second NVM string, a first and a second drain select gates (“DSGs”). The SRAM circuit is able to temporarily store information in response to bit line (“BL”) information which is coupled to at the input terminal of the SRAM circuit. The first NVM string having at least one nonvolatile memory cell is coupled to the output terminal of the SRAM. The first DSG is operable to control the timing for storing information at the output terminal of the SRAM to the first nonvolatile memory. The second NVM string having at least one nonvolatile memory cell is coupled to the output terminal of the SRAM. The second DSG controls the timing for storing information at the output terminal of the SRAM to the second nonvolatile memory string.

Abstract: A CMOS anti-fuse cell is disclosed. In one aspect, an apparatus includes an N? well and an anti-fuse cell formed on the N? well. The anti-fuse cell includes a drain P+ diffusion deposited in the N? well, a source P+ diffusion deposited in the N? well, and an oxide layer deposited on the N? well and having an overlapping region that overlaps the drain P+ diffusion. A control gate is deposited on the oxide layer. A data bit of the anti-fuse cell is programmed when a voltage difference between the control gate and the drain P+ diffusion exceeds a voltage threshold of the oxide layer and forms a leakage path from the control gate to the drain P+ diffusion. The leakage path is confined to occur in the overlapping region.

Abstract: A 3D NAND array with divided string architecture. In one aspect, an apparatus includes a plurality of charge storing devices connected to form a cell string. The apparatus also includes one or more internal select gates connected between selected charge storing devices in the cell string. The one or more internal select gates divide the cell string into two or more segments of charge storing devices. Selectively enabling and disabling the one or more internal select gates during programming operates to isolate one or more selected segments to reduce program-disturb to remaining segments. In another embodiment, a method is provided for programming a memory cell of a cell string having internal select gates that isolate the memory cell to reduce the effects of program-disturb. In another embodiment, multiple memory cells of a cell string having internal select gates are programmed with reduced program-disturb.

Abstract: A compact CMOS anti-fuse memory cell. In one aspect, an apparatus includes an N-well and an anti-fuse cell formed on the N-well. The anti-fuse cell includes a lightly doped drain (LDD) region deposited in the N-well, an oxide layer deposited on the N-well and having an overlapping region that overlaps the LDD region, and a control gate deposited on the oxide layer, wherein a bit of the anti-fuse cell is programmed when a voltage difference between the control gate and the LDD region exceeds a voltage threshold of the oxide layer and forms a leakage path from the control gate to the LDD region, and wherein the leakage path is confined to occur in the overlapping region.

Abstract: A memory device is able to store data using both on-chip dynamic random-access memory (“DRAM”) and nonvolatile memory (“NVM”). The memory device, in one aspect, includes NVM cells, word lines (“WLs”), a cell channel, and a DRAM mode select. The NVM cells are capable of retaining information persistently and the WLs are configured to select one of the NVM cells to be accessed. The cell channel, in one embodiment, is configured to interconnect the NVM cells to form a NVM string. The DRAM mode select can temporarily store data in the cell channel when the DRAM mode select is active.

Abstract: A CMOS anti-fuse cell is disclosed. In one aspect, an apparatus includes an N? well and an anti-fuse cell formed on the N? well. The anti-fuse cell includes a drain P+ diffusion deposited in the N? well, a source P+ diffusion deposited in the N? well, and an oxide layer deposited on the N? well and having an overlapping region that overlaps the drain P+ diffusion. A control gate is deposited on the oxide layer. A data bit of the anti-fuse cell is programmed when a voltage difference between the control gate and the drain P+ diffusion exceeds a voltage threshold of the oxide layer and forms a leakage path from the control gate to the drain P+ diffusion. The leakage path is confined to occur in the overlapping region.

Abstract: A memory system is configured to store information using a hybrid volatile and nonvolatile memory device. The memory system, in one aspect, includes memory components, a drain select gate (“DSG”) transistor, and a capacitor component. Each memory component, in one example, includes a source terminal, a gate terminal, a drain terminal, and a nonvolatile cell. The memory components are organized in a string formation and the components are interconnected between source terminals and drain terminals. The drain terminal of DSG transistor is coupled to the source terminal of a memory component and the gate terminal of DSG transistor is coupled to a DSG signal. The drain terminal of the capacitor is coupled to the source terminal of the first DSG transistor. The capacitor component is configured to perform a dynamic random-access memory (“DRAM”) function.

Abstract: Self-learning for neural network arrays. In an exemplary embodiment, a method includes determining input voltages to be applied to one or more input neurons of a neural network, and determining target output voltages to be obtained at one or more output neurons of the neural network in response to the input voltages. The neural network also includes a plurality of hidden neurons and synapses connecting the neurons, and each of a plurality of synapses includes a resistive element. The method also includes applying the input voltages to the input neurons, and applying the target output voltages or complements of the target output voltages to the output neurons to simultaneously program the resistive elements of the plurality of synapses.

Abstract: A memory device includes a static random-access memory (“SRAM”) circuit and a first nonvolatile memory (“NVM”) string, a second NVM string, a first and a second drain select gates (“DSGs”). The SRAM circuit is able to temporarily store information in response to bit line (“BL”) information which is coupled to at the input terminal of the SRAM circuit. The first NVM string having at least one nonvolatile memory cell is coupled to the output terminal of the SRAM. The first DSG is operable to control the timing for storing information at the output terminal of the SRAM to the first nonvolatile memory. The second NVM string having at least one nonvolatile memory cell is coupled to the output terminal of the SRAM. The second DSG controls the timing for storing information at the output terminal of the SRAM to the second nonvolatile memory string.

Abstract: Three-dimensional neural network array. In an exemplary embodiment, a three-dimensional (3D) neural network includes a plurality of input conductors forming a plurality of stacked input layers having a first orientation, and at least one output conductor forming an output layer having the first orientation. The three-dimensional (3D) neural network also includes a plurality of hidden conductors having a second orientation. Each hidden conductor includes an in-line threshold element. The three-dimensional (3D) neural network also includes synapse elements coupled between the hidden conductors and the input conductors and between the hidden conductors and the output conductor. Each synapse element includes a programmable resistive element.