Abstract: Systems and methods are disclosed including a memory device and a processing device operatively coupled to the memory device. The processing device can perform operations including applying an ordered set of error-handling operations to be performed on data residing in a segment of the memory device as an input to a trained machine learning model, wherein the trained machine learning model is based on latency data for previously-performed error-handling operations; and obtaining an output of the trained machine learning model, the output comprising a reordered set of error-handling operations to be performed on the data residing in the segment of the memory device, and wherein the reordered set adjusts an order of one or more error-handling operations of the ordered set of error-handling operations.

Abstract: Systems and methods are disclosed including a memory device and a processing device operatively coupled to the memory device. The processing device can perform operations comprising selecting a source set of memory cells of the memory device, performing a data integrity check on the source set of memory cells to obtain a data integrity metric value; responsive to determining that a data integrity metric value satisfies the threshold criterion, performing a first error-handling operation on the data stored on the source set of memory cells; responsive to determining that the first error-handling operation fails to correct the data, performing a second error-handling operation on the data; and responsive to determining that the second error-handling operation corrected the data, causing the memory device to copy the corrected data to a destination set of memory cells of the memory device.

Abstract: Methods, systems, and devices for a model for predicting memory system performance are described. A memory system may generate a set of read commands and perform a first set of read operations at a memory device according to the generated read commands. The memory system may generate information indicating a performance of the memory device based on the first set of read operations and may update one or more coefficients of a model that correlates the information with a change in a read window. In some cases, the memory system may model the change in a read window based on the information and update one or more parameters associated with read operations based on the modelled change in the read window. The memory system may perform a second set of read operations at the memory device using the one or more updated parameters.

Abstract: A processing device in a memory sub-system determines whether a media endurance metric associated with a memory block of a memory device satisfies one or more conditions. In response to the one or more conditions being satisfied, one or more read margin levels corresponding to a page type associated with the memory device are determined. A machine learning model is applied to the one or more read margin levels to generate a margin prediction value based on the page type and a wordline group associated with the memory device. Based on the margin prediction value, the memory device is assigned to a selected bin of a set of bins. A media scan operation is executed on the memory device in accordance with a scan frequency associated with the selected bin.

Abstract: A request to access data programmed to a memory sub-system is received. A determination is made of whether memory cells of the memory sub-system that store the programmed data satisfy one or more cell degradation criteria. In response to a determination that the memory cells satisfy the one or more cell degradation criteria, an error correction operation to access the data is performed in accordance with the request.

Abstract: An example memory sub-system includes a memory device and a processing device, operatively coupled to the memory device. The processing device is configured to initialize a block family associated with a memory device; initialize a timeout associated with the block family; initializing a low temperature and a high temperature using a reference temperature at the memory device; responsive to programming a block residing on the memory device, associate the block with the block family; and responsive to at least one of: detecting expiration of the timeout or determining that a difference between the high temperature and the low temperature is greater than or equal to a specified threshold temperature value, close the block family.

Abstract: Devices and techniques for temperature informed memory refresh are described herein. A temperature counter can be updated in response to a memory device write performed under an extreme temperature. Here, the write is performed on a memory device element in the memory device. The memory device element can be sorted above other memory device elements in the memory device based on the temperature counter. Once sorted to the top of these memory device elements, a refresh can be performed the memory device element.

Abstract: Systems and methods are disclosed including a memory device and a processing device operatively coupled to the memory device. The processing device can perform operations including determining a value of a data state metric of a memory page, wherein the data state metric value is reflective of a number of bit errors associated with the memory page; upon determining that the data state metric value satisfies a first threshold criterion, obtaining, from a neural network, a value of a voltage distribution metric associated with the page; and upon determining that the voltage distribution metric value satisfies a second threshold criterion, performing a media management operation with respect to a block associated with the page, wherein the media management operation comprises writing data stored at the block to a new block.

Abstract: Technologies for performing a quick reliability scan include, for a particular block of a set of blocks of different block types, each block of the set of blocks including pages of memory of a physical memory device, identifying subset of the pages of the block. The block is scanned by scanning the subset of the plurality of pages of the block for a fold condition. A page of the subset of the plurality of pages is determined to have the fold condition. After the set of blocks has been scanned, the folding of the block that includes the page that has been determined to have the fold condition is requested.

Abstract: A system includes a memory component to, upon completion of second pass programming in response to a multi-pass programming command, write a plurality of flag bits within a group of memory cells programmed by the multi-pass programming command. The system also includes a processing device, operatively coupled to the memory component. The processing device is to detect an error in attempting to read a top page of the group of memory cells, determine a number of first values within the plurality of flag bits, and in response to the number of first values not satisfying a threshold criterion, report, to a host computing device, an uncorrectable data error due to the top page of the group of memory cells being incompletely programmed.

Abstract: At least one data of a set of data stored at a memory cell of a memory component is determined to be associated with an unsuccessful error correction operation. A determination is made as to whether a programming operation associated with the set of data stored at the memory cell has completed. The at least one data of the set of data stored at the memory cell that is associated with the unsuccessful error correction operation is recovered in response to determining that the programming operation has completed. Another memory cell of the memory component is identified in response to recovering the at least one data of the set of data stored at the memory cell that is associated with the unsuccessful error correction operation. The set of data including the recovered at least one data is provided to the other memory cell of the memory component.

Abstract: A processing device in a memory sub-system detects an occurrence of a triggering event, determines respective levels of charge loss associated with a first representative wordline of a block of a memory device and with a second representative wordline of the block of the memory device, and determines whether a difference between the respective levels of charge loss satisfies a threshold criterion. Responsive to determining that the difference between the respective levels of charge loss satisfies the threshold criterion, the processing device further determines that the block is in a uniform charge loss state.

Abstract: A processing device in a memory sub-system monitors a temperature associated with a block of a memory device, the block comprising a plurality of wordlines. The processing device further determines a first amount of time between when memory cells associated with a first wordline of the plurality of wordlines of the block were written and when memory cells associated with a last wordline of the plurality of wordlines of the block were written. That first amount of time is normalized according to the temperature associated with the block. The processing device further determines, based at last in part on the first amount of time and on an associated scaling factor, an estimate of when the block will reach a uniform charge loss state.

Abstract: A system includes a memory device and a processing device coupled to the memory device. The processing device can determine a data rate from a first sensor and a data rate from a second sensor. The processing device can write a first set of data received from the first sensor at a first logical block address (LBA) in the memory device. The processing device can write a second set of data received from the second sensor and subsequent to the first set of data at a second LBA in the memory device. The processing device can remap the first LBA and the second LBA to be logically sequential LBAs. The second LBA can be associated with an offset from the first LBA and the offset can correspond to a data rate of the first sensor.

Abstract: A system includes a memory device and a processing device communicatively coupled to the memory device. The processing device is to write data to a number of groups of memory cells of the memory device in a physically non-contiguous manner. The processing device is further to track a sequence in which the number of groups of memory cells were written with the data. In response to a trigger event, the processing device is further to identify at least a portion of the number of groups of memory cells having data received over a predefined period preceding the trigger event based at least in part on the tracked sequence.

Abstract: A first analysis of each respective die of a multi-die memory device is performed. An equation to determine a respective temperature compensation (tempco) value for each respective die based on a number of program erase cycles (PECs) of the respective die based on the first analysis s determined. The equation for use in processing memory access requests directed to the respective die is stored. Whether to update the equation directed to the respective die based on a second analysis of the respective die is determined.

Abstract: Systems and methods are disclosed including a memory device and a processing device operatively coupled to the memory device. The processing device can perform operations comprising selecting a source set of memory cells of the memory device, wherein the source set of memory cells are configured to store a first number of bits per memory cell; performing a data integrity check on the source set of memory cells to obtain a data integrity metric value; determining whether the data integrity metric value satisfies a threshold criterion; and responsive to determining that the data integrity metric value fails to satisfy the threshold criterion, causing the memory device to copy data from the source set of memory cells to a destination set of memory cells of the memory device, wherein the destination set of memory cells are configured to store a second number of bits per memory cell.

Abstract: A system includes a memory device and a processing device, operatively coupled with the memory device, to perform operations including: determining whether a program erase cycle count associated with a segment of the memory device satisfies a first threshold criterion for triggering an offset bin update; responsive to determining that the program erase cycle count satisfies the first threshold creation, performing a calibration measurement of a center of a voltage valley for each state of each cell in the segment of the memory device; and updating a threshold voltage offset bin associated with the segment of the memory device based on a result of the calibration measurement.

Abstract: One of a plurality of compaction strategies to be performed on the memory device based on at least one characteristic of a memory device is identified. Each of the plurality of compaction strategies is to program host data from at least one single-level cell (SLC) of the memory device to at least one quad-level cell (QLC) of the memory device. One or more host data from a host system is received. A compaction operation on the one or more host data using the one of the plurality of compaction strategies is performed.

Abstract: One or more data units at a memory device and that are associated with one or more dice of a die group comprising a plurality of dice are programmed. A voltage offset bin associated with the plurality of dice in the die group is determined based on a subset of dice of the die group.