Kioxia Corporation, a world leader in memory solutions, today announced it has commenced sample shipments of 1Tb (terabit) Triple-Level Cell (TLC) memory devices incorporating its 9th-generation BiCS ...

SanDisk stock fell more than 35% after China's CXMT debuted on Shanghai's STAR Market with a 466% IPO surge — but CXMT makes ...

Kioxia has announced the start of sample shipments for its latest 10th-generation BiCS FLASH 3D NAND technology, introducing a new 1 Tb Triple-Level Cell (TLC) memory device aimed at enterprise SSDs ...

As an emerging non-volatile device, memristors have garnered significant attention due to their low power consumption, high density, and multifunctionality. In modern computing systems, traditional ...

Increased storage needs at the edge and in the cloud are fueling rising demand for higher-capacity flash memory across multiple applications. Released every 12 to 18 months, 3D NAND scaling outpaces ...

Vertical scaling is vital to increasing the storage density of 3D NAND. According to imec, airgap integration and charge trap layer separation are the keys to unlocking it. Inside the charge trap cell ...

An SR latch is a basic memory element in digital electronics that stores binary data using Set and Reset inputs. This tutorial covers the SR latch truth table, the circuit diagram, and the working ...

Dynamic random-access memory (DRAM) chips contain many other transistors besides the access transistor to enable full operation of the DRAM memory. These peripheral transistors must meet stringent ...

For decades, compute architectures have relied on dynamic random-access memory (DRAM) as their main memory, providing temporary storage from which processing units retrieve data and program code. The ...

As you probably know, processors – and most other digital technology – are made up of transistors. The simplest way to think of a transistor is as a controllable switch with three pins. When the gate ...

Abstract: Impact of strain of sub-3 nm gate-all-around (GAA) CMOS transistors on the circuit performance is evaluated using a neural compact model. The model was trained using 3D technology ...