Memory

Part Number	Description / PDF	Quantity
MR25H40CDF Everspin Technologies, Inc.	IC RAM 4MBIT SPI 40MHZ 8DFN	2414
MR25H256MDF Everspin Technologies, Inc.	IC RAM 256KBIT SPI 40MHZ 8DFN	0
MR2A16AVYS35 Everspin Technologies, Inc.	IC RAM 4MBIT PARALLEL 44TSOP2	1402
MR5A16ACYS35R Everspin Technologies, Inc.	IC RAM 32MBIT PARALLEL 54TSOP2	0
MR4A16BCYS35 Everspin Technologies, Inc.	IC RAM 16MBIT PARALLEL 54TSOP2	648
MR25H128PDFR Everspin Technologies, Inc.	IC RAM 128K SPI 40MHZ 8DFN	0
MR25H128PDF Everspin Technologies, Inc.	IC RAM 128K SPI 40MHZ 8DFN	0
EMD4E001G16G2-150CAS2 Everspin Technologies, Inc.	IC RAM 1GBIT PAR 667MHZ 96BGA	34
MR25H10MDCR Everspin Technologies, Inc.	IC RAM 1MBIT SPI 40MHZ 8DFN	0
MR256A08BSO35 Everspin Technologies, Inc.	IC RAM 256KBIT PARALLEL 32SOIC	0
MR0A08BCSO35 Everspin Technologies, Inc.	IC RAM 1MBIT PARALLEL 32SOIC	0
MR256A08BCSO35R Everspin Technologies, Inc.	IC RAM 256KBIT PARALLEL 32SOIC	0
MR0A08BSO35R Everspin Technologies, Inc.	IC RAM 1MBIT PARALLEL 32SOIC	0
MR0A08BSO35 Everspin Technologies, Inc.	IC RAM 1MBIT PARALLEL 32SOIC	0
MR20H40DFR Everspin Technologies, Inc.	IC RAM 4MBIT SPI 50MHZ 8DFN	0
MR256A08BSO35R Everspin Technologies, Inc.	IC RAM 256KBIT PARALLEL 32SOIC	0
MR256A08BCSO35 Everspin Technologies, Inc.	IC RAM 256KBIT PARALLEL 32SOIC	0
MR20H40DF Everspin Technologies, Inc.	IC RAM 4MBIT SPI 50MHZ 8DFN	0
MR0A08BCSO35R Everspin Technologies, Inc.	IC RAM 1MBIT PARALLEL 32SOIC	0

Memory

1. Overview

Memory integrated circuits (ICs) are semiconductor devices used for storing digital data in electronic systems. As fundamental components of modern electronics, they enable data retention and retrieval in computers, mobile devices, industrial equipment, and automotive systems. Memory ICs are categorized into volatile (requires power to retain data) and non-volatile (retains data without power) types, playing critical roles in system performance, storage capacity, and energy efficiency.

2. Major Types and Functional Classification

Type	Functional Characteristics	Application Examples
DRAM (Dynamic RAM)	High-density, low-cost, requires periodic refresh	PCs, Servers, Graphics Cards
NAND Flash	Non-volatile, high endurance, block-level access	SSDs, USB Drives, Mobile Storage
SRAM (Static RAM)	High-speed, low density, no refresh required	Cache Memory, Networking Equipment
NOR Flash	Random access, execute-in-place capability	Embedded Systems, Automotive ECUs
MRAM (Magnetoresistive RAM)	Non-volatile, unlimited endurance, low power	IoT Devices, Industrial Sensors

3. Structure and Composition

Memory ICs typically consist of:

Storage Cell Array: Matrix of memory cells (transistors/capacitors for DRAM, floating-gate transistors for Flash)
Address Decoder: Selects specific memory locations
I/O Circuits: Data input/output interfaces
Control Logic: Manages read/write operations and timing
Power Management Units: Optimizes energy consumption

Advanced packages include BGA (Ball Grid Array) and 3D-stacked configurations for density optimization.

4. Key Technical Specifications

Parameter	Description	Importance
Storage Capacity	Data volume (Gb/GiB)	Determines system memory limits
Access Time	ns/predictable latency	Impacts processing speed
Power Consumption	mW/MHz	Affects battery life and thermal design
Endurance	P/E cycles (Flash)	Dictates product lifespan
Data Retention	Years (non-volatile)	Critical for long-term storage

5. Application Areas

Consumer Electronics: Smartphones (NAND Flash), Gaming Consoles (GDDR6)
Industrial Automation: PLCs (SRAM), Data Loggers (MRAM)
Automotive Systems: ADAS (LPDDR5), Infotainment (eMMC)
Enterprise Storage: SSD Controllers (3D NAND), Servers (RDIMM)

6. Leading Manufacturers and Products

Manufacturer	Representative Products
Samsung Electronics	V-NAND (9x-layer), LPDDR5X
SK hynix	HBM3 (8GB/s bandwidth), GDDR6
Microchip Technology	Serial NOR Flash (SST26)
Kioxia Corporation	BiCS FLASH (3D NAND)
Infineon Technologies	MRAM (40nm process)

7. Selection Recommendations

Key considerations:

Match memory type to application requirements (e.g., NOR Flash for code storage)
Evaluate bandwidth vs. latency tradeoffs
Analyze temperature and vibration specifications
Assess long-term supply stability
Optimize cost-per-bit metrics

Case Study: A smartphone manufacturer selected UFS 3.1 (NAND-based) for 2100MB/s read speeds, improving app launch times by 35%.

8. Industry Trends

Future directions include:

3D NAND scaling beyond 200 layers
Emerging memories (ReRAM, PCM) for AI acceleration
Package-on-Package (PoP) integration
AI-optimized memory architectures (Processing-in-Memory)
Green manufacturing processes (EUV lithography)