Memory

Part Number	Description / PDF	Quantity
BR93L86F-WE2 ROHM Semiconductor	IC EEPROM 16KBIT SPI 2MHZ 8SOP	2341
BR25G128F-3GE2 ROHM Semiconductor	IC EEPROM 128KBIT SPI 20MHZ 8SOP	1196
BR24S16F-WE2 ROHM Semiconductor	IC EEPROM 16KBIT I2C 400KHZ 8SOP	2375
BR93G56FVJ-3GTE2 ROHM Semiconductor	IC EEPROM 2K SPI 3MHZ 8TSSOP	2494
BR24A16F-WME2 ROHM Semiconductor	IC EEPROM 16KBIT I2C 400KHZ 8SOP	1397
BR24G256FV-3GTE2 ROHM Semiconductor	IC EEPROM 256KBIT I2C 8SSOPB	1704
BR24G02FV-3GTE2 ROHM Semiconductor	IC EEPROM 2KBIT I2C 8SSOPB	1293
BU9882FV-WE2 ROHM Semiconductor	IC EEPROM 2K I2C 400KHZ 14SSOP	2479
BR24T08FJ-WE2 ROHM Semiconductor	IC EEPROM 8KBIT I2C 400KHZ 8SOPJ	0
BRCF016GWZ-3E2 ROHM Semiconductor	IC EEPROM 16KBIT I2C UCSP30L1	1539
BR24G08-3A ROHM Semiconductor	IC EEPROM 8KBIT I2C 1MHZ 8DIP	1
BR25G256F-3GE2 ROHM Semiconductor	IC EEPROM 256KBIT SPI 20MHZ 8SOP	7230
BR25L010FJ-WE2 ROHM Semiconductor	IC EEPROM 1KBIT SPI 5MHZ 8SOPJ	394
BR93L46FV-WE2 ROHM Semiconductor	IC EEPROM 1KBIT SPI 2MHZ 8SSOPB	1251
BR95080-WMN6TP ROHM Semiconductor	IC EEPROM 8KBIT SPI 5MHZ 8SO	0
BR93L46RF-WE2 ROHM Semiconductor	IC EEPROM 1KBIT SPI 2MHZ 8SOP	2786
BR24T128F-WE2 ROHM Semiconductor	IC EEPROM 128KBIT I2C 8SOP	440
BU9844GUL-WE2 ROHM Semiconductor	IC EEPROM 16KBIT I2C VCSP50L1	0
BR24A01AF-WME2 ROHM Semiconductor	IC EEPROM 1KBIT I2C 400KHZ 8SOP	2000
BR24A08FJ-WME2 ROHM Semiconductor	IC EEPROM 8KBIT I2C 400KHZ 8SOPJ	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)