Memory

Part Number	Description / PDF	Quantity
BR93H86RFJ-2CE2 ROHM Semiconductor	IC EEPROM 16KBIT SPI 2MHZ 8SOPJ	2478
MSM5117405F-60T-DKX ROHM Semiconductor	IC DRAM 16M PARALLEL 26TSOP	3188
BR93H86RFVM-2CTR ROHM Semiconductor	IC EEPROM 16KBIT SPI 2MHZ 8MSOP	2928
BR24S16NUX-WTR ROHM Semiconductor	IC EEPROM 16K I2C VSON008X2030	3999
BR24A04F-WLBH2 ROHM Semiconductor	IC EEPROM 4KBIT I2C 400KHZ 8SOP	496
MD56V62160M-7TAZ0AX ROHM Semiconductor	IC DRAM 64MBIT PAR 54TSOP II	1133
BR24C02-WDS6TP ROHM Semiconductor	IC EEPROM 2KBIT I2C 8TSSOP	0
BR24G512F-3AGTE2 ROHM Semiconductor	IC EEPROM 512KBIT I2C 1MHZ 8SOP	1041
BR25G256FVT-3GE2 ROHM Semiconductor	IC EEPROM 256KBIT SPI 8TSSOP	67
BR24G256FVT-3GE2 ROHM Semiconductor	IC EEPROM 256KBIT I2C 8TSSOPB	3855
BR25320N-10SU-1.8 ROHM Semiconductor	IC EEPROM 32KBIT SPI 3MHZ 8SOIC	0
BR24L16FJ-WE2 ROHM Semiconductor	IC EEPROM 16KBIT I2C 8SOPJ	1749
BR93L56F-WE2 ROHM Semiconductor	IC EEPROM 2KBIT SPI 2MHZ 8SOP	0
BR24G16FV-3GTE2 ROHM Semiconductor	IC EEPROM 16KBIT I2C 8SSOPB	2113
BR24C01-WDW6TP ROHM Semiconductor	IC EEPROM 1KBIT I2C 8TSSOP	0
BR93G66FVT-3AGE2 ROHM Semiconductor	IC EEPROM 4KBIT SPI 3MHZ 8TSSOPB	3000
BR25G640FJ-3GE2 ROHM Semiconductor	IC EEPROM 64KBIT SPI 20MHZ 8SOPJ	1898
BR93H66RFVM-2CTR ROHM Semiconductor	IC EEPROM 4KBIT SPI 2MHZ 8MSOP	2918
BR24A01AF-WLBH2 ROHM Semiconductor	IC EEPROM 1KBIT I2C 400KHZ 8SOP	224
BR24G64FVT-3AGE2 ROHM Semiconductor	IC EEPROM 64KBIT I2C 8TSSOPB	2554

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)