Microchip Technology

AT24C16D-STUM-T

AT24C16D-STUM-T Description

The AT24C16D-STUM-T is a 16Kbit (2K x 8) EEPROM memory IC from Microchip Technology, designed for reliable data storage in various applications. This EEPROM is based on I2C interface technology, offering a simple and efficient method for communication between the microcontroller and memory. With a clock frequency of 1 MHz and an access time of 450 ns, the AT24C16D-STUM-T provides fast data retrieval and storage capabilities.

AT24C16D-STUM-T Features

• Technology: EEPROM (Electrically Erasable Programmable Read-Only Memory)
• Memory Organization: 2K x 8 bits
• Memory Size: 16Kbit
• Memory Interface: I2C
• Access Time: 450 ns
• Clock Frequency: 1 MHz
• Voltage - Supply: 1.7V ~ 3.6V
• Write Cycle Time - Word, Page: 5ms
• Mounting Type: Surface Mount
• Package: Tape & Reel (TR)
• RoHS Status: ROHS3 Compliant
• REACH Status: REACH Unaffected
• Moisture Sensitivity Level (MSL): 1 (Unlimited)
• ECCN: EAR99
• HTSUS: 8542.32.0051

AT24C16D-STUM-T Applications

The AT24C16D-STUM-T is ideal for applications requiring non-volatile memory storage, such as:

1. Microcontroller-based systems: For storing firmware, configuration settings, and user data.
2. Industrial automation: Storing calibration data, sensor settings, and operational parameters.
3. Consumer electronics: Storing user preferences, settings, and firmware updates.
4. IoT devices: Storing device configurations, sensor data, and firmware updates.
5. Automotive applications: Storing calibration data, user preferences, and diagnostic information.

Conclusion of AT24C16D-STUM-T

The AT24C16D-STUM-T is a versatile and reliable EEPROM memory IC from Microchip Technology. Its I2C interface, fast access time, and wide voltage range make it suitable for a variety of applications in different industries. With its RoHS3 compliance and REACH unaffected status, the AT24C16D-STUM-T is an environmentally friendly choice for your non-volatile memory storage needs. Its unique features and advantages over similar models make it an ideal choice for applications requiring fast data retrieval and storage capabilities.