Manufacturer Part Number
NUC121SC2AE
Manufacturer
nuvoton-technology-corporation-america
Introduction
The NUC121SC2AE is a high-performance, low-power 32-bit ARM Cortex-M0 based microcontroller from Nuvoton. It offers a comprehensive set of peripherals and interfaces, making it suitable for a wide range of embedded applications, from industrial control and automation to IoT devices and wearables.
Product Features and Performance
32-bit ARM Cortex-M0 core running at 50MHz
32KB Flash program memory and 8KB SRAM
Extensive peripheral set including I2C, SPI, UART, USB, I2S, PWM, and DMA
Integrated 12-bit ADC with 12 channels
Supports operating voltages from 2.5V to 5.5V
Wide operating temperature range from -40°C to 105°C
Small 64-pin LQFP package
Product Advantages
Powerful 32-bit ARM Cortex-M0 core with efficient performance
Flexible peripheral set for diverse application requirements
Low power consumption for battery-powered or energy-constrained designs
Wide operating voltage and temperature range for robust operation
Key Reasons to Choose This Product
Versatile microcontroller with a comprehensive set of features
Excellent balance of performance, power efficiency, and cost-effectiveness
Robust design suitable for industrial and harsh environments
Backed by Nuvoton's technical support and ecosystem
Quality and Safety Features
Integrated brown-out detection and reset
Power-on reset (POR) circuitry
Watchdog timer for system reliability
Compatibility
The NUC121SC2AE is compatible with a wide range of embedded systems and can be easily integrated into various application designs.
Application Areas
Industrial automation and control
Internet of Things (IoT) devices
Wearable electronics
Home appliances and smart home systems
Medical and healthcare devices
Portable and battery-powered applications
Product Lifecycle
The NUC121SC2AE is an active and currently available product. There are no plans for discontinuation at this time. Customers are advised to check with our website's sales team for the latest product availability and potential alternative or equivalent models.