EFM32G840F64-QFN64

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Mfr.Part #
EFM32G840F64-QFN64
Manufacturer
Silicon Labs
Package / Case
64-VFQFN Exposed Pad
Datasheet
Download
Description
IC MCU 32BIT 64KB FLASH 64QFN
Stock
7,958
In Stock :
7,958

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Manufacturer :
Silicon Labs
Product Category :
Microcontrollers
Data Converter :
A/D 8x12b; D/A 2x12b
Number of Programmable I/O :
56
uPs/uCs/Peripheral ICs Type :
MICROCONTROLLER, RISC
Oscillator Type :
Internal
Packaging :
Tape and Reel (TR)
Data Bus Width :
32b
Core Architecture :
ARM
Frequency :
32MHz
Package / Case :
64-VFQFN Exposed Pad
Terminal Pitch :
0.5mm
Time@Peak Reflow Temperature-Max (s) :
NOT SPECIFIED
Qualification Status :
Not Qualified
Terminal Form :
NO LEAD
DAC Channels :
yes
Number of Timers/Counters :
3
Program Memory Type :
Flash
Memory Size :
64KB
Length :
9mm
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Voltage - Supply (Vcc/Vdd) :
1.98V~3.8V
Peripherals :
Brown-out Detect/Reset, DMA, LCD, POR, PWM, WDT
Core Processor :
ARM® Cortex®-M3
Program Memory Size :
64KB 64K x 8
Operating Temperature :
-40°C~85°C TA
Number of I/O :
56
Interface :
EBI/EMI, I2C, IrDA, SPI, UART, USART
Core Size :
32-Bit
Operating Supply Voltage :
3.8V
Supply Voltage :
3V
Number of Pins :
64
Terminal Position :
QUAD
Has ADC :
yes
RoHS Status :
RoHS Compliant
Height Seated (Max) :
0.9mm
DMA Channels :
yes
Watchdog Timer :
yes
Published :
2010
Mounting Type :
Surface Mount
Series :
Gecko
PWM Channels :
yes
Factory Lead Time :
6 Weeks
Peak Reflow Temperature (Cel) :
NOT SPECIFIED
RAM Size :
16K x 8
Bit Size :
32
Number of Terminations :
64
Connectivity :
I2C, IrDA, SmartCard, SPI, UART/USART
Surface Mount :
yes
Introducing Microcontrollers Silicon Labs EFM32G840F64-QFN64 from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:64-VFQFN Exposed Pad, Operating Temperature:-40°C~85°C TA, Number of Pins:64, Mounting Type:Surface Mount, Number of Terminations:64, EFM32G840F64-QFN64 pinout, EFM32G840F64-QFN64 datasheet PDF, EFM32G840F64-QFN64 amp .Beyond Microcontrollers Silicon Labs EFM32G840F64-QFN64 ,we also offer PIC16F506-I/SL, ATTINY44A-SSN, MS51FB9AE, Our vast inventory has you covered. Contact us now for immediate solutions.

Silicon Labs EFM32G840F64-QFN64


Microcontrollers Silicon Labs EFM32G840F64-QFN64 Overview

The Silicon Labs EFM32G840F64-QFN64 is a highly efficient microcontroller designed to meet the advanced requirements of modern embedded applications. This 32-bit MCU is built on an ARM Cortex-M3 processor, featuring a robust 64KB of flash memory, encapsulated in a compact 64-QFN package. The product excels in delivering high performance with low power consumption, making it an ideal choice for developers looking to optimize energy efficiency without sacrificing computational power. With its versatile feature set and Silicon Labs' cutting-edge technology, the Microcontrollers Silicon Labs EFM32G840F64-QFN64 ensures seamless integration into a variety of electronic assemblies, enhancing system reliability and performance.

EFM32G840F64-QFN64 Features

This microcontroller offers a balanced mix of power efficiency and processing capability. Key features include a 32-bit ARM Cortex-M3 core, 64KB of flash memory, and a range of peripheral interfaces such as UART, SPI, I2C, and more. Its energy-friendly modes further empower designers to build systems that require extended operational periods on battery power, with minimal energy waste. The 64-QFN package is designed for space-saving on the PCB, making it suitable for compact device designs.

EFM32G840F64-QFN64 Applications

  • Smart Home Devices: Integrates seamlessly into home automation systems, providing the brain for controlling lighting, security, and other automated home systems.
  • Wearable Technology: Its low power consumption makes it ideal for wearables, supporting long battery life in devices such as smartwatches and fitness trackers.
  • Industrial Automation: Can be employed in various industrial control systems, facilitating efficient process management and machine-to-machine communication.
  • Medical Devices: Suitable for non-invasive medical devices, ensuring reliable operation with secure data handling capabilities for patient monitoring systems.
  • Energy Management: Helps in developing solutions that optimize consumption in systems like smart grids and solar inverters, enhancing energy efficiency and sustainability.
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