LM3723EM5-2.32/NOPB Overview

Power management is mounted through 5 terminals. There is a Tape & Reel (TR)-packaging method applied to IC management. As a reference, this IC management includes 1 functions for your convenience. There are 1 channels available on this supervisor, and each channel has a different function. Please find attached SC-74A, SOT-753 functions for your reference in this IC power. There are a lot of similarities between this IC power and other Simple Reset/Power-On Reset products. Specifies a reflow peak temperature of 260 for the package during reflow. During operation, the power ic is supplied with a voltage of 2.5V. A supply voltage of 1 is used to conduct the PMIC chip. The mount is provided by Surface Mount. A IC power such as this can be classified as a Power Management Circuits power management system. 5 pins are present in total in this power management. The pins of the power management system count 5. I should note that the minimum supply voltage (Vsup) for this IC management should be at least 1V, which is the minimum supply voltage that should be applied. During this IC power, the maximum supply voltage (Vsup) should not exceed 5.5V volts. Mounting type Surface Mount is recommended. The temperature of the supervisors should be set to this range: -40°C~125°C TA. During normal operation, this power managment ic can generate Push-Pull, Totem Pole of output voltage. If you want to search for similar IC managements of this manufacturer, you can always refer to LM3723, which is the base power ics number.

LM3723EM5-2.32/NOPB Features

Simple Reset/Power-On Reset type
Minimum supply voltage of 1V

LM3723EM5-2.32/NOPB Applications

There are a lot of Texas Instruments LM3723EM5-2.32/NOPB Voltage Supervisors applications.

• FPGA design
• Linux and server computing
• Stable power system
• Multi-voltage system
• Precision measurement
• Important electronics for automotive protection
• Utility meter
• Electrical fire monitoring system
• Detection of phase imbalance
• Low voltage/high power - AI, GPU