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STM32L431RCT6 How-To Guide: Design with the 80 MHz Cortex-M4 MCU
STM32L431RCT6 how-to: 80 MHz Cortex-M4 MCU with 256 KB Flash, 64 KB SRAM, 1.71-3.6V, 64-LQFP. Design battery-powered IoT nodes with verified specs.
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Expert insights on electronic components, semiconductor trends, and engineering best practices.
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STM32U585RGT6 How-To Guide: Ultra-Low-Power Cortex-M33 MCU Design
STM32U585RGT6 how-to: 160 MHz Cortex-M33 MCU with 2 MB Flash, 786 KB SRAM, LQFP64 pinout, TrustZone and LPBAM. Verified specs, design tips, drop-in replacements.
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STM32F411CEU6 How-To: Design a 100 MHz Cortex-M4F Embedded System
STM32F411CEU6 100MHz Cortex-M4F with 512KB flash, 128KB SRAM, UFQFPN-48. How-to covers pinout, power design, IoT solutions, pricing $4.16 as of 2026-08-19.
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STM32F411CEU6: The Definitive Guide to the 100 MHz Cortex-M4F MCU
The STM32F411CEU6 is a 100 MHz ARM Cortex-M4F MCU with 512 KB flash, 128 KB SRAM, and USB OTG FS in a 48-pin UFQFPN package. Available now at $4.16 (1000+).
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Chip Industry Technical Paper Roundup: Aug. 18 - XAIPART Summary
Semiconductor Engineering's Aug. 18 roundup covers 2D CFET scaling, PIM chiplet voltage-droop control, advanced-node layout repair, lithography defect prediction, 3D-IC failure analysis, chiplet/interposer optimization, and 4H-SiC wafer slicing.
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K4B4G1646D-BMK0: Samsung 4Gb DDR3L SDRAM β Specs, Design Guide, and Alternatives
The Samsung K4B4G1646D-BMK0 is a 4Gb DDR3L SDRAM (256M x 16) operating at 1600 Mbps and 1.35V, with an industrial temperature range of -40Β°C to 95Β°C. It is available in a 96FBGA package and is RoHS compliant. As of 2026-08-18, it is in stock at XAIPART with 99,999 units available.
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STM8AF5289TCY: 8-Bit Automotive MCU with 128KB Flash - XAIPART Summary
STMicroelectronics' STM8AF5289TCY is an AEC-Q100 qualified 8-bit MCU with 24 MHz core, 128 KB Flash, 6 KB RAM, 2 KB EEPROM, and LIN/SPI/I2C/UART interfaces for automotive body control and motor control.
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TDK, LG Innotek Collaborate on Physical AI Solutions - XAIPART Summary
TDK and LG Innotek partner to develop sensing technologies for physical AI, focusing on vision and tactile sensing modules for humanoid robots.
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