A strain-sensing smart skin developed at Rice University (Houston, Texas) that uses very small structures, carbon nanotubes, to monitor and detect damage in large structures is ready for prime time. The “strain paint” first revealed by Rice in 2012 uses the fluorescent properties of nanotubes to show when a surface has been deformed by stress.
AIXTRON SE (Herzogenrath, Germany) will ship a new Close Coupled Showerhead (CCS) deposition system to the University of Texas at Austin, Microelectronics Center (MRC), Department of Electrical and Computer Engineering.
AUO (Hsinchu, Taiwan) has been recognised by the Manufacturing Leadership Awards (MLA) in categories of Digital Network Connectivity as well as AI and Machine Learning, and especially honoured the High Achiever in Sustainability and the Circular Economy category by the National Association of Manufacturers (NAM) in the US. Drawing up on its years of experience in smart manufacturing and digital transformation, AUO combined AIoT, digital IoT and data analytics technologies to build a machine doctor for carrying a comprehensive health exam of factories. Appling its wealth of green manufacturing expertise to transform old factories into sustainable smart factories, AUO successfully won the international recognitions.
