This issue of Microelectronics TOE covers recent developments in millimeter wave, printed memory, and data band width allocation. Innovations profiled include self-learning devices by Centre National de la Recherche Scientifique (CNRS), a silicon photodetector for high-speed data transfer by the University of California Davis, quicker page loads with better bandwidth allocation by the Massachusetts Institute of Technology (MIT), a millimeter wave (mmwave) system for autonomous vehicles by the Shanghai Jiao Tong University, and a fully printed memory device by the Duke University.
The Microelectronics TechVision Opportunity Engine (TOE) captures global electronics-related innovations and developments on a weekly basis. Developments are centred on electronics attributed by low power and cost, smaller size, better viewing, display and interface facilities, wireless connectivity, higher memory capacity, flexibility and wearables. Research focus themes include small footprint lightweight devices (CNTs, graphene), smart monitoring and control (touch and haptics), energy efficiency (LEDs, OLEDs, power and thermal management, energy harvesting), and high speed and improved conductivity devices (SiC, GaN, GaAs).
Miniaturization, a move toward lower power consumption, and the need for enhanced features are driving innovations in the electronics sector. Technology focus areas include semiconductor manufacturing and design, flexible electronics, 3D integration/IC, MEMS and NEMS, solid state lighting, advanced displays, nanoelectronics, wearable electronics, brain computer interface, advanced displays, near field communication, and next generation data storage or memory.
Keywords: Millimeter wave, MMW, autonomous car, high-speed data transfer, bandwidth allocation, self-learning, printed memory