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ITRI Receives Eight 2017 R&D 100 Awards

Published: Nov 20,2017

HSINCHU, Taiwan – The Industrial Technology Research Institute (ITRI), Taiwan’s largest high-tech applied research institutions, received eight 2017 R&D 100 Awards and one inaugural R&D 100 Special Recognition Award on November 17 in Orlando, Florida.

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ITRI’s technologies were selected as winners for innovation in the IT/Electrical, Mechanical/Material, Process/Prototyping, and Software/Services categories, and its LCD Waste Recycling System also received an R&D 100 Special Recognition Award in Green Tech. ITRI is currently seeking partnerships with global companies that will bring these innovative, patented R&D 100 Award-winning technologies to market.

“When you come here, you made a great impact,” R&D Magazine Editorial Director Bea Reimschneider commented on ITRI’s participation in R&D 100 Awards. “It’s important to look at legacy for your company and to let people here understand what you do at ITRI as well,” she said.” “Various national labs here and American companies are fascinated to see how much you are offering and that you are absolutely bringing along.”

“It’s been the tenth year since ITRI first won the R&D 100 Awards. This year we were thrilled that we won across four different categories and that our four finalists in the Software/Service category were all awarded, which is truly a recognition of our efforts in integrating software and hardware,” said Dr. Jonq-Min Liu, President of ITRI.

Since 2008, ITRI has received 36 R&D 100 Awards for its outstanding contributions toward innovating a better future for society and pushing the boundaries of what is possible. Many of ITRI’s winning technologies have been licensed and commercialized through industry partners. Other R&D 100 Awards recipients this year include Los Alamos National Laboratory, Oak Ridge National Laboratory, and the Dow Chemical Company.

The award-winning products including:

CoolSo (IT/Electrical) , a wearable gesture input device, improves user immersive experience with VR/AR products, where fast and high-precision gesture technology is imperative for game interaction.

ChemSEI-Linker (Mechanical/Material) , a composite material, paste and linking material applied to lithium battery electrodes, increases battery life up to 70 percent and makes lithium batteries easier to recycle.

The LCD Waste Recycling System (Mechanical/Material & Special Recognition in Green Tech) , is a zero-waste, eco-friendly, and cost-effective total solution for waste LCD panels treatment. It solves the difficult problem of separating three main components of LCD panels—liquid crystal, indium, and glass—and recycling each component for future use.

CINmat (Process/Prototyping) , a multi-mode microwave annealing technology, solves the dopant diffusion issue of 12-inch wafers in the 5-nm semiconductor process, achieves dopant activation at lower temperatures (< 500˚C) in the front end of line (FEOL), and reduces annealing process cost by 85 percent. ITRI collaborated with National Chiao Tung University and National Nano Device Laboratories in developing CINmat.

BESTAI (Building Energy Simulation Technology with Artificial Intelligence) (Software/Services) , an artificially intelligent simulator, allows non-specialists to analyze building energy use and obtain high return on energy efficiency investments.

CyberEpi (Software/Services) , a simulation software suite, optimizes epitaxial process parameters and MOCVD equipment design parameters to reduce time, improve productivity and yield in the production of light-emitting diodes (LEDs), solar cells, wireless communications devices, and high-power integrated circuits.

Power and Thermal-Aware Electronic System Level Platform (PT-ESL) (Software/Services) is an architectural level modeling and simulation solution for efficiently analyzing power consumption, performance bottlenecks, and thermal hotspots of electronic systems and semiconductor devices, enabling 25 percent shorter time to market and 30-to-70 percent lower power consumption and heat dissipation.

Prognostic and Health Management Software in Semiconductors (PHM) (Software/Services) uses AI-based machine learning algorithms to create the world’s first successful fault prognosis system to predict equipment failure and component wear in semiconductor manufacturing, machinery, medicine, and power sectors.

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