BIT to Establish Chongqing Microelectronics & Innovation Centers

Beijing Institute of Technology (BIT) has signed a cooperation agreement with Chongqing Xiyong Comprehensive Bonded Zone and Liangjiang New District to establish two major research facilities: BIT Chongqing Microelectronics Center and BIT Chongqing Innovation Center.

BIT Microelectronics Center will be jointly built by BIT and Chongqing Xiyong Microelectronics Industrial Park. Approved as a national key lab, the center will focus on silicon light technology and photoelectric components, integrated circuit (IC) design, high-performance core electronic components, and silicon-based high-speed systems-on-chip (SoCs).

The Innovation Center will focus on advanced manufacturing, new energy vehicles, next-generation information technology, artificial intelligence (AI), big data, and advanced materials. Plans for 50 incubation projects are under way.

Chongqing Xiyong Microelectronics Industry Park is now home to a complete IC industry chain of chip design, manufacturing, packaging and test. Production recently launched at the site includes CR Micro’s 8- and 12-inch IC lines, Analog Foundries’ 6-inch IC line, and SK Hynix’s 12-inch packaging fab.


Naura Increased Net Profits by 86.05% in 2018

Naura has announced strong 2018 financial results. Total revenue was 3.324 billion yuan, with year-on-year (YoY) growth of 49.53%. Net profits reached 234 million yuan, an 86.05% increase over the prior year.

Naura focuses on two business units: electronic process equipment and electronic components. Equipment is the main revenue source; in 2018, equipment revenues were 2.512 billion yuan, with YoY growth of 75.68%. Revenue for components was 788 million yuan, a slight growth of 3.23% YoY.

Naura’s semiconductor equipment offerings include etch, chemical vapor deposition (CVD) and plasma vapor deposition (PVD) systems, oxidation/diffusion furnaces, cleaning machines and gas mass flow controllers. Its 28nm systems are in capacity supply, with 14nm systems currently in customer validation.