Myfab Uppsala

The Ångström Laboratory is a powerful environment for a broad spectrum of materials science. Myfab Uppsala is the core facility, providing advanced process and analysis tools for micro- and nanotechnology. In the Myfab cleanroom, the entire sequence from realization to evaluation is available under one roof. We provide an open user facility for university and industry personnel active in research or development.


The lab staff is responsible for the lab operation, such as: 

- cleanroom infrastructure
- equipment maintenance
- user education, training and support
- development and control of processes and methods
- commissions for internal and external customers

Myfab Uppsala is a state-of-the-art laboratory and a competent organization that provide a link between university research and industrial development.

 

Highlights

Semi-conductor technology from Chalmers on board first Arctic weather satellite

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Peter Modh
/ Categories: Myfab Chalmers

With only 125 kilos in weight - and as small as the size of a dishwasher - the first Arctic Weather Satellite, AWS, has successfully been launched with the mission to provide better weather forecasts for the Arctics, a region severely affected by climate change. The small satellite is equipped with a 19-channel cross-track microwave radiometer using semi-conductor technology fabricated at Chalmers University of Technology.  

The new Arctic weather satellite, AWS, was lofted into orbit on 16 August at 20:56 CEST aboard a SpaceX Falcon 9 rocket from the Vandenberg Space Force Base in California, just north of Los Angeles. About six hours later, the KSAT ground station in Svalbard, Norway, received the all-important signal indicating the satellite’s safe arrival in orbit.

With a mission to collect important data on moisture and temperature levels in the Earth's atmosphere, and measure the amount of ice in clouds, the satellite is sent off to enhance our understanding of the weather conditions at the poles. The clouds, and what happens inside them, are important parameters when trying to predict climate change.
 

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