Untitled Document
Not a member yet? Register for full benefits!

Username
Password
 Wizard at circuits, physics

This story is from the category Computing Power
Printer Friendly Version
Email to a Friend (currently Down)

 

 

Date posted: 03/12/2009

Donhee Ham, Gordon McKay Professor of Electrical Engineering and Applied Physics, uses his personal energy and understanding of physics to design innovative integrated circuits.

Once a top physics student who aspired to study black holes, Donhee Ham turned his sights from the huge to the small, from a study of the spacious skies above to tiny quantum wires, transistors, and integrated circuits.

Ham, who was named Gordon McKay Professor of Electrical Engineering and Applied Physics in July, designs silicon chips containing millions of transistors for radios and computers, but his unique skills come out in projects that blend circuit-building with physics for unconventional applications and new scientific pursuits. Ham built the world?s smallest nuclear magnetic resonance (NMR) system by controlling atomic nucleic motions on a silicon chip, for example. The system, 1,200 times lighter than a commercial instrument, can be used as a handheld biomolecule sensor for disease screening, oil detection, and quantum computing.

?He?s using his skill as an electrical engineer to go into other fields and really make an impact,? said Robert Westervelt, Mallinckrodt Professor of Applied Physics and of Physics.

In announcing Ham?s promotion, Cherry Murray, dean of the School of Engineering and Applied Sciences, said Ham?s work at Harvard has helped to boost the School?s presence in electrical engineering. She hailed his ?nearly encyclopedic understanding of physics and solid-state circuits,? which, she said, has led to creative and innovative applications in diverse fields such as biotechnology and medicine.

See the full Story via external site: www.physorg.com



Most recent stories in this category (Computing Power):

19/02/2017: Printable solar cells just got a little closer

04/02/2017: 1,000x more efficient nano-LED offers possibility of faster processors

31/01/2017: For this metal, electricity flows, but not heat

26/01/2017: Google brings AI to Raspberry Pi

12/01/2017: Researchers turn memory chips into processors to speed up computing tasks

08/01/2017: Intel announces Compute Card – A full PC the size of a Credit Card

23/12/2016: Scalable energy harvesting of unused mechanical energy in the environment

28/11/2016: Japan kicks off AI supercomputer project