What Determines the Sign Reversal of Magnetoresistance in a Molecular Tunnel Junction?
Thursday, March 15th, 2012Subhasish Mandal
Physics Department
Michigan Technological University
Thursday, March 15, 2012
4:00 pm, Fisher 139
Macromolecular Physics: from Self-assembly to Nanoparticle-cell Surface Interactions
Tuesday, December 13th, 2011
Elena Dormidontova
Case Western Reserve University
Tuesday, December 13, 2011
2:00 pm, Fisher 139
Molecular Syringes
Tuesday, July 19th, 2011
A story on “Nanotech: Injections Or Sampling? New ‘Molecular Syringes’ Under Testing” based on Siegfried Höfinger’s research has been picked up by several news outlets, such as Science Newsline Technology, Nanotechnology Now, and ScienceDaily. Höfinger is a research fellow with the Dipartimento di Chimica “G. Ciamician,” Universita di Bologna, and an adjunct assistant professor with the Department of Physics at Michigan Tech. The research involves free energy calculations of membrane insertion of individual carbon nanotubes and carbon nanotube bundles, published as Siegfried Höfinger, Manuel Melle-Franco, Tommaso Gallo, Andrea Cantelli, Matteo Calvaresi, José A.N.F. Gomes, Francesco Zerbetto. A computational analysis of the insertion of carbon nanotubes into cellular membranes. Biomaterials, 2011; DOI: 10.1016/j.biomaterials.2011.06.011
Michigan Tech Research Magazine 2011
Tuesday, March 1st, 2011Michigan Tech Research Magazine 2011 has three features on physics research this year. Left is Ranjit Pati, whose research team built a molecular computer using lessons learned from the human brain. In the middle are David Nitz and Brian Fick, who are corecipients of Michigan Tech’s 2010 Research Award in the fields of experimental particle physics and ultrahigh energy cosmic rays. On the right are boron nitride nanotubes representing the precision experimental work of Yoke Khin Yap and his research team.
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Lessons from the Brain: Toward an Intelligent Molecular Computer (Pati)
Monday, April 26th, 2010A team of researchers from Japan and Michigan Technological University has built a molecular computer using lessons learned from the human brain.
Physicist Ranjit Pati of Michigan Tech provided the theoretical underpinnings for this tiny computer composed not of silicon but of organic molecules on a gold substrate. “This molecular computer is the brainchild of my colleague Anirban Bandyopadhyay from the National Institute for Materials Science,” says Pati. Their work is detailed in “Massively Parallel Computing on an Organic Molecule Layer,” published April 25 online in Nature Physics.