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How to Make (Almost) Anything

October 19, 2014

The Harvard Physics Teaching Lab is hosting a section of a course taught by Neil Gershenfeld (MIT) and offered jointly at MIT and Harvard, "How to Make (Almost) Anything." The Harvard section is comprised of five women and eleven men from across the campus, including students and staff from Physics, SEAS, GSD, and other departments.

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Hoffman, Kim, Yacoby receive 2014 Moore Foundation Experimental Investigator Award in Emergent Phenomena in Quantum Systems

September 30, 2014
Moore Foundation

The Gordon and Betty Moore Foundation, after a national competition, has selected nineteen Moore Experimental Investigators in Emergent Phenomena in Quantum Systems, among them three Harvard Physics professors: Jenny Hoffman, Philip Kim, and Amir Yacoby.

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A New Way to Improve Efficiency of Solar Cells by Overcoming Exciton 'Traps'

September 24, 2014
Phase diagram of exciton topological phases

Phase diagram of exciton topological phases: a,b, Diagrams for the upper and lower energy exciton Hamiltonians (v = L, U), respectively. Light and dark blue regions denote topologically non-trivial phases with Chern number equal to − 1 and 1, exhibiting edge states with anticlockwise and clockwise exciton currents, respectively. Switching the direction of the magnetic field to Bz

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Scaling Macroscopic Aquatic Locomotion

September 17, 2014
Aquatic swimming

Aquatic swimming: a,The organisms considered in the article span eight orders of magnitude in Reynolds number and encompass larvae (from mayfly to zebrafish), fish (from goldfish, to stingrays and sharks), amphibians (tadpoles), reptiles (alligators), marine birds (penguins) and large mammals (from manatees and dolphins to belugas and blue whales). Blue fish sketch by Margherita Gazzola. b, Swimmer of length L is propelled forward with velocity U by pushing a bolus of water14, 20, 24 through body undulations characterized by tail beat amplitude A and frequency ω.

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How the Cerebral Cortex Got Its Folds

August 22, 2014
figure 3

Known empirical scaling laws for gray-matter volume and thickness are mapped on a g2 vs. R/T diagram. Corresponding simulations for spherical brain configurations, with images shown at a few points, show that the surface remains smooth for the smallest brains, but becomes increasingly folded as the brain size increases. [From T. Tallinen, J.Y. Chung, J.S. Biggins, and L. Mahadevan, "Gyrification from constrained cortical expansion," PNAS 2014 | doi:10.1073/pnas.1406015111]

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