Recent News and Events

Cells that are electrically active and that also produce light for easy voltage monitoring could lead to new studies of heart arrhythmias and possibly bio-computing.


We may have glimpsed liquid hydrogen abruptly changing into metallic hydrogen, which is the same stuff in the core of Jupiter. But how and when does this transition from gas to liquid metal occur? How does it behave?... Continue reading the article by Leah Burrows: Unveiling Jupiter’s Mysteries.


While the novel theory may never live up to the early hype, its innovative tools have helped scientists for decades, and the best may be yet to come. (Read the overview of the history of string theory by Steve Nadis: Discover Magazine, June 14, 2016.)


Prof. Paul Martin
Paul C. Martin, the John Hasbrouck Van Vleck Professor of Pure and Applied Physics, Emeritus, and former dean of the Harvard Division of Applied Sciences, passed away on June 19.


Prof. Ashvin Vishwanath
Prof. Ashvin Vishwanath, together with four colleagues, has been awarded the 2016 European Physical Society Condensed Matter Division Europhysics Prize "for the theoretical prediction, the experimental discovery and the theoretical analysis of a magnetic skyrmion phase in MnSi, a new state of matter"...


Harvard Physics and JILA cientists propose a space-based gravitational wave detector consisting of two spatially separated, drag-free satellites sharing ultra-stable optical laser light over a single baseline. Each satellite contains an optical lattice atomic clock, which serves as a sensitive, narrowband detector of the local frequency of the shared laser light...


Sidney Coleman's photo
Prof. Howard Georgi reminisces about Sidney Colman's Harvard years...


Hawking, Perry, and Strominger suggest that black holes might have "soft hair," low-energy quantum excitations that release information when the black hole evaporates.


Large, bilayer graphene single crystals can be grown by oxygen-activated chemical vapour deposition...


The relation between structure and dynamics in glasses is not fully understood. A new approach based on machine learning now reveals a correlation between softness - a structural property - and glassy dynamics...


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