A dive into the “almost magical” potential of photonic crystals
In MIT’s 2025 Killian Lecture, physicist John Joannopoulos recounts highlights from a career at the vanguard of photonics research and innovation.
In MIT’s 2025 Killian Lecture, physicist John Joannopoulos recounts highlights from a career at the vanguard of photonics research and innovation.
A decade of studies provide a growing evidence base that increasing the power of the brain’s gamma rhythms could help fight Alzheimer’s, and perhaps other neurological diseases.
The Institute also ranks second in seven subject areas.
McGovern Institute researchers develop a mathematical model to help define how modularity occurs in the brain — and across nature.
New results show with high statistical confidence that ozone recovery is going strong.
Enhancing activity of a specific component of neurons’ “NMDA” receptors normalized protein synthesis, neural activity, and seizure susceptibility in the hippocampus of fragile X lab mice.
At an MIT-led event at AJAS/AAAS, researchers connect with MIT faculty, Nobel laureates, and industry leaders to share their work, gain mentorship, and explore future careers in science.
New methods light up lipid membranes and let researchers see sets of proteins inside cells with high resolution.
Undergrads sweep Putnam Fellows for fifth year in a row and continue Elizabeth Lowell Putnam winning streak.
The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
Rhombohedral graphene reveals new exotic interacting electron states.
Stefani Spranger is working to discover why some cancers don’t respond to immunotherapy, in hopes of making them more vulnerable to it.
Markey Freudenburg-Puricelli; Christina Kim ’24; Abigail Schipper ’24; Sera Tolgay MCP ’18, SM ’18; and Rachel Zhang ’21 will pursue graduate studies at Cambridge University in the U.K.
New research adds evidence that learning a successful strategy for approaching a task doesn’t prevent further exploration, even if doing so reduces performance.
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.