Study finds many climate-stabilization plans are based on questionable assumptions about the future cost and deployment of “direct air capture” and therefore may not bring about promised reductions.
A newly characterized anti-viral defense system in bacteria aborts infection through a novel mechanism by chemically altering mRNA.
MIT engineers’ algorithm may have wide impact, from forecasting climate to projecting population growth to designing efficient aircraft.
Novel method to scale phenotypic drug screening drastically reduces the number of input samples, costs, and labor required to execute a screen.
Models show that an unexpected reduction in human-driven emissions led to a 10 percent decline in atmospheric mercury concentrations.
Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.
Today’s regulations for nuclear reactors are unprepared for how the field is evolving. PhD student Liam Hines wants to ensure that policy keeps up with the technology.
Professor Ronald Prinn reflects on how far sustainability has come as a discipline, and where it all began at MIT.
An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.
Thomas Varnish has always loved a hands-on approach to science. Research in lab-based astrophysics has enabled the PhD student to experiment in a heavily theoretical subject.
Through academia and industry, Gevorg Grigoryan PhD ’07 says there is no right path — just the path that works for you.
A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.
As part of his MIT doctoral studies in nuclear science and engineering, Eli Sanchez investigated whether hypersonic missiles threaten global security.
Sunspots and flares could be a product of a shallow magnetic field, according to surprising new findings that may help scientists predict space weather.
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.