Study finds exoplanet TRAPPIST-1e is unlikely to have a Venus- or Mars-like atmosphere
Astronomers led by EAPS postdoc Ana Glidden ruled out several atmospheric scenarios for the planet, narrowing ideas of what habitability there might look like.
Astronomers led by EAPS postdoc Ana Glidden ruled out several atmospheric scenarios for the planet, narrowing ideas of what habitability there might look like.
An international collaboration of neuroscientists, including MIT Professor Ila Fiete, developed a brain-wide map of decision-making at cellular resolution in mice.
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
New findings could help manufacturers design gels, lotions, or even paving materials that last longer and perform more predictably.
A commitment from longtime supporters Patricia and James Poitras ’63 initiates multidisciplinary efforts to understand and treat complex psychiatric disorders.
The sPHENIX detector is on track to reveal properties of primordial quark-gluon plasma.
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
MIT researchers designed an electrolyte that can break apart at the end of a battery’s life, allowing for easier recycling of components.
Mariya Grinberg’s new book, “Trade in War,” examines the curious phenomenon of economic trade during military conflict.
Researchers developed an approach to study where proteins get made, and characterized proteins produced near mitochondria, gaining potential insights into mitochondrial function and disease.
By directly imaging material failure in 3D, this real-time technique could help scientists improve reactor safety and longevity.
The IECP will generate rigorous evidence for fair and effective public safety solutions.
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.