State-of-the-art toolset will bridge academic innovations and industry pathways to scale for semiconductors, microelectronics, and other critical technologies.

Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.

A Lincoln Laboratory team visited Hill Air Force Base in Utah to determine how susceptible the latest-generation mobile network is to detection, geolocation, and jamming.

Professor of physics will use US Department of Defense fellowship to study quantum science with ultracold atoms.

Through the Multidisciplinary University Research Initiative, the US Department of Defense supports research projects in areas of critical importance to national defense.

MIT’s Science Policy Initiative sends students and postdocs to Capitol Hill to advocate for continued and increased federal support for scientific research.

A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.

The advanced research and prototyping facility will yield complex, integrated microelectronic components to enable scientific discovery and solve national security challenges.

MIT-led research team fashions graphene foam into device that can extract uranium and other heavy metals from tap water.

How 3D-printed models of neuronal axons could accelerate development of new therapies to treat neurodegenerative disorders.