Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.

The technique opens possibilities for exploring exotic states of matter and building new quantum materials.

Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.

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.