In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network quantum Monte Carlo methods have attracted attention as highly accurate ...

Researchers at Columbia University Mailman School of Public Health, in collaboration with investigators at the University of Chicago, have developed a new computational framework that helps scientists ...

A look back at the history of density functional theory explores why the idea was slow to be adopted in chemistry.

Developing new materials to tackle pressing global issues is a gap-filled process that can leave potential climate solutions lost in unread academic papers and forgotten dissertations.

This important study provides new insight into how frontostriatal circuits encode elapsed time and exhibit decision-related dynamics during an auditory change-detection task. Analyses of ...

This important study investigates whether perceived gender is represented in the brain in a category-invariant manner across faces, bodies, and objects, identifying the right middle temporal gyrus ...

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

Volkan Isler, professor in the Department of Computer Science and a core faculty member of Texas Robotics is leading SAFE-BOLT (Safety-Assured Force-Aware Execution for Bimanual Operations on Lab ...

Scientists used a new error correction method to encode 70 logical qubits and solve a problem that is intractable for classical computers. The quantum computation ...

Jomon genomics reveal cold adaptation in Upper Paleolithic hunter-gatherers of eastern Eurasia The integration of synaptic inputs is a fundamental function of neurons. In the traditional model, ...