Observing the depths of a living brain with clarity has traditionally required expensive, high-end equipment. However, a KAIST research team has advanced neuroscience research by developing a physics-based AI computational algorithm that restores blurred images into sharp ones without the need for additional optical measurement hardware.

A new theoretical study explains why photon‑tagged jets show a broadening of their angular structure in lead‑lead collisions at the Large Hadron Collider, while inclusive jets appear narrower. The work demonstrates that photon‑tagged jets significantly reduce selection biases and are more effective at capturing the true medium‑induced modifications of jets traversing the hot, dense quark‑gluon plasma.

A new theoretical study shows that the scientific payoff of future neutron-star radius measurements may be highly nonlinear: improving the uncertainty from 1.0 km to 0.5 km yields only modest gains, but pushing it to 0.2 km sharply narrows the allowed behavior of dense matter. The results suggest that next-generation X-ray and gravitational-wave observations could decisively improve constraints on how matter behaves deep inside neutron stars.

A UCLA-led international research collaboration unveiled a new technology that may help scientists better understand how small molecules, including many drugs, bind to proteins. The invention works with an existing lab method called photo-crosslinking. Leaving behind a clean, uniform chemical signature, the technology allowed the team to directly compare how different molecules compete for the same binding site on a protein, all in a single experiment. Because most small-molecule drugs act by binding to specific protein targets, finding precisely where these molecules bind is a major benefit for drug discovery.

A new Harvard study describes a way to process natural rubber that preserves its long molecular chains while mixing in strength-endowing particles.

A Harvard team built a chip-scale lithium niobate UV light source that generates 120 times more power than previous approaches, paving the way for practical uses.

Harvard researchers built a swarm of simple ant-like robots (RAnts) that can collectively excavate and construct structures without central control. Their experiments show that adaptive group behavior can emerge from the interaction between many simple agents and their environment, with potential applications in many fields. 

This discovery advances the decade-long debate on the physics of disorder and opens the way to new applications, from electronics to pharmaceuticals. The research work was carried out by the Department of Physics in collaboration with other European research institutions and published in Physical Review X