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Penn researchers built exciton-polaritons enabling all-optical switching at 4 quadrillionths of a joule, promising low-energy AI computing and quantum-ready photonic chips.

Scientists have developed a fast, room-temperature method to rearrange thousands of atoms deep within crystals, opening the way for custom quantum materials that work outside the lab.

Researchers have built and tested the first light-field camera system capable of ultrafast, high-resolution three-dimensional imaging of particle interactions inside big blocks of scintillator material for neutrino detection.

Tabletop experiment mimics ringdown waves and photon sphere modes to enable controlled study of extreme gravitational effects.

Physics-informed artificial intelligence prevents molecular breakdown and supports longer, more reliable simulations for chemistry research.

Stable optical frequency combs generated via hyperparametric solitons could improve efficiency in high-speed communications.

New device combines memory and processing using precise hydrogen ion movement to mimic brain synapses in a compact stacked design for efficient computing.

Computer models now match experiments on particle flow in tokamaks, aiding better designs for future power plants.

Researchers discover a stable three-dimensional substance that could enable graphene-like performance in large-scale green computing without fragility issues.

Penn State researchers develop a method called ZENN that helps artificial intelligence adapt to differences in data quality for better scientific discoveries.