Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of electron flow in tricky materials. ​Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve …

This Algorithm Just Solved One of Physics’ Most Infamous Problems Read More »

Researchers have cracked a fundamental optical challenge: how to control both angle and wavelength of light independently—a problem that’s limited imaging and display technologies for years. By harnessing the power of radiation directionality and engineering bilayer metagratings with unique symmetry properties, they’ve decoupled these two variables for the first time. Their precise nanofabrication techniques allow …

One tiny trick just broke light’s oldest rule — and changed optics forever Read More »

Scientists in China have developed a precise method to grow titanium dioxide nanorod arrays with controllable spacing, independent of rod size. This innovation boosts solar cell efficiency by allowing light capture and charge movement to be fine-tuned. ​Scientists in China have developed a precise method to grow titanium dioxide nanorod arrays with controllable spacing, independent …

New Nanotech Boosts Solar Cell Efficiency Over 10% Read More »

A new leap in lab automation is shaking up how scientists discover materials. By switching from slow, traditional methods to real-time, dynamic chemical experiments, researchers have created a self-driving lab that collects 10 times more data, drastically accelerating progress. This new system not only saves time and resources but also paves the way for faster …

This AI-powered lab runs itself—and discovers new materials 10x faster Read More »

The tendency for AIs to give misleading answers may be in part down to certain training techniques, which encourage models to prioritise perceived helpfulness over accuracy ​The tendency for AIs to give misleading answers may be in part down to certain training techniques, which encourage models to prioritise perceived helpfulness over accuracy The tendency for AIs …

The way we train AIs makes them more likely to spout bull Read More »