Machine learning paves the way for smarter particle accelerators

Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of new and improved particle ...

Following ultrafast magnetization dynamics in depth

The future development of functional magnetic devices based on ultrafast optical manipulation of spins requires an understanding of the depth-dependent spin dynamics across the interfaces of complex magnetic heterostructures. ...

Uncovering unexpected properties in a complex quantum material

Anew study describes previously unexpected properties in a complex quantum material known as Ta2NiSe5. Using a novel technique developed at Penn, these findings have implications for developing future quantum devices and ...

High-throughput method of identifying novel materials

Coupling computer automation with an ink-jet printer originally used to print T-shirt designs, researchers at Caltech and Google have developed a high-throughput method of identifying novel materials with interesting properties. ...

Observing quantum coherence from photons scattered in free-space

Quantum coherence is a key ingredient of many fundamental tests and applications in quantum technology, including quantum communication, imaging, computing, sensing and metrology. However, the transfer of quantum coherence ...

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