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Machine learning enhances X-ray imaging of na

Using a combination of high-powered X-rays, phase-retrieval algorithms and machine learning, Cornell researchers revealed the intricate nanotextures in thin-film materials, offering scientists a new, streamlined approach to analyzing potential candidates for quantum computing and microelectronics, among other applications.

Machine learning enhances X-ray imaging of nanotextures

Researchers Discover a Strategy to Switch the Magnetization in Thin Layers of Ferromagnet

Holding the right material at the right angle, Cornell researchers have discovered a strategy to switch the magnetization in thin layers of a ferromagnet – a technique that could eventually lead to the development of more energy-efficient magnetic memory devices.

Mechanism splits electron spins in magnetic material

Mechanism splits electron spins in magnetic material
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