SOURCE-LINKED INTELLIGENCE

Curvilinear multiferroics

CORDIS · observation · Publication date unknown

Curvilinear multiferroics Disruptive development of brain-inspired computing, machine learning and deep neural networks for electronic assistants in smartphones, autonomous driving systems or chatGPT require new logic and storage concepts, which are beyond conventional von Neumann computer architectures. Materials known as multiferroics are identified as key enablers of these technologies. In contrast to ferromagnets, where the magnetic state is controlled by magnetic fields (energy inefficient due to flowing currents), magnetoelectric multiferroics allow manipulation of magnetic states by electric fields. The great promise of multiferroic materials towards energy efficient computing is compromised by the limited material portfolio. Literally, after decades of research, we have only one multiferroic (i.e. BiFeO3) potentially promising for room temperature spintronic devices. Even this most advanced material meets challenges outperforming state-of-the-art CMOS elem

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award

status

SIGNED

region

EU

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2500000

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EUR