Rzeszut, P., Chȩciński, J., Brzozowski, I. et al. Multi-state MRAM cells for hardware neuromorphic computing. Sci Rep 12, 7,178 (2022). https://doi.org/10.1038/s41598-022-11199-4
Logic operations and reconfigurable circuits are demonstrated that can be directly implemented using memory elements based on floating-gate field-effect transistors with monolayer MoS2 as the active channel material.
Since the most advanced nodes in silicon are reaching the limits of planar integration, 2D materials could help to advance the semiconductor industry. With the potential for use in multifunctional chips, 2D materials offer combined logic, memory and sensing in integrated 3D chips.
Transistors are semiconductor devices that regulate current, amplify signals, and act as switches, forming the foundation of modern electronics.
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Pasqal reported the successful loading of over 1,000 atoms in a single shot within their quantum computing setup.
Heat facilitates electrical resistance switching in Mott insulators and can synergistically enhance neuromorphic computing.
Daiki Nishioka and colleagues show a nanodevice implementation of deep reservoir computing using an ion-gating reservoir, achieving record-low error rates on a complex computational task. This device is more efficient and scalable for brain-like computing systems exploiting physical systems.
Chiral molecules—that is, those that have mirror images of themselves—have significant benefits for transistors and solar energy devices. Studying their properties in close detail, though, has been tricky due to the limited methods for doing so.
