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QUEFORMAL aims to create a new technology for machine learning by integrating low-voltage transistors and non-volatile memories using two-dimensional materials. The project focuses on developing devices that combine these elements for efficient logic-in-memory circuits.
We propose the radical vision of a new integrated circuit technology for machine learning where low-voltage field-effect transistors and non-volatile memories are integrated next to each other exploiting quantum engineering of
heterostructures of two-dimensional materials (2DMs), i.e. the atom-by-atom design and fabrication of devices which combine vertical and lateral heterostructures (VH and LH, respectively) of 2DMs.QUEFORMAL pursues a very risky and original
proposed solution, with the extre…
UNIVERSITA DI PISA
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