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A two-dimensional array of nanowires, embedded in a semi-insulating medium, can elicit powerful computational and signal processing activity if the nanowires exhibit an N-type non-linearity in their current versus voltage characteristics. Such a system is relatively easy to self assemble using chemical routes and we have synthesized such systems using simple electrochemistry. The measured current–voltage...
Probabilistic machine intelligence paradigms such as Bayesian Networks (BNs) are widely used in critical real-world applications. However they cannot be employed efficiently for large problems on conventional computing systems due to inefficiencies resulting from layers of abstraction and separation of logic and memory. We present an unconventional nanoscale magneto-electric machine paradigm, architected...
Nanomagnetic logic has emerged as a promising alternative to transistor based logic because it offers both non-volatility and energy-efficiency. Recent experiments by Bhowmik et al. [1] demonstrate energy-efficient magnetization switching in nanomagnets using the Spin Hall effect. Another switching paradigm claiming unprecedented energy-efficiency involves magnetization switching of the nanomagnets...
Recently, nanomagnetic logic has emerged as a promising alternative to transistor based logic because it offers both non-volatility and energy-efficiency. In particular, if the switching of the nanomagnets employs “straintronics” [1], whereby the magnetization of a multiferroic magnet is switched with a tiny voltage generating strain in a magnetostrictive-piezoelectric composite, the energy dissipated...
We have theoretically shown that multiferroic nanomagnets (consisting of a piezoelectric and a magnetostrictive layer) could be used to perform computing while dissipating ∼ few 100 kT/bit at clock rates of ∼1GHz [1,2,3]. They can act as memory elements [2], binary logic gates [3, 4] and associative memory for four state logic [5, 6]. The latter enables signal processing functions such as ultrafast...
Excessive energy dissipation during switching of logic and memory bits is the primary impediment to continued downscaling of electronic devices predicted by Moore's law. Nanomagnetic logic and memory switches are innately more energy-efficient than electronic switches because of correlated switching of spins that does not happen when charges are “switched” by moving them into and out of a transistor's...
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