The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Scalability of interface driven perpendicular magnetic anisotropy (i-PMA) magnetic tunnel junctions (MTJs) has been improved down to 1X node which verifies STT-MRAM for future standalone memory. With developing a novel damage-less MTJ patterning process, robust magnetic and electrical performances of i-PMA MTJ cell down to 15 nm node could be achieved.
In this brief, the problem of sampled-data state estimation for static neural network is investigated. The statefeedback control design method we develop in this paper relies on the information from the sampled states. By constructing a class of Lyapunov function and combining with some inequality, a sufficient condition for the existence of state estimator is derived.
28nm MTJ for 8∼16Gb MRAM device has been successfully integrated with special patterning & etch technique. Resistance (R) separation between high and low R states was 15.2σ, comparable to that for 80nm MTJ cells. Thermal stability factor (Δ) followed prediction fairly well, and MTJ with free layer (FL) of 25Å and aspect ratio (AR) of 3 showed Δ of 56. In order to realize sub-30nm MRAM device,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.