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Van Dai Nguyen

Publications and source records attributed to Van Dai Nguyen.

3 recordsLinked to original sources

Synaptic Multi-Weight Wafer-Scale Domain Wall Magnetic Tunnel Junctions Driven by Spin Orbit Torque

Spintronic synaptic devices based on magnetic random access memory (MRAM) are a rapidly evolving class within the analog neuromorphic architecture. However, obtaining the multi-weight or analog behavior desired for improved neural network inference accuracy in scaled MRAM remains a challenge. In this study, we demonstrate and tune up to eight distinct resistance levels in 300 mm wafer-scale magnetic tunnel junction artificial synapses driven by spin orbit torque. By varying the applied in-plane field, multi-weight resistance states emerge through domain wall nucleation and pinning. These multi-weight states appear stochastically and can be addressed with an iterative programming algorithm to program a specific resistance. Electromagnetic simulations indicate the multiple states are due to domain wall nucleation mediated by in-plane field and applied voltage. Implementation of the measured multi-weight devices in a neural network yields a 96.1% inference accuracy using the MNIST dataset if all devices provide the same number of multi-weight states. When experimental device-to-device variation is included, the accuracy is 48.6%. Overall, this work demonstrates a route towards multi-weight artificial synapse MRAM, establishing a path towards scalable neuromorphic systems based on spintronics.

cond-mat.mes-hall↗

SOT-MRAM Bitcell Scaling with BEOL Read Selectors: A DTCO Study

This work explores the cross-node scaling potential of SOT-MRAM for last-level caches (LLCs) under heterogeneous system scaling paradigm. We perform extensive Design-Technology Co-Optimization (DTCO) exercises to evaluate the bitcell footprint for different cell configurations at a representative 7 nm technology and to assess their implications on read and write power-performance. We crucially identify the MTJ routing struggle in conventional two-transistor one-resistor (2T1R) SOT-MRAMs as the primary bitcell area scaling challenge and propose to use BEOL read selectors (BEOL RSs) that enable (10 -- 40) % bitcell area reduction and eventually match sub-N3 SRAM. On writability, we affirm that BEOL RS-based bitcells could meet the required SOT switching current, provided the magnetic free layer properties be engineered in line with LLC-specific, (0.1 -- 100) s retention targets. This is particularly to attribute to their (i) more available Si fins for write transistor and (ii) lower bitline resistance at reduced cell width. We nevertheless underscore the read tradeoff associated with BEOL RSs, with the low-drive IGZO-FET selector sacrificing the latency up to (3 -- 5) ns and the imperfectly rectifying diode selectors suffering (2.5 -- 5)$\times$ energy cost relative to 2T1R. This article thus highlights the realistic prospects and hurdles of BEOL RSs towards holistic power-performance-area scaling of SOT-MRAM.

cs.ET↗

Manipulating domain wall chirality by current pulses in Permalloy/Ir nanostrips

Using magnetic force microscopy and micromagnetic simulations, we studied the effect of Oersted magnetic fields on the chirality of transverse magnetic domain walls in Fe$_{20}$Ni$_{80}$/Ir bilayer nanostrips. Applying nanosecond current pulses with a current density of around $2\times10^{12}$ A/m$^2$, the chirality of a transverse domain wall could be switched reversibly and reproducibly. These current densities are similar to the ones used for current-induced domain wall motion, indicating that the Oersted field may stabilize the transverse wall chirality during current pulses and prevent domain wall transformations.

cond-mat.mtrl-sci↗