A low‐complexity low‐power multi‐mode quasi‐cycle low‐density parity check decoder architecture for 60‐GHz Gbit wireless communication is presented. A novel, dynamic column shifting scheme is introduced for a multi‐mode architecture that provides a low complexity and fixed throughput across all rates. Novel low‐complexity local switch architecture and its control values are described to implement the dynamic shifting scheme. Post‐layout results show that the proposed architecture has low power consumption at high throughputs. It reduces about 57% memory and 31% area requirement compared to previously reported architecture.

Yttria-stabilized zirconia (YSZ) has been used and studied as a catalyst material for the direct partial oxidation of methane into methanol using dielectric barrier discharge (DBD). The methanol synthesis process occurred at ambient temperature and atmospheric pressure. It showed that YSZ has an activity to increase the production of methanol. It was twice as high in methanol selectivity than non-catalytic plasma process. The YSZ catalyst also showed better performance compared to other common catalyst supports, e.g., carbon, Al 2 O 3 , TiO 2 , and SiO 2 . Instead of methanol, the reaction products of plasma reactions were dominated by H 2 , CO, CO 2 , C 2 , and water. The optimum methanol selectivity reached 23% when Ni metal was doped over YSZ.

Li metal anode is the “Holy Grail” material of advanced Lithium‐ion‐batteries (LIBs). However, it is plagued by uncontrollable dendrite growth resulting in poor cycling efficiency and short‐circuiting of batteries. This has spurred a plethora of research to understand the underlying mechanism of dendrite formation. While experimental studies suggest that there are complex physical and chemical interactions between heterogeneous solid‐electrolyte interphase (SEI) and dendrite growth, most of the studies do not reveal the mechanisms triggering these interactions. To deal with this knowledge gap, we propose a multiscale modeling framework which couples kinetic Monte Carlo and Molecular Dynamics simulations. Specifically, the model has been developed to account for (a) heterogeneous SEI, (b) dendrite‐SEI interactions, and (c) effect of electrolyte on Li electrodeposition and potential dendrite formation. This allows the proposed computational model to be extended to various electrolytes and SEI species and generate results consistent with previous experimental studies.

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