Zhengchun Liu

TL;DR: In this paper, annealing or high-temperature deposition of epitaxial SmCo∕Fe thin-film bilayers was used to induce interfacial mixing in exchange-spring magnets.

TL;DR: The quality of the reconstructed images with filtered back projection followed by the TomoGAN denoising approach exceeds that of reconstructions with the simultaneous iterative reconstruction technique, showing the computational superiority of the approach.

TL;DR: In this article, it was demonstrated that an already ideal exchange-spring magnet can be further improved by intermixing the interface, which is counter-intuitive to the general expectation that optimal exchange-ground magnet behavior requires an ideal, atomically coherent soft-hard interface.

TL;DR: The proposed method appears to be capable of properly calibrating and validating the simulation model with incomplete data and is presented as a case study to particularly demonstrate the way to calibrate an agent-based model of an emergency department with real data scarcity.

TL;DR: A systematic examination of a large set of data transfer log data to characterize transfer characteristics, including the nature of the datasets transferred, achieved throughput, user behavior, and resource usage yields new insights that can help design better data transfer tools, optimize networking and edge resources used for transfers, and improve the performance and experience for end users.