On International Women in Engineering Day #INWED and in the International Year of Quantum, #IYQ@commseng publishes Viewpoints from women who work in engineering research sharing their views of the present and future impact of quantum tech in their field: doi.org/10.1038/s44172-025-0…
This month, Dr Yangyang Li is @CommsEng Reviewer of the Month. Thank you for great assistance in peer review and congrats for the award!
nature.com/commseng/referees…
Paul Szypryt and co-authors in their @commseng paper present a kinetic inductance current sensor for superconductor current measurement. Their device demonstrates a readout noise below the level of a coupled transition-edge sensor: nature.com/articles/s44172-0…
Song Deng and colleagues present in their @commseng study a data-driven and privacy preserving risk assessment approach to protect the data privacy of power grid operators, and demonstrate its compatibility with IEEE 14-bus and 118-bus systems: go.nature.com/4ehjpFY
New research in @CommsEng develops a bottom-up approach for standardizind and making transparent the calculations of the full cost, marginal cost, and levelized cost of various battery production methods.
go.nature.com/4fe9kuE
In a recent study in @CommsEng Cheng and colleagues demonstrate a near-field thermal transport-based scheme to measure in-situ the lubricant thickness during lubricant depletion and reflow dynamics for heat-assisted magnetic recording hard disks go.nature.com/3Akwbp6
This month, the Reviewer of the Month award comes for a co-review: in this format, senior referees get help from their junior colleagues, and both get recognised as referees. Please join us in congratulating Dr Kristaq Gazeli and Konstantinos Giotis
nature.com/commseng/referees…
In their @CommsEng paper, Mustafa Majid Rashak Al-Fartoos and co-authors build a thermoelectric glazing prototype Al-doped ZnO and CuI nanogenerators which achieves a 22.5 C temperature difference and showcases efficient electricity harvesting go.nature.com/3XZiLqo
In a recent study from @commseng Xi Ouyang et al. developed a unified machine-learning model for multi-task segmentation in computed tomography images after collating a large dataset composed of over 35K scans
go.nature.com/4f7BxTx
Nature Portfolio journals join forces to boost visibility of important research topics of today and support @SDGAction. Working on a relevant study? Read the scope and submit to our topical collections:
Until the end of November, we welcome submissions to our Collection with @NatureComms, @CommsEng, & @SciReports on microphysiological systems, including engineering advances, modeling biological phenomena and disease & drug testing:
nature.com/collections/ajjia…
@CommsEng collection brings integrated circuits in the third dimension: submit your research in 3D Integrated (Heterogeneous) Circuits until Match, 13th nature.com/collections/bajdi…