Communications Engineering
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Communications Engineering
@commseng.nature.com
The multi-disciplinary engineering journal from the Nature Portfolio. Fully open access. You can read all our content here for free: https://www.nature.com/commseng/
Machine learning-facilitated real-time acoustic trapping in time-varying multi-medium environments toward magnetic resonance imaging-guided microbubble manipulation
Machine learning-facilitated real-time acoustic trapping in time-varying multi-medium environments toward magnetic resonance imaging-guided microbubble manipulation
Communications Engineering, Published online: 07 February 2026; doi:10.1038/s44172-026-00600-zMengjie Wu and colleagues proposed a machine learning-based model and a closed-loop control scheme to modulate phase patterns of transducers rapidly. This technique enabled the generation of acoustic traps in 3D time-varying environments
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February 7, 2026 at 6:16 PM
Eloisa Torchia (@eloisatorchia.bsky.social) at University of Pavia talks through 'HYDRA', an automated method to fabricate thin, planar hydrogel films directly in standard plates, in our new seminar hosted on @cassyni.bsky.social 🤖🔬🧑‍🔬
Watch here:
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February 6, 2026 at 2:40 PM
We have our first completed Research Collection, on 'Battery Management Systems for Vehicle Electrification'! 🔋⚡🚗 Read how papers in this collection have contributed to the wider field of battery management systems (key components in EVs for performance optimisation): www.nature.com/articles/s44...
Battery management systems for vehicle electrification - Communications Engineering
The use of electric vehicles contributes to sustainability efforts by reducing our reliance on fossil fuels and improving air quality. Communications Engineering is delighted to present its first comp...
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January 26, 2026 at 4:24 PM
Pilot full-scale demonstration of a prototype table-top neutron resonance transmission analysis system for nuclear material detection
Pilot full-scale demonstration of a prototype table-top neutron resonance transmission analysis system for nuclear material detection
Communications Engineering, Published online: 23 January 2026; doi:10.1038/s44172-025-00564-6Cebastien Guembou and Harufumi Tsuchiya report a 252Cf-based mobile table-top neutron resonance transmission system for nuclear material analysis. The system enables isotope identification in a small-scale, cost-effective format without large accelerator facilities.
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January 23, 2026 at 6:17 PM
Multi-contrast magnetic particle imaging for tomographic pH monitoring using stimuli-responsive hydrogels
Multi-contrast magnetic particle imaging for tomographic pH monitoring using stimuli-responsive hydrogels
Communications Engineering, Published online: 17 January 2026; doi:10.1038/s44172-026-00586-8Bruno Kluwe and colleagues propose using stimuli-responsive, magnetic hydrogels in magnetic particle imaging to resolve pH levels. Non-invasive pH measurement is promising for diagnosing inflamed or tumorous tissues.
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January 17, 2026 at 5:44 PM
How can we improve drug discovery with better early preclinical models in a scalable way? 🔬 New work by Eloisa Torchia, Francesco Pasqualini and colleagues at the University of Pavia explores this: www.nature.com/articles/s44...
January 12, 2026 at 5:15 PM
DeBCR: a sparsity-efficient framework for image enhancement through a deep-learning-based solution to inverse problems
DeBCR: a sparsity-efficient framework for image enhancement through a deep-learning-based solution to inverse problems
Communications Engineering, Published online: 12 January 2026; doi:10.1038/s44172-025-00582-4Rui Li and colleagues propose a deep learning solution to inverse problems in imaging. Their sparsity-efficient network and software improve image restoration across advanced light microscopy modalities with fewer parameters than existing models.
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January 12, 2026 at 5:05 PM
Enhancing energy capture: single- and dual-chamber oscillating water column devices under converging waves
Enhancing energy capture: single- and dual-chamber oscillating water column devices under converging waves
Communications Engineering, Published online: 10 January 2026; doi:10.1038/s44172-026-00584-wYu Zhou and colleagues propose novel designs for oscillating water column wave energy converters coupled to a parabolic coast. The designs yield higher power capture and a broader frequency bandwidth than traditional designs.
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January 11, 2026 at 4:54 PM