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Showing 5 of 5 academic articles

Soft robotics: Technologies and systems pushing the boundaries of robot abilities

Cecilia Laschi, Barbara Mazzolai, Matteo Cianchetti • Science Robotics (2016)

The proliferation of soft robotics research worldwide has brought substantial achievements in terms of principles, models, technologies, techniques, and prototypes of soft robots. Such achievements are reviewed here in terms of the abilitie...

OPENALEX DOI: https://doi.org/10.1126/scirobotics.aah3690

Decoherence-free many-body Hamiltonians in nonlinear waveguide quantum electrodynamics

Aviv Karnieli, Offek Tziperman, Charles Roques-Carmes, Shanhui Fan • Physical Review Research (2025)

Enhancing interactions in many-body quantum systems, while protecting them from environmental decoherence, is at the heart of many quantum technologies. Waveguide quantum electrodynamics is a promising platform for achieving this, as it hos...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.7.L012014

Effect of Duffing nonlinearity on squeezing in a classical parametric amplifier in the unstable regime

Tomoki KANDA, Hiroshi YABUNO • Mechanical Engineering Journal (2026)

In quantum information processing, control of quantum entanglement is of central importance, particularly for applications in quantum computing. One established method for generating entanglement is squeezing, which exploits the uncertainty...

DOAJ Open Access (DOAJ) DOI: 10.1299/mej.26-00260

An intelligent machine learning paradigm for gyrotactic micro-organism-induced squeezing flow of Eyring–Powell hybrid nanofluids with entropy generation

A. Imran, Muna Elsadig, Jongsuk Ro • AIP Advances (2026)

A novel unsteady squeezing flow of a non-Newtonian ternary hybrid nanofluid is investigated by focusing Eyring–Powell fluid rheology in an infinite channel. The nanofluid consists of AA1072, AA1075, and ZrO2 nanoparticles suspended in blood...

DOAJ Open Access (DOAJ) DOI: 10.1063/5.0337148

Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy

Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou et al. • Nature Communications (2025)

Abstract The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturba...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-025-55944-5