Results 231 to 240 of about 1,178,363 (355)

Lightweight 3D Hierarchical Metamaterial Microlattices

open access: yesAdvanced Science, EarlyView.
In this work, hierarchical lightweight 3D auxetic metamaterials based on cubic crystal lattice truss geometries are proposed. Microscale prototypes are fabricated using two‐photon lithography additive manufacturing and tested in situ. These hierarchical metamaterials are shown to exhibit a wide range of negative Poisson's ratios including giant ...
Luke Mizzi   +5 more
wiley   +1 more source

Local-structure insight into the improved superconducting properties of Pb-substituted La(O, F)BiS<sub>2</sub>: a photoelectron holography study. [PDF]

open access: yesSci Rep
Li Y   +17 more
europepmc   +1 more source

State of the Art of Low‐Frequency Acoustic Modulation: Intensity Enhancement and Directional Control

open access: yesAdvanced Science, EarlyView.
High intensity low‐frequency sound sources hold significant value in many fields. However, their long wavelength, strong penetrability, and tendency to diffract make direction control and intensity enhancement challenging. Acoustic generators and metamaterial‐based acoustic devices still face issues such as low energy efficiency, poor directional ...
Jingsong Xu   +13 more
wiley   +1 more source

A Molecularly Defined Medullary Network for Control of Respiratory Homeostasis

open access: yesAdvanced Science, EarlyView.
The dynamic interplay between central respiratory chemoreceptors and the respiratory central pattern generator is essential for maintaining stable respiratory rhythm and patterns, particularly during sleep. This study offers novel insights into the anatomical, molecular, and functional characteristics of a medullary network involving the nucleus ...
Tianjiao Deng   +16 more
wiley   +1 more source

Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting

open access: yesAdvanced Science, EarlyView.
A high‐throughput droplet‐based cellular bioprinting platform enhanced with machine learning optimizes five key printing parameters—bioink viscosity, nozzle size, printing time, printing pressure, and cell concentration—to enable accurate prediction of droplet size.
Jaemyung Shin   +7 more
wiley   +1 more source

Absence of superconductivity and density-wave transition in ambient-pressure tetragonal La<sub>4</sub>Ni<sub>3</sub>O<sub>10</sub>. [PDF]

open access: yesNat Commun
Shi M   +16 more
europepmc   +1 more source

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