Lightweight 3D Hierarchical Metamaterial Microlattices
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]
Li Y+17 more
europepmc +1 more source
State of the Art of Low‐Frequency Acoustic Modulation: Intensity Enhancement and Directional Control
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
Flux jumps, cluster distribution model and vortex phase diagram of oxygenated YBa2Cu3-xAlxO6+δ single crystals for H|| ab. [PDF]
Babu A, Sruthy SP, Jaiswal-Nagar D.
europepmc +1 more source
THE VALUE OF ELECTRONIC HYPERFINE ANOMALIES TO NUCLEAR AND SOLID STATE PHYSICS [PDF]
N. J. Stone
openalex +1 more source
A Molecularly Defined Medullary Network for Control of Respiratory Homeostasis
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
Improving ocean reanalyses of observationally sparse regions with transfer learning. [PDF]
Lentz S, Brune S, Kadow C, Baehr J.
europepmc +1 more source
Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting
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]
Shi M+16 more
europepmc +1 more source
Mixed gauge and anomaly mediation from new physics at 10 TeV [PDF]
Ken Hsieh, Markus A. Luty
openalex +1 more source