Bimodal Mechanical Response of Membrane Necks: Implications for the Nuclear Envelope. [PDF]
Geiger BJ, Pezeshkian W.
europepmc +1 more source
Signatures of Edge States in Antiferromagnetic Van der Waals Josephson Junctions
ABSTRACT The combination of superconductivity and magnetic textures leads to unconventional superconducting phenomena, including new correlated and topological phases. Van der Waals (vdW) materials emerge as a versatile platform for exploring the interplay between these two competing orders.
Celia González‐Sánchez +10 more
wiley +1 more source
Land Use Shapes the Rhizosphere Microbiome and Metabolome of Naturally Growing <i>Barbarea vulgaris</i>. [PDF]
Kovacs ED, Kovacs MH.
europepmc +1 more source
Atomically Resolved Acoustic Dynamics Coupled with Magnetic Order in a Van der Waals Antiferromagnet
Magnetically coupled acoustic phonon modes (f1, f2, f3) are captured by ultrafast X‐ray diffraction in a prototypical van der Waals antiferromagnet FePS3, including their atomic displacement vectors (u) and the acoustic propagation wave vectors (k). Notably, the atomic displacement vector and amplitude of these modes, represented by the direction and ...
Faran Zhou +24 more
wiley +1 more source
Alterations in Multidimensional Functional Connectivity Architecture in Preschool Children with Autism Spectrum Disorder. [PDF]
Kang J +6 more
europepmc +1 more source
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee +5 more
wiley +1 more source
Self-reflection, sense of agency, and underlying neural correlates: A pilot study. [PDF]
Gupta KV +4 more
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Host Evolutionary History Drives Prokaryotic Diversity in the Globally Distributed Sponge Family Petrosiidae. [PDF]
van der Windt N +7 more
europepmc +1 more source

