Results 251 to 260 of about 23,868 (312)
Nonlocal Metaspire: A Scalable Elastic Material Platform With Decoupled Mechanical Modes
Nonlocal Metaspire introduces sequential rotation to realize wider scalability in implementing complex nonlocal couplings in elastic metamaterials while suppressing unintended mode coupling. Numerical results clarify the underlying wave motions, demonstrate mode‐decoupled roton and maxon formation, and support a straightforward extension to higher ...
Seung Han Kim +3 more
wiley +1 more source
Tri-Level Consistency-Diversity Calibration for Multi-View Representation Learning. [PDF]
Hu J, Qiao L, Shu Y.
europepmc +1 more source
A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav +2 more
wiley +1 more source
An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. [PDF]
Liu H, Ge G, Jiang Z, Chen X.
europepmc +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Utility-Leakage Trade-Off for Federated Representation Learning. [PDF]
Liu Y, Günlü O, Shi Y, Wu Y.
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Identification of EEG features during status epilepticus for prediction of emergent epilepsy phenotype in the mouse intra-amygdala kainic acid model using supervised learning. [PDF]
Abidi SMR +4 more
europepmc +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Brain network classification considering directed propagation mechanisms of dynamic graphs. [PDF]
Wang X, Wang Z, Cao K.
europepmc +1 more source

