Higher-Order Correlations Between Thermodynamic Fluctuations in Compressible Aerodynamic Turbulence. [PDF]
Gerolymos GA, Vallet I.
europepmc +1 more source
Methods for Setting Device Specifications for Analog In‐Memory Computing Inference
Non‐volatile memories (NVMs) are being developed for analog in‐memory computing for energy‐efficient, high‐speed deep learning inference. As technology is moving to industry adoption, a method to define required NVM specifications is critical for improving performance and reducing manufacturing cost.
Zhenyu Wu +3 more
wiley +1 more source
The spectral model of personal wellbeing and the validity of the Personal Wellbeing Spectral Questionnaire. [PDF]
Oláh A, Bagdi B, Vargha A.
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
NN-VRCTST: Neural Network Potentials Meet Variable Reaction Coordinate Transition State Theory for the Rate Constant Determination of Barrierless Reactions. [PDF]
Vari S, de Falco C, Cavallotti C.
europepmc +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
Validation of the Arabic version of the Launay-Slade Hallucination Scale Extended: A population-based online survey in Saudi-Arabia. [PDF]
Althuwaini H, Meyer G, Ward R, Meyer H.
europepmc +1 more source
Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna +5 more
wiley +1 more source
Reconfigurable Magneto-Optoelectronic Devices for Multidimensional Optical Neural Network. [PDF]
He H +9 more
europepmc +1 more source
A multimodal quad‐finger soft robotic hand (QDO hand) uses dual‐chamber straight–curved origami prismatic (SCOP) origami actuators. By coordinating positive and negative pressurization in the two chambers, each finger produces axial extension, contraction and bidirectional bending.
Qinlin Tan +6 more
wiley +1 more source

