Results 171 to 180 of about 96,422 (267)
Our work bridges the gap between skyrmion discovery and material design by demonstrating how atomic‐scale control of exchange interactions enables tunable skyrmion phase transitions in centrosymmetric magnetic metals. ABSTRACT Magnetic skyrmions are topologically protected spin states that hold promise for shaping the future of electronics.
Dasuni N. Rathnaweera +9 more
wiley +1 more source
A Fast Prediction Method for Wide-Angle Bistatic Scattering and Reflection Coefficients of Acoustically Coated Plates. [PDF]
Zhang Y, Peng Z, Tan L, Wu S, Lv E.
europepmc +1 more source
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
A Moment-of-Inertia-Dependent Surface Homogenization Method for Porous Polymer Beams. [PDF]
Xiang R, Li S, Zhang M, Li L.
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Mechanical Performance-Enhanced Parabolic Curved-Beam Lattice Structures: Multi-Objective Optimization and Theoretical Modeling. [PDF]
Min D, Wang Q, Yu L, Jin Z, Zhong R.
europepmc +1 more source
A fully coupled FEM–HH model shows that ideally capacitive microelectrodes can achieve lower charge‐density thresholds than Faradaic contacts under current‐controlled stimulation. The advantage stems from the dynamics of surface current density on capacitive interfaces, which redirects current beneath adherent neurons.
Aleksandar Opančar +2 more
wiley +1 more source
Study on Failure Pressure Prediction of Double Corrosion Defects in Oil and Gas Pipelines. [PDF]
Chen L +7 more
europepmc +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Development and Verification of Crack-Enriched Elements Based on XFEM. [PDF]
Shi Y, Chen L, Zhao P, Huo J, Shi L.
europepmc +1 more source

