Results 141 to 150 of about 621,582 (323)
Inverse Design in Nanophotonics via Representation Learning
This review frames machine learning (ML) in nanophotonics through a classification based on where ML is applied. We categorize methods as either output‐side, which create differentiable surrogates for solving Maxwell's partial differential equations (PDEs), or input‐side, which learn compact representations of device geometry.
Reza Marzban +2 more
wiley +1 more source
Movable Antenna-Enabled RIS-Assisted Simultaneous Wireless Information and Power Transfer Systems. [PDF]
Feng D, Zhang X, Yu X, Wang X, Shi X.
europepmc +1 more source
Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source
Nonlinear Analysis and Convex Analysis
identifier:oai:t2r2.star.titech.ac.jp ...
+3 more sources
Image-Based Evaluation Method for the Shape Quality of Stacked Aggregates. [PDF]
Ren S, Zeng S, Zhou Y, Peng Y, Liu B.
europepmc +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Resource Allocation and Trajectory Planning in Integrated Sensing and Communication Enabled UAV-Assisted Vehicular Network. [PDF]
Song M, Zhang W, Bai J.
europepmc +1 more source
Systemical convergence rate analysis of convex incremental feedforward neural networks
Lei Chen +2 more
openalex +2 more sources

