Results 161 to 170 of about 8,645 (266)

Guided nonlinear optics for information processing. [PDF]

open access: yesNanophotonics
Brunner D, Stiller B, Psaltis D.
europepmc   +1 more source

Economy of Touch : Task‐Driven Information Selection in Electrical Impedance Tomography‐based Tactile Robotic Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
Electrical impedance tomography (EIT) tactile skins enable multiplexed measurements that trade sensing speed against information richness. This work introduces an economy‐of‐touch framework that treats tactile sensing as an information‐budgeting problem.
Xiaoxian Xu, David Hardman, Fumiya Iida
wiley   +1 more source

Propagation of solitary waves for hydrodynamical nonlinear complex model in a fractional derivative setting. [PDF]

open access: yesSci Rep
Bilal M   +6 more
europepmc   +1 more source

A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films

open access: yesAdvanced Intelligent Systems, EarlyView.
A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms   +7 more
wiley   +1 more source

Noise-tolerant correlated coincidence imaging based on supercorrelated light at 1550 nm. [PDF]

open access: yesSci Adv
Yan Y   +9 more
europepmc   +1 more source

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng   +4 more
wiley   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata   +14 more
wiley   +1 more source

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