Results 121 to 130 of about 528 (244)

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

open access: yesAdvanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

Editorial: Quantum electromagnetic photon-mediated communication in neuronal networks. [PDF]

open access: yesFront Syst Neurosci
Cavaglià M   +3 more
europepmc   +1 more source

An Intelligent Microfluidics Enabled by Data‐Driven Deep Learning‐Based Microrobot‐Assisted Flow Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
An AI‐enabled micromixing framework is developed by integrating cGAN with Bayesian optimization for predictive control of microrobot‐driven flow manipulation. Through this framework, the spatiotemporal evolution of micromixing is learned directly from experimental images, while rapid identification of optimized microrobot actuation strategies is ...
Dineshkumar Loganathan, Chia‐Yuan Chen
wiley   +1 more source

Analytically grounded full-wave methods for advances in computational electromagnetics. [PDF]

open access: yesPhilos Trans A Math Phys Eng Sci
Lucido M   +4 more
europepmc   +1 more source

First‐Principles Study of Structural, Mechanical, Electronic, Thermodynamical, and Optical Properties of XGaO2 (X = Rb and Cs): Unlocking Its Green Energy Potential

open access: yesAdvanced Physics Research, EarlyView.
This study employs density functional theory (DFT) to investigate the structural, mechanical, electronic, optical, and thermodynamic properties of RbGaO2 and CsGaO2. The calculated band structures and band‐edge positions indicate semiconducting behavior and favorable alignment for photocatalytic dye degradation and hydrogen evolution, highlighting ...
Md. Zuel Rana   +9 more
wiley   +1 more source

Study of Structural, Electronic, Optical, Mechanical, Thermal, and Thermoelectric Properties of MPSi3 [M = Al, Ga, In] Semiconductors by DFT Method

open access: yesAdvanced Physics Research, EarlyView.
This study explores the compounds MPSi3 [M = Al, Ga, In] and introduces InPSi3 as a promising material for solar cell applications. Findings reveal stability, excellent band gaps, and strong optical absorption, suggesting that these materials are ideal candidates for advancing energy‐harvesting technologies. ABSTRACT In this study, a new semiconducting
S. K. Datta   +4 more
wiley   +1 more source

Ab‐Initio Study of Structural, Magnetic, Optoelectronic and Thermophysical Properties of Heusler Compound HoPdBi

open access: yesAdvanced Physics Research, EarlyView.
The top panel shows the electronic band structure, which illustrates how the electronic energy varies with momentum along different high‐symmetry directions within the first Brillouin zone. Band structure determines the electronic character of a crystalline solid.
Tanvir Khan, F. Parvin, S. H. Naqib
wiley   +1 more source

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