Results 151 to 160 of about 17,235 (255)

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

open access: yesAdvanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi   +3 more
wiley   +1 more source

Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion

open access: yesAdvanced Intelligent Systems, EarlyView.
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari   +6 more
wiley   +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

Effect of Annealing Temperature on the Structural, Morphological, and Optical Properties of CdSeTe Nanoparticles for Optoelectronic Applications

open access: yesAdvanced Physics Research, EarlyView.
A correlation between thermal treatment and enhanced crystalline quality, surface morphology, and optical response. As annealing temperature increases, structural refinement (evidenced by phrase transition from hexagonal to cubic), and more defined morphology (seen via SEM), and improved optical absorption and bandgap tuning (UV–vis and PL spectra) are
Vanthini Nelson Adoons   +2 more
wiley   +1 more source

Spectral Response Modelling of Multilayer Graphene/Quantum Dot Heterostructures

open access: yesAdvanced Physics Research, EarlyView.
The spectral response of a multilayer heterostructure device with multiple layers of graphene and photosensitizers of different bandgaps (ZnO and quantum dots) is simulated and validated with experimental data. Our simulation incorporates photon absorption by the photosensitizers and charge collection by graphene, capturing the photoresponse dependence
Ju Ying Shang   +2 more
wiley   +1 more source

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