Results 161 to 170 of about 61,380 (270)

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

Stochastic Thermodynamics of a Linear Optical Cavity Driven on Resonance. [PDF]

open access: yesACS Photonics
G Ramesh V   +5 more
europepmc   +1 more source

Repeating Nuclear Transients From Repeating Partial Tidal Disruption Events

open access: yesAstronomische Nachrichten, EarlyView.
ABSTRACT Extragalactic nuclear transients that exhibit repeating outbursts can be modeled as the repeated dynamical interaction between bound stars and supermassive black holes (SMBHs). A subset of these transients, with recurrence timescales of months‐to‐years, have been explained as accretion flares from the repeated tidal stripping of a star by an ...
Ananya Bandopadhyay   +4 more
wiley   +1 more source

Mimic, target, and adapt: Cell membrane‐coated nanoplatforms for precision and immune‐guided cancer treatment

open access: yesBMEMat, EarlyView.
This Perspective explores the emerging landscape of cell membrane‐coated nanoparticles (CM‐NPs) as intelligent, immune‐compatible platforms for cancer therapy. Highlighting design strategies, translational challenges, and competitive positioning, it outlines how integrating biomimetic targeting with advanced analytical and manufacturing tools could ...
A. K. M. M. Alam   +4 more
wiley   +1 more source

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

open access: yesCarbon and Hydrogen, EarlyView.
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao   +6 more
wiley   +1 more source

Fluorescent Diarylethenes With Polar Groups: Synthesis, Spectra, and Optical Microscopy Applications

open access: yesChemistry – A European Journal, EarlyView.
Blinking green and flashing red: photo‐switchable and photo‐activatable probes emitting green and red light were prepared and applied as bioconjugates in super‐resolution optical microscopy. ABSTRACT The use of photoactivatable fluorescent diarylethenes (fDAEs) in biology‐related light microscopy has been restricted by the lack of probes having freely ...
Kakishi Uno   +6 more
wiley   +1 more source

Optimization of 3D‐Printed Structured Packings—Current State and Future Developments

open access: yesChemie Ingenieur Technik, EarlyView.
This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke   +3 more
wiley   +1 more source

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