Results 141 to 150 of about 5,165 (285)

A General Framework for Knowledge Integration in Machine Learning for Electromagnetic Scattering Using Quasinormal Modes

open access: yesLaser &Photonics Reviews, EarlyView.
Neural networks can accelerate modeling and inverse design of electromagnetic devices by several orders of magnitude, but usually require large amounts of data to train. This work demonstrates that integrating knowledge about quasinormal modes into the network architecture reduces the required amount of training data significantly, while simultaneously
Viktor A. Lilja   +3 more
wiley   +1 more source

Chain‐End Grafting of RAFT Polyelectrolyte Macroligands to Stabilize Near‐Infrared‐Emitting Gold Nanoclusters

open access: yesMacromolecular Rapid Communications, EarlyView.
Surface‐functionalized gold nanoclusters (AuNCs) are synthesized in situ by chain‐end grafting of RAFT polyelectrolytes at room temperature directly in water. It leads to highly stable polymer‐AuNCs nanohybrids emitting near‐infrared photoluminescence with µs lifetimes. ABSTRACT With their photoluminescence properties, gold nanoclusters (AuNCs, d<2 nm)
Bárbara Casteleiro   +7 more
wiley   +1 more source

A Synergistic Strategy for Data‐Constrained Deep Learning in Materials Science

open access: yesMaterials Genome Engineering Advances, EarlyView.
This work develops a three‐stage machine learning framework for materials property prediction, integrating data preparation, graph‐based model training, and final property inference. By synergistically integrating attention pooling, multi‐task learning, auxiliary tasks, and classification‐corrected regression, this hybrid framework provide a ...
Chun Ting Shao   +6 more
wiley   +1 more source

Osmotic signaling governs sunscreen biosynthesis to safeguard desert cyanobacteria against desiccation

open access: yesmLife, EarlyView.
Abstract Mycosporine‐like amino acids (MAAs) are natural sunscreens synthesized by a wide range of organisms. Although the induction of MAA production by ultraviolet radiation is well established, the signaling pathways involved and specific functions of MAAs under other stress conditions remain poorly understood.
Lei Zhao   +7 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

The scale matters: A review on stimuli‐responsive microrobots categorized by scale for biomedical applications

open access: yesResponsive Materials, EarlyView.
We systematically summarize how each scale dictates fundamental choices in design feature, manufacturing technology, driving mechanism, and control strategy, which are inherently governed by scale‐dominated physical principles. Furthermore, the application of scale‐determined operation modes of microrobots across different stages of medical ...
Hang Yin   +3 more
wiley   +1 more source

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