Results 141 to 150 of about 5,165 (285)
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
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
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
Multi-Layer Molecular Quantum-Dot Cellular Automata Multiplexing Structure with Physical Verification for Secure Quantum RAM. [PDF]
Jeon JC.
europepmc +1 more source
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
A novel D-latch with low energy consumption in quantum-dot cellular automata technology. [PDF]
Mahdian Jouibari S +3 more
europepmc +1 more source
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
Design and implementation of an efficient single layer five input majority voter gate in quantum-dot cellular automata. [PDF]
Bahar AN, Waheed S.
europepmc +1 more source
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
Novel design of cryptographic architecture of nanorouter using quantum-dot cellular automata nanotechnology. [PDF]
Kassa S +6 more
europepmc +1 more source

