Results 101 to 110 of about 325,176 (282)
Band Alignment in In‐Oxo Metal Porphyrin SURMOF Heterojunctions
Porphyrin core metalation in indium‑oxo SURMOFs enables systematic tuning of band edge positions without altering the crystal structure. First‑principles calculations reveal type‑I and type‑II heterostructures as well as multi‑junction energy cascades, establishing a modular strategy for exciton funneling and charge separation in optoelectronic ...
Puja Singhvi, Nina Vankova, Thomas Heine
wiley +1 more source
Sample and feature augmentation strategies for calibration updating
AbstractCalibration updating—transfer and/or maintenance—has historically been implemented using a simple but effective technique: in addition to primary samples, include a small number of secondary samples and weight them. It would be beneficial if these classical weighting techniques could be enhanced. Moreover, it would be ideal if we could only use
Erik Andries +2 more
openaire +2 more sources
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu +9 more
wiley +1 more source
Specific emitter identification under extremely small sample conditions via chaotic integration
As a potential solution to improve wireless security, specific emitter identification is a lightweight access authentication technology. However, the existed deep learning‐based specific emitter identification methods are highly dependent on the training
Haotian Zhang +3 more
doaj +1 more source
Augmented Feature Diffusion on Sparsely Sampled Subgraph
Link prediction is a fundamental problem in graphs. Currently, SubGraph Representation Learning (SGRL) methods provide state-of-the-art solutions for link prediction by transforming the task into a graph classification problem. However, existing SGRL solutions suffer from high computational costs and lack scalability.
Xinyue Wu, Huilin Chen
openaire +1 more source
Multi-hop Federated Private Data Augmentation with Sample Compression
On-device machine learning (ML) has brought about the accessibility to a tremendous amount of data from the users while keeping their local data private instead of storing it in a central entity. However, for privacy guarantee, it is inevitable at each device to compensate for the quality of data or learning performance, especially when it has a non ...
Jeong, E. (Eunjeong) +5 more
openaire +3 more sources
Magnetic Control of Chiral Hybridized Phonon Magnetic Moments in Ferrimagnets Fe2‐xZnxMo3O8
Helicity‐resolved magneto‐Raman spectroscopy reveals magnetic control of chiral phonon magnetic moments in polar ferrimagnet (ZnxFe2−xMo3O₈). Large spontaneous zero‐field phonon splittings, selective phonon–magnon coupling, and asymmetric Zeeman responses demonstrate that phonon chirality is governed by magnon‐phonon coupling and magnetization.
Youngsu Choi +8 more
wiley +1 more source
Landslide recognition with sample augmentation based on a joint DCGAN and Pix2Pix
Landslides are among the most frequent and destructive geological hazards in mountainous regions; however, the ability to automatically identify landslides is often constrained by limited amounts of labelled samples, modest gains derived from traditional
Peihui Li +4 more
doaj +1 more source
From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado +6 more
wiley +1 more source
Domain Wall Rebounds Driven by Competing Entropic and Spin‐Transfer Torques in Cylindrical Nanowires
Domain‐wall motion in cylindrical magnetic nanowires driven by nanosecond current pulses. Low current densities efficiently displace domain walls, whereas higher currents cause rebound at the wire ends. The effect results from the interplay between spin‐transfer torque and thermally induced processes, highlighting the role of thermal gradients in ...
Elias Saugar +11 more
wiley +1 more source

