Results 121 to 130 of about 322,902 (281)

Surface Diffusion in SnTe‐PbTe Monolayer Lateral Heterostructures

Advanced Functional Materials, EarlyView.
The lateral heterostructures between 2D materials often suffer from the interdiffusion at the interfaces. Here, a surface diffusion mechanism is found to be dominating at the interfaces between semiconducting SnTe and PbTe monolayers. Atomically sharp interfaces can be achieved by suppressing this diffusion process. ABSTRACT The construction of complex
Jing‐Rong Ji, Zi'Ang Gao, Shiva Prasad Poudel, Rui‐Qi Cao, Tianzhe Chen, Luxin Li, Chong Liu, Salvador Barraza‐Lopez, Stuart S. P. Parkin, Kai Chang   +9 more
wiley   +1 more source

Sample adaptive data augmentation with progressive scheduling

Data augmentation is a widely adopted technique utilized to improve the robustness of automatic speech recognition (ASR). Employing a fixed data augmentation strategy for all training data is a common practice. However, it is important to note that there can be variations in factors such as background noise, speech rate, etc.
Lu, Hongxuan, Li, Biao
openaire   +2 more sources

An Ultrafast Self‐Gelling Versatile Hydrogel for Rapid Infected Burn Wound Repair in Military Medicine

Advanced Functional Materials, EarlyView.
A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang, Zhangrui Wu, Xiansheng Zhao, Geng Wang, Quyang Yang, Minxia zhang, Xiaowei Wang, Xiujun Cheng, Changyue Wu, Dan Wu, Yutian Yang, Canbin Dong, Tao Zhang, Weiqiang Tan, Ningwen Zhu   +14 more
wiley   +1 more source

Adaptive Data Augmentation for Thompson Sampling

In linear contextual bandits, the objective is to select actions that maximize cumulative rewards, modeled as a linear function with unknown parameters. Although Thompson Sampling performs well empirically, it does not achieve optimal regret bounds.
openaire   +2 more sources

Domain Wall Rebounds Driven by Competing Entropic and Spin‐Transfer Torques in Cylindrical Nanowires

Advanced Functional Materials, EarlyView.
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, Jorge Marqués‐Marchán, Sara Catalano, Agustina Asenjo, Michael Foerster, Miguel Angel Niño, Manuel Vazquez, Fèlix Casanova, Arantxa Fraile Rodríguez, Rafael P. Del Real, Oksana Chubykalo‐Fesenko, Cristina Bran   +11 more
wiley   +1 more source

Stacking‐Engineered Magnonic Topology and Transport in Honeycomb Homobilayers

Advanced Functional Materials, EarlyView.
ABSTRACT Topological magnons have emerged as a promising platform for dissipationless bosonic transport. However, a straightforward and effective strategy to engineer such topological states in real materials has yet to be fully realized. Here, a general scheme for controlling magnonic topological states via stacking engineering in van der Waals ...
Xiaoran Feng, Yingxi Bai, Bo Yuan, Ying Dai, Baibiao Huang, Chengwang Niu, Xiaotian Wang   +6 more
wiley   +1 more source

Method for Recognition of Communication Interference Signals under Small-Sample Conditions

Applied Sciences
To address the difficulty in obtaining a large number of labeled jamming signals in complex electromagnetic environments, this paper proposes a small-sample communication jamming signal recognition method based on WDCGAN-SA (Wasserstein Deep Convolution ...
Rong Ge, Yusheng Li, Yonggang Zhu, Xiuzai Zhang, Kai Zhang, Minghu Chen   +5 more
doaj   +1 more source

Applying Data Augmentation to Handwritten Arabic Numeral Recognition Using Deep Learning Neural Networks

, 2017
Handwritten character recognition has been the center of research and a benchmark problem in the sector of pattern recognition and artificial intelligence, and it continues to be a challenging research topic.
Ashiquzzaman, Akm, Rahman, Ashiqur, Tushar, Abdul Kawsar   +2 more
core  

Copper‐Based Crystalline‐Metallic Glass Composite Thin Films: A Novel Material with Enhanced Strength and Thermally Stable Nanotwins

Advanced Functional Materials, EarlyView.
A Cu‐based crystal‐glass composite with high‐density twins is identified by a fast screening technique using combinatorial sputtering together with XRD and nanoindentation mapping. This bamboo‐like structure demonstrates homogenous plastic flow and retains high strength during in situ high temperature tests, up to 1 GPa at 550°C, owing to those ...
Chunhua Tian, Amit Sharma, Krzysztof Wieczerzak, Alexander Groetsch, Manish Jain, Nicolò Maria della Ventura, Remo Widmer, Fedor F. Klimashin, Johann Michler, Jakob Schwiedrzik, Xavier Maeder   +10 more
wiley   +1 more source

Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels

Advanced Functional Materials, EarlyView.
This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim, Siheon Lee, Jinsoo Na, James Sangmin Choo, Inho Kim, Junsang Doh, Jeong‐Yun Sun, Chang Yeol Lee, Juhyuk Park   +8 more
wiley   +1 more source