Results 271 to 280 of about 1,925,096 (328)

Dispersive Full‐Channel Jones Matrix Modulation in Elliptical Polarization Bases via a Single‐Layered Metasurface

Advanced Science, EarlyView.
This work presents a dispersive full‐channel Jones matrix modulation strategy using single‐layer metasurface. By synergizing wavelength dispersion engineering with elliptical polarization bases, independent control of four Jones matrix channels is achieved across multiple wavelengths.
Hairong He, Guangtao Cao, Shuhao Zhang, Hui Xu, Zhiquan Chen, Meiyu Peng, Yuting Jiang, Yueqiang Hu, Hui Jing, Huigao Duan, Hui Yang   +10 more
wiley   +1 more source

Explainable convolutional neural network architectures for high-performance taxonomic classification of gasteroid macrofungi. [PDF]

Sci Rep
Kumru E, Ekinci F, Aydoğan A, Güzel MS, Sevindik M, Akata I.   +5 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Development and validation of a convolutional neural network for automatic differentiation of primary central nervous system lymphoma and glioblastoma. [PDF]

Cancer Imaging
Ji Q, Yang Z, Zhou L, Chen F, Li W.
europepmc   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

Advanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang, Muyang Chen, Gengyi Bao, Yan Lai, Jinghe Cao, Xinhua Liu, Rui Tan   +6 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

Convolutional neural network approach for automated well zonation in the Lower Bahariya member north Western Desert Egypt. [PDF]

Sci Rep
Saleh K, Mabrouk WM, Metwally AM.
europepmc   +1 more source

Extracting important features for crop yield prediction with convolutional neural networks on remote sensing and meteorological data

, 2019
Aleksandra Wolanin, Luis Guanter, Gustau Camps‐Valls, Grégory Duveiller   +3 more
openalex   +1 more source

In Situ Liquid‐Cell Transmission Electron Microscopy Insights Into Lithium‐Ion Battery Materials Degradation: Challenges and Emerging Solutions

Advanced Science, EarlyView.
Lithium‐ion battery degradation arises from complex, localized processes during operation, limiting long‐term performance. In situ electrochemical liquid cell TEM provides unique access to these mechanisms. This review summarizes degradation phenomena revealed by liquid cell TEM, traces the evolution of the three main cell designs, compares their ...
Walid Dachraoui, Rolf Erni
wiley   +1 more source

Correction to "A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation". [PDF]

J Neuroimaging
europepmc   +1 more source