Results 41 to 50 of about 4,953 (252)

Nanoscale Optical Inhomogeneities From Compositional Segregation Within Individual GaN‐on‐Si Quantum Wells

Advanced Science, EarlyView.
This work visualizes local variations in luminescence and relates them to nanoscale chemical inhomogeneities in single InxGa1−xN quantum wells. We demonstrate that the elemental segregation is only inherent to quantum wells with high indium content. Density functional theory shows this to be the result of strain‐induced phase stabilization, explaining ...
Jing‐Yang Chung, Tara P. Mishra, Zackaria Mahfoud, Thomas E. Gage, Jianguo Wen, Katherine P. Rice, Isabelle Martin, Li Zhang, Govindo J. Syaranamual, Stephen J. Pennycook, Silvija Gradečak, Pieremanuele Canepa, Michel Bosman   +12 more
wiley   +1 more source

Hyperspectral Band Selection Method Based on Global Partition Clustering

Remote Sensing
Band selection is an important step in the dimensionality reduction processing of hyperspectral images and is highly important for eliminating redundant spectral information and reducing computational costs.
Tingrui Hu, Xian Guo, Peichao Gao
doaj   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

Insights Into the Nature of Quantum Emitters in Electron‐Irradiated Hexagonal Boron Nitride

Advanced Science, EarlyView.
Hyperspectral imaging is used to identify quantum emitters hosted by the 2D material hexagonal boron nitride. By selecting specific emission wavelengths, one can distinguish individual emitters from ensembles and gain important insights into the atomic structure of these emitters.
Mouli Hazra, Anna Rupp, Mohammad N. Mishuk, Josefine Krause, Anand Kumar, Julien Chénedé, Mingi Kang, Bayarjargal N. Tugchin, Marijn Rikers, Isabelle Staude, Thomas Pertsch, Alexander Högele, Tobias Vogl   +12 more
wiley   +1 more source

Segmented Autoencoders for Unsupervised Embedded Hyperspectral Band Selection [PDF]

2018 7th European Workshop on Visual Information Processing (EUVIP), 2018
One of the major challenges in hyperspectral imaging (HSI) is the selection of the most informative wavelengths within the vast amount of data in a hypercube. Band selection can reduce the amount of data and computational cost as well as counteracting the negative effects of redundant and erroneous information. In this paper, we propose an unsupervised,
Tschannerl, Julius, Ren, Jinchang, Zabalza, Jaime, Marshall, Stephen   +3 more
openaire   +3 more sources

A Preclinical Multifunctional Capsule Robot with Unified Diagnosis and Targeted Thermal Therapy for Gastrointestinal Diseases

Advanced Science, EarlyView.
A proof‐of‐concept multifunctional capsule robot integrates diagnostic imaging, magnetic navigation, wireless power transfer, and targeted thermotherapy for gastrointestinal applications. Magnetically guided positioning and stable wireless power enable localized thermal ablation, achieving controlled heating and high cell mortality in vitro.
Heng Zhang, Yichong Sun, Xiaoting Zhang, Chi‐Kwan Lee, Zheng Li, Yehui Li, Huarong Chen, Paul D. Mitcheson   +7 more
wiley   +1 more source

Seeing the Chemistry of Biomolecular Condensates: In Situ Mapping of Composition and Water Content

Advanced Science, EarlyView.
Raman hyperspectral imaging combined with spectral phasor analysis enables a label‐free quantification of proteins, polymers and water density within individual biomolecular condensates. By transforming complex vibrational fingerprints into intuitive compositional maps, the approach reveals the high water content and structural heterogeneity of ...
E. Sabri, A. Mangiarotti, C. N. Z. Schmitt, R. Dimova   +3 more
wiley   +1 more source

Hyperspectral band selection based on deep learning: a review

Journal of King Saud University: Computer and Information Sciences
Hyperspectral images, characterized by rich spatial and spectral information, have been increasingly applied across numerous fields. However, the high dimensionality inherent in hundreds of spectral bands results in the “curse of dimensionality ...
Deqiong Ding, Dan Zhuang, Fei Xia, Xiaogao Yang   +3 more
doaj   +1 more source

Incorporating band selection in the spatial selection of spectral endmembers

International Journal of Applied Earth Observations and Geoinformation, 2020
The impact of band selection on endmember selection is seldom explored in the analysis of hyperspectral imagery. This study incorporates the N-dimensional Spectral Solid Angle (NSSA) band selection tool into the Spectral-Spatial Endmember Extraction ...
Yaqian Long, Benoit Rivard, Derek Rogge
doaj   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source