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Article ; Online: Tunable Hypersonic Bandgap Formation in Anisotropic Crystals of Dumbbell Nanoparticles.

Kim, Hojin / Gueddida, Abdellatif / Wang, Zuyuan / Djafari-Rouhani, Bahram / Fytas, George / Furst, Eric M

ACS nano

2023 Volume 17, Issue 19, Page(s) 19224–19231

Abstract: Phononic materials exhibit mechanical properties that alter the propagation of acoustic waves and are widely useful for metamaterials. To fabricate acoustic materials with phononic bandgaps, colloidal nanoparticles and their assemblies allow access to ... ...

Abstract	Phononic materials exhibit mechanical properties that alter the propagation of acoustic waves and are widely useful for metamaterials. To fabricate acoustic materials with phononic bandgaps, colloidal nanoparticles and their assemblies allow access to various crystallinities in the submicrometer scale. We fabricated anisotropic crystals with dumbbell-shaped nanoparticles via field-directed self-assembly. Brillouin light spectroscopy detected the formation of direction-dependent hypersonic phononic bandgaps that scale with the lattice parameters. In addition, the local resonances of the constituent nanoparticles enable metamaterial behavior by opening hybridization gaps in disordered structures. Unexpectedly, this bandgap frequency is robust to changes in the dumbbell aspect ratio. Overall, this study provides a structure-property relationship for designing anisotropic phononic materials with targeted phononic bandgaps.
Language	English
Publishing date	2023-09-27
Publishing country	United States
Document type	Journal Article
ISSN	1936-086X
ISSN (online)	1936-086X
DOI	10.1021/acsnano.3c05750
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Assessing structural changes at the forest edge using kernel density estimation

Wang, Zuyuan / Ginzler, Christian / Waser, Lars T

Forest ecology and management. 2020 Jan. 15, v. 456

2020

Abstract: Due to the strong impact of the composition and structure of the forest edge on forest ecosystems, the value of investigating changes at the forest edge has been recognized for a few decades. Automatic quantification and detection of forest edge changes ... ...

Abstract	Due to the strong impact of the composition and structure of the forest edge on forest ecosystems, the value of investigating changes at the forest edge has been recognized for a few decades. Automatic quantification and detection of forest edge changes has advantages over fieldwork with respect to the time and cost required. Based on the structural features extracted from Airborne Laser Scanning (ALS) data, in this study an automatic method using Kernel Density Estimation (KDE) was developed to describe ALS point data related to the forest edge in terms of a finite number of interpretable indicators. The method was applied to identify patterns in data sets at the forest edge between two given dates (2001 and 2014) in European temperate mixed forests. The study area has an extent of 1403 km2 and the total length of forest boundary is approx. 5000 km.The calculated structural features explained the vegetation’s height distribution and the structural variance at the forest edge. The kernel density curves represented the general structural diversity of the study area. Three extracted indicators described the shape of the kernel density curves and reflected the dynamics of the studied forest edge area. Overall, results from this study show that the proposed approach is a promising tool for using remote sensing data to analyze whether or not the vertical structure of the forest edge for the entire study area has changed and thus to assess automatically the progress of forest management at forest edge.
Keywords	data collection ; density ; edge effects ; forest ecosystems ; forest management ; lidar ; mixed forests ; spatial data ; variance
Language	English
Dates of publication	2020-0115
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	751138-3
ISSN	0378-1127
ISSN	0378-1127
DOI	10.1016/j.foreco.2019.117639
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Network Viscoelasticity from Brillouin Spectroscopy.

Rodríguez-López, Raymundo / Wang, Zuyuan / Oda, Haruka / Erdi, Metecan / Kofinas, Peter / Fytas, George / Scarcelli, Giuliano

Biomacromolecules

2023 Volume 25, Issue 2, Page(s) 955–963

Abstract: Even though the physical nature of shear and longitudinal moduli are different, empirical correlations between them have been reported in several biological systems. This correlation is of fundamental interest and immense practical value in biomedicine ... ...

Abstract	Even though the physical nature of shear and longitudinal moduli are different, empirical correlations between them have been reported in several biological systems. This correlation is of fundamental interest and immense practical value in biomedicine due to the importance of the shear modulus and the possibility to map the longitudinal modulus at high-resolution with all-optical spectroscopy. We investigate the origin of such a correlation in hydrogels. We hypothesize that both moduli are influenced in the same direction by underlying physicochemical properties, which leads to the observed material-dependent correlation. Matching theoretical models with experimental data, we quantify the scenarios in which the correlation holds. For polymerized hydrogels, a correlation was found across different hydrogels through a common dependence on the effective polymer volume fraction. For hydrogels swollen to equilibrium, the correlation is valid only within a given hydrogel system, as the moduli are found to have different scalings on the swelling ratio. The observed correlation allows one to extract one modulus from another in relevant scenarios.
MeSH term(s)	Hydrogels/chemistry ; Polymers/chemistry ; Spectrum Analysis ; Models, Theoretical ; Viscosity
Chemical Substances	Hydrogels ; Polymers
Language	English
Publishing date	2023-12-29
Publishing country	United States
Document type	Journal Article
ISSN	1526-4602
ISSN (online)	1526-4602
DOI	10.1021/acs.biomac.3c01073
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Article ; Online: Facilely printed silk fibroin hydrogel microparticles as injectable long-lasting fillers.

Xie, Chunyu / Yang, Xiao / Zheng, Fan / Shi, Jiahao / Huo, Caixia / Wang, Zuyuan / Reis, Rui L / Kundu, Subhas C / Xiao, Bo / Duan, Lian

Biomaterials science

2024 Volume 12, Issue 2, Page(s) 375–386

Abstract: There is a high demand from aging people for facial fillers with desirable biocompatibility and lasting filling effects to overcome facial depression. Novel injectable regenerated silk fibroin (RSF) microparticles were facilely printed from a glycidyl ... ...

Abstract	There is a high demand from aging people for facial fillers with desirable biocompatibility and lasting filling effects to overcome facial depression. Novel injectable regenerated silk fibroin (RSF) microparticles were facilely printed from a glycidyl methacrylate-modified silk fibroin hydrogel to address this issue. The β-sheet content and mechanical properties of the RSF hydrogel can be simply modulated by the number of freeze-thawing cycles, and the swelling rate of the RSF hydrogel in saline was negligible. The printed RSF microparticles were uniform, and their diameter was about 300-500 μm, which could be adjusted by the pore sizes of the printed screens. After the injection with a 26-gauge needle, the size distribution of RSF microparticles had no noticeable variation, suggesting that the microparticles could bear the shear strain without breaking during the injection. The
MeSH term(s)	Humans ; Fibroins ; Hydrogels ; Protein Conformation, beta-Strand ; Injections, Subcutaneous ; Freezing ; Silk
Chemical Substances	Fibroins (9007-76-5) ; Hydrogels ; Silk
Language	English
Publishing date	2024-01-16
Publishing country	England
Document type	Journal Article
ZDB-ID	2693928-9
ISSN	2047-4849 ; 2047-4830
ISSN (online)	2047-4849
ISSN	2047-4830
DOI	10.1039/d3bm01488f
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Article: Nyström-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation

Pang, Yong / Wang, Weiwei / Du, Liming / Zhang, Zhongjun / Liang, Xiaojun / Li, Yongning / Wang, Zuyuan

International journal of digital earth. 2021 Oct. 03, v. 14, no. 10

2021

Abstract: The spectral clustering method has notable advantages in segmentation. But the high computational complexity and time consuming limit its application in large-scale and dense airborne Light Detection and Ranging (LiDAR) point cloud data. We proposed the ... ...

Abstract	The spectral clustering method has notable advantages in segmentation. But the high computational complexity and time consuming limit its application in large-scale and dense airborne Light Detection and Ranging (LiDAR) point cloud data. We proposed the Nyström-based spectral clustering (NSC) algorithm to decrease the computational burden. This novel NSC method showed accurate and rapid in individual tree segmentation using point cloud data. The K-nearest neighbour-based sampling (KNNS) was proposed for the Nyström approximation of voxels to improve the efficiency. The NSC algorithm showed good performance for 32 plots in China and Europe. The overall matching rate and extraction rate of proposed algorithm reached 69% and 103%. For all trees located by Global Navigation Satellite System (GNSS) calibrated tape-measures, the tree height regression of the matching results showed an value of 0.88 and a relative root mean square error (RMSE) of 5.97%. For all trees located by GNSS calibrated total-station measures, the values were 0.89 and 4.49%. The method also showed good performance in a benchmark dataset with an improvement of 7% for the average matching rate. The results demonstrate that the proposed NSC algorithm provides an accurate individual tree segmentation and parameter estimation using airborne LiDAR point cloud data.
Keywords	algorithms ; data collection ; global positioning systems ; lidar ; tree height ; trees ; China ; Europe
Language	English
Dates of publication	2021-1003
Size	p. 1452-1476.
Publishing place	Taylor & Francis
Document type	Article
ZDB-ID	2410527-2
ISSN	1753-8955 ; 1753-8947
ISSN (online)	1753-8955
ISSN	1753-8947
DOI	10.1080/17538947.2021.1943018
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Remote Sensing Scene Classification via Multi-Branch Local Attention Network.

Chen, Si-Bao / Wei, Qing-Song / Wang, Wen-Zhong / Tang, Jin / Luo, Bin / Wang, Zu-Yuan

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

2021 Volume 31, Page(s) 99–109

Abstract: Remote sensing scene classification (RSSC) is a hotspot and play very important role in the field of remote sensing image interpretation in recent years. With the recent development of the convolutional neural networks, a significant breakthrough has ... ...

Abstract	Remote sensing scene classification (RSSC) is a hotspot and play very important role in the field of remote sensing image interpretation in recent years. With the recent development of the convolutional neural networks, a significant breakthrough has been made in the classification of remote sensing scenes. Many objects form complex and diverse scenes through spatial combination and association, which makes it difficult to classify remote sensing image scenes. The problem of insufficient differentiation of feature representations extracted by Convolutional Neural Networks (CNNs) still exists, which is mainly due to the characteristics of similarity for inter-class images and diversity for intra-class images. In this paper, we propose a remote sensing image scene classification method via Multi-Branch Local Attention Network (MBLANet), where Convolutional Local Attention Module (CLAM) is embedded into all down-sampling blocks and residual blocks of ResNet backbone. CLAM contains two submodules, Convolutional Channel Attention Module (CCAM) and Local Spatial Attention Module (LSAM). The two submodules are placed in parallel to obtain both channel and spatial attentions, which helps to emphasize the main target in the complex background and improve the ability of feature representation. Extensive experiments on three benchmark datasets show that our method is better than state-of-the-art methods.
MeSH term(s)	Algorithms ; Neural Networks, Computer ; Remote Sensing Technology
Language	English
Publishing date	2021-11-30
Publishing country	United States
Document type	Journal Article
ISSN	1941-0042
ISSN (online)	1941-0042
DOI	10.1109/TIP.2021.3127851
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Article ; Online: Quantization of Acoustic Modes in Dumbbell Nanoparticles.

Wang, Zuyuan / Kim, Hojin / Secchi, Maria / Montagna, Maurizio / Furst, Eric M / Djafari-Rouhani, Bahram / Fytas, George

Physical review letters

2022 Volume 128, Issue 4, Page(s) 48003

Abstract: The vibrational eigenmodes of dumbbell-shaped polystyrene nanoparticles are recorded by Brillouin light spectroscopy (BLS), and the full experimental spectra are calculated theoretically. Different from spheres with a degeneracy of (2l+1), with l being ... ...

Abstract	The vibrational eigenmodes of dumbbell-shaped polystyrene nanoparticles are recorded by Brillouin light spectroscopy (BLS), and the full experimental spectra are calculated theoretically. Different from spheres with a degeneracy of (2l+1), with l being the angular momentum quantum number, the eigenmodes of dumbbells are either singly or doubly degenerate owing to their axial symmetry. The BLS spectrum reveals a new, low-frequency peak, which is attributed to the out-of-phase vibration of the two lobes of the dumbbell. The quantization of acoustic modes in these molecule-shaped dumbbell particles evolves from the primary colloidal spheres as the separation between the two lobes increases.
Language	English
Publishing date	2022-02-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	208853-8
ISSN	1079-7114 ; 0031-9007
ISSN (online)	1079-7114
ISSN	0031-9007
DOI	10.1103/PhysRevLett.128.048003
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Article ; Online: Nanoscale-Structured Hybrid Bragg Stacks with Orientation- and Composition-Dependent Mechanical and Thermal Transport Properties: Implications for Nacre Mimetics and Heat Management Applications.

Dörres, Theresa / Bartkiewicz, Malgorzata / Herrmann, Kai / Schöttle, Marius / Wagner, Daniel / Wang, Zuyuan / Ikkala, Olli / Retsch, Markus / Fytas, George / Breu, Josef

ACS applied nano materials

2022 Volume 5, Issue 3, Page(s) 4119–4129

Abstract: Layered nanomaterials fascinate researchers for their mechanical, barrier, optical, and transport properties. Nacre is a biological example thereof, combining excellent mechanical properties by aligned submicron inorganic platelets and nanoscale ... ...

Abstract	Layered nanomaterials fascinate researchers for their mechanical, barrier, optical, and transport properties. Nacre is a biological example thereof, combining excellent mechanical properties by aligned submicron inorganic platelets and nanoscale proteinic interlayers. Mimicking nacre with advanced nanosheets requires ultraconfined organic layers aimed at nacre-like high reinforcement fractions. We describe inorganic/polymer hybrid Bragg stacks with one or two fluorohectorite clay layers alternating with one or two poly(ethylene glycol) layers. As indicated by X-ray diffraction, perfect one-dimensional crystallinity allows for homogeneous single-phase materials with up to a 84% clay volume fraction. Brillouin light spectroscopy allows the exploration of ultimate mechanical moduli without disturbance by flaws, suggesting an unprecedentedly high Young's modulus of 162 GPa along the aligned clays, indicating almost ideal reinforcement under these conditions. Importantly, low heat conductivity is observed across films, κ
Language	English
Publishing date	2022-03-02
Publishing country	United States
Document type	Journal Article
ISSN	2574-0970
ISSN (online)	2574-0970
DOI	10.1021/acsanm.2c00061
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Article: Temperature-Dependent Thermoelastic Anisotropy of the Phenyl Pyrimidine Liquid Crystal.

Ryu, Meguya / Cang, Yu / Wang, Zuyuan / Fytas, George / Morikawa, Junko

The journal of physical chemistry. C, Nanomaterials and interfaces

2019 Volume 123, Issue 28, Page(s) 17148–17154

Abstract: Controlling thermoelastic anisotropy of liquid crystals (LCs) is important for achieving reliable structural stability and efficient heat dissipation, especially for high-performance LC devices. A solid understanding of the thermoelastic anisotropy and ... ...

Abstract	Controlling thermoelastic anisotropy of liquid crystals (LCs) is important for achieving reliable structural stability and efficient heat dissipation, especially for high-performance LC devices. A solid understanding of the thermoelastic anisotropy and its relation with the LC molecular structure is, however, still missing. Here, we studied the direction-dependent mechanical and thermal properties of 5-
Language	English
Publishing date	2019-07-09
Publishing country	United States
Document type	Journal Article
ISSN	1932-7447
ISSN	1932-7447
DOI	10.1021/acs.jpcc.9b04270
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Article: Determination of the Complete Elasticity of Nephila pilipes Spider Silk

Wang, Zuyuan / Cang, Yu / Kremer, Friedrich / Thomas, Edwin L / Fytas, George

Biomacromolecules. 2020 Jan. 14, v. 21, no. 3

2020

Abstract: Spider silks are remarkable materials designed by nature to have extraordinary elasticity. Their elasticity, however, remains poorly understood, as typical stress–strain experiments only allow access to the axial Young’s modulus. In this work, micro- ... ...

Abstract	Spider silks are remarkable materials designed by nature to have extraordinary elasticity. Their elasticity, however, remains poorly understood, as typical stress–strain experiments only allow access to the axial Young’s modulus. In this work, micro-Brillouin light spectroscopy (micro-BLS), a noncontact, nondestructive technique, is utilized to probe the direction-dependent phonon propagation in the Nephila pilipes spider silk and hence solve its full elasticity. To the best of our knowledge, this is the first demonstration on the determination of the anisotropic Young’s moduli, shear moduli, and Poisson’s ratios of a single spider fiber. The axial and lateral Young’s moduli are found to be 20.9 ± 0.8 and 9.2 ± 0.3 GPa, respectively, and the anisotropy of the Young’s moduli further increases upon stretching. In contrast, the shear moduli and Poisson’s ratios exhibit very weak anisotropy and are robust to stretching.
Keywords	Nephila pilipes ; anisotropy ; modulus of elasticity ; silk ; spectroscopy ; spidroins
Language	English
Dates of publication	2020-0114
Size	p. 1179-1185.
Publishing place	American Chemical Society
Document type	Article
ISSN	1526-4602
DOI	10.1021/acs.biomac.9b01607
Database	NAL-Catalogue (AGRICOLA)

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