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Graphene metamaterial solar absorber using Al-TiN-Fe for efficient solar thermal energy conversion and optimization using machine learning.
Sci Rep
December 2024
Department of Computer Engineering, Marwadi University, Rajkot, 360003, India.
The contributed absorber design in graphene addition with the displacement of three materials for resonator design in Aluminum (Al), the middle substrate position with Titanium nitride (TiN), and the ground layer deposition by Iron (Fe) respectively. For the absorption validation highlight, the best four absorption wavelengths (µm) of 0.29, 0.
View Article and Find Full Text PDFSecondary nucleation guided noncovalent synthesis of dendritic homochiral superstructures via growth on and from surface.
Nat Commun
December 2024
Department of Chemistry, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, Telangana, India.
Secondary nucleation is an emerging approach for synthesizing higher-order supramolecular polymers with exciting topologies. However, a detailed understanding of growth processes and the synthesis of homochiral superstructures is yet to be demonstrated. Here, we report the non-covalent synthesis of dendritic homochiral superstructures using NIR triimide dyes as building blocks via a secondary nucleation elongation process.
View Article and Find Full Text PDFRapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
College of Artificial Intelligence, Nankai University, Tianjin 300350, China.
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classification models for MPs-contaminated chicken feeds was explored. 80 chicken feed samples with non-contaminated and 240 MPs-contaminated chicken feed samples including polypropylene (PP), polyvinyl chloride (PVC), and polyethylene terephthalate (PET) were prepared, and the NIR diffuse reflectance spectra of all the samples were collected.
View Article and Find Full Text PDFAn Efficient and Flexible Bifunctional Dual-Band Electrochromic Device Integrating with Energy Storage.
Nanomicro Lett
December 2024
Jiangsu Key Laboratory of Electrochemical Energy Storage Technologies, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, People's Republic of China.
Dual-band electrochromic devices capable of the spectral-selective modulation of visible (VIS) light and near-infrared (NIR) can notably reduce the energy consumption of buildings and improve the occupants' visual and thermal comfort. However, the low optical modulation and poor durability of these devices severely limit its practical applications. Herein, we demonstrate an efficient and flexible bifunctional dual-band electrochromic device which not only shows excellent spectral-selective electrochromic performance with a high optical modulation and a long cycle life, but also displays a high capacitance and a high energy recycling efficiency of 51.
View Article and Find Full Text PDF[PLSR model based on near-infrared spectroscopy for the detection of wood fiber anatomy of ].
Ying Yong Sheng Tai Xue Bao
October 2024
Research Institute of Subtropical Forestry, Chinese Academy of Forestry/Zhejiang Key Laboratory of Forest Genetics and Bree-ding, Hangzhou 311400, China.
To rapidly acquire fiber phenotypic data for wood quality assessment, we used a portable NIR spectro-meter to collect spectral data in 100 individuals of at 18-year-old of 20 different provenances, and simultaneously collected wood cores. Wood basic density and the anatomical structure of wood fiber were measured. The standard normal variate (SNV), orthogonal signal correction (OSC), and multiplicative scatter correction (MSC) methods were used for spectral preprocessing, the competitive adaptive reweighted sampling (CARS) method were used for wavelength selection, and the partial least squares regression (PLSR) model were established.
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