Results 211 to 220 of about 601,272 (282)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine. [PDF]

Sci Rep
Maurya R, Mahapatra S, Dutta MK, Singh VP, Karnati M, Sahu G, Pandey NN.   +6 more
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine. [PDF]

Sci Rep
Syama S, Ramprabhakar J, Anand R, Meena VP, Guerrero JM.   +4 more
europepmc   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Foot fractures diagnosis using a deep convolutional neural network optimized by extreme learning machine and enhanced snow ablation optimizer. [PDF]

Sci Rep
Guo X, Tan C, Shi L, Khishe M, Bagi K.
europepmc   +1 more source

A Genomic Catalog of Migratory Microbiomes from Wild Birds across China's Habitats

Advanced Science, EarlyView.
ABSTRACT Migratory birds play an important role in the spread of antimicrobial resistance (AMR); however, gaps in surveillance data from vital regions along migratory flyways across China limit the detection of emergent threats. Here, we assembled 340 metagenomes from 52 bird species covering 11 provincial administrative districts in China, presenting ...
Yanan Wang, Heqi Wu, Mengqi Qu, Chunge Zhang, Ziqian Xu, Yuhang Pei, Chaochao Zhao, Jiangtao Wang, Sufang Ma, Na Lyu, Xuebin Xu, Yuhai Bi, Baoli Zhu, George F. Gao   +13 more
wiley   +1 more source

Hybrid prediction method for solar photovoltaic power generation using normal cloud parrot optimization algorithm integrated with extreme learning machine. [PDF]

Sci Rep
Liu H, Cai C, Li P, Tang C, Zhao M, Zheng X, Li Y, Zhao Y, Liu C.   +8 more
europepmc   +1 more source

Nanozymes for Liver Disease Therapy: Advances in Catalytic Activity, Targeting Strategies, and Clinical Translation

Advanced Science, EarlyView.
Nanozymes, as enzyme‐mimicking nanomaterials, exhibit unique catalytic properties for the treatment of liver diseases. By regulating redox homeostasis, modulating immune responses, and enabling targeted delivery, nanozymes overcome the limitations of natural enzymes.
Xiandi Meng, Ge Zhu, Siyu Sun, Wenbo Yao, Yuning Zhang, Yong‐Guang Yang, Tianmeng Sun   +6 more
wiley   +1 more source

Ensemble Extreme Learning Machine Method for Hemoglobin Estimation Based on PhotoPlethysmoGraphic Signals. [PDF]

Sensors (Basel)
Peng F, Zhang N, Chen C, Wu F, Wang W.
europepmc   +1 more source