Results 121 to 130 of about 92,920 (310)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Achieving High‐Density and Stress‐Resilient Maize Breeding Via Germplasm Innovation

Advanced Science, EarlyView.
Global population growth and climate change have exacerbated the global food crisis. This perspective presents a conceptual framework focusing on enhancing population advantages. Several novel breeding objectives are proposed to improve density tolerance and stress resistance for yield improvement.
Xinlong Li, Yongqiang Chen, Dong Ding, Xuehai Zhang, Xuxiang Jia, Zhanhui Zhang, Yafei Wang, Weihua Li, Hui Zhang, Jihua Tang   +9 more
wiley   +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

Geng L.: A Unified framework for Utility based Measures for Mining Itemsets

, 2006
A pattern is of utility to a person if its use by that person contributes to reaching a goal. Utility based measures use the utilities of the patterns to reflect the user’s goals.
Data Mining, Hong Yao
core  

Advanced Data Mining Techniques for Compound Objects [PDF]

, 2004
Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in large data collections. The most important step within the process of KDD is data mining which is
Schubert, Matthias
core  

Retina‐Inspired Bi‐Based Terahertz Photonic Neuromorphic Devices

Advanced Science, EarlyView.
Combined with effective band alignment and substrate engineering, bismuth materials are introduced to form terahertz photonic bio‐inspired devices with picosecond short‐term plasticity to enable multi‐scene visual perception. Thus obtained hardware through the terahertz optical neural network (THz‐ONN) demonstrates high recognition accuracy, providing ...
Pujing Zhang, Donggang Xie, Longyu Shi, Mengyuan Wang, Huiwen Shi, Yu Wu, Menglei Li, Guangwei She, Peijie Wang, Wensheng Shi, Cunlin Zhang, Kuijuan Jin, Guozhen Yang, Qingli Zhou, Chen Ge   +14 more
wiley   +1 more source

Valuing the Non-Market Impacts of Underground Coal Mining

This paper has been published in a peer-reviewed journal as: Gillespie, R. & M. E. Kragt (2012). "Accounting for nonmarket impacts in a benefit-cost analysis of underground coal mining in New South Wales, Australia." Journal of Benefit-Cost Analysis 3(2):
Gillespie, Robert, Kragt, Marit Ellen
core   +1 more source

A Search Space Reduced Algorithm for Mining Frequent Patterns [PDF]

, 2013
Mining frequent patterns is to discover the groups of items appearing always together excess of a user specified threshold. Many approaches have been proposed for mining frequent patterns by applying the FP-tree structure to improve the efficiency of the
Yen, Show-Jane, Yen, Show-Jane; Wang, Chiu-Kuang; Ouyang, Liang-Yuh   +1 more
core  

The Third‐Generation Magnetic Super‐Stable Mineralizer: Complete Removal and Separation of Multiple Heavy Metal Pollutants

Advanced Science, EarlyView.
The 3rd‐generation magnetic super‐stable mineralizer M‐MgAl‐700 features a core‐shell structure, strong superparamagnetism, large surface area, and abundant oxygen defects. It achieves exceptional Cd(II) and As(V) mineralization capacities, reducing both pollutants in co‐contaminated water and soil to meet national standards.
Haoran Wang, Menghan Huang, Ruihua Mao, Xiaohan Zhang, Zhaohui Wu, Xiaofeng Pang, Tong Lin, Dongyuan Cui, Sai An, Yu‐Fei Song   +9 more
wiley   +1 more source

Phase Fraction Modulation Enhances Li+/Na+ Diffusion Disparity in Spent LiFePO4 Cathodes for Efficient Lithium Extraction from Brine

Advanced Science, EarlyView.
A direct cascaded utilization strategy for spent LiFePO4 batteries efficiently extracts lithium from brine, embodying the “urban mining” concept. Phase fraction modulation revealed its significant impact on local bond lengths of crystal structure and the Li/Na diffusion energy barrier, identifying the best material (Li0.19FePO4) for lithium extraction.
Ruiqi Yin, Qihan Huang, Jiayu Hao, Guosheng Li, Guoxing Ren, Dongfu Liu, Zhongwei Zhao, Wenhua Xu   +7 more
wiley   +1 more source