Results 91 to 100 of about 140,971 (281)

Catalysis AI Agent Guides Discovering the Universal Design Principle of Cu‐Based Single‐Atom Alloy Catalysts for CO2 Electroreduction

Angewandte Chemie, EarlyView.
Artificial intelligence (AI) enables the systematic analysis and comparative evaluation of experimental and theoretical data, optimizes the catalytic reaction research workflow, and accelerates the discovery of high‐performance electrocatalysts. ABSTRACT Copper (Cu)‐based single‐atom alloys (SAAs) represent a promising strategy for optimizing the ...
Xuning Wang, Zhong Li, Di Zhang, Hao Li, Haoxiang Xu, Daojian Cheng   +5 more
wiley   +2 more sources

Surface damage reduction effect of ultra-high working face in Shangwan coal mine

Scientific Reports
Green mining is the basic background of high-quality mining, and source reduction is the most important part, among which the optimization of working face height and length is the most active.
L. I. U. Xinjie, Yang Yingming, Zhao Yongqiang, WANG Xiaolong, Liu Gang, Xu Zhuhe   +5 more
doaj   +1 more source

Research on the Mechanism and Control of Spalling on 8 m Fully Mechanized Mining Face in Huoxi Coalfield

Applied Sciences
The great success of fully mechanized mining with a large mining height of 8 m and above in Mongolia and Shaanxi proves the feasibility of this technology. Although fully mechanized mining with a large mining height significantly increases the production
Lin Meng, Mei Wang, Chenlong Wang, Yongkang Yang   +3 more
doaj   +1 more source

Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network

Advanced Intelligent Discovery, EarlyView.
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia, Miguel Gomez, Steve Blair, Berardi Sensale‐Rodriguez   +3 more
wiley   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Research on Overburdened Rock Structures and Support Resistance of Shallow Buried Large Mining Heights Based on Sheet Gangs

Applied Sciences
In the mining of shallow coal seams, the increase in mining height will lead to a sharp increase in the probability and degree of coal wall spalling. Rib spalling will affect the normal production of coal mines and may also threaten the safety of miners.
Pei Zhang, Yang Chen, Yibo Wei, Zhuo Li, Liqiang Dong   +4 more
doaj   +1 more source

Study on dynamic and static load stability of coal wall and scale effect of mining height in large cutting height working face

矿业科学学报, 2020
Based on the theoretical analysis, numerical simulation and laboratory test, the instability mechanism and characteristics of the coal wall under the action of dynamic load are studied.A PFC2D biaxial compression numerical test model is established, and the fracture is planted in the model to study the scale effect of coal body and coal sample under ...
Fan Zhizhong, Pan Liming
openaire   +1 more source

Underground mining of aggregates. Main report [PDF]

, 2010
This report examines the economic feasibility of underground mining for crushed rock aggregates in the UK, but particularly in the London, South East and East of England regions (the South East area of England).
Brown, Teresa J., Coggan, John S., Evans, David J., Foster, Patrick J., Hewitt, Jeremy, Kruyswijk, Jacob B., Smith, Nigel, Steadman, Ellie J.   +7 more
core  

Outlier Mining Methods Based on Graph Structure Analysis [PDF]

, 2019
Outlier detection in high-dimensional datasets is a fundamental and challenging problem across disciplines that has also practical implications, as removing outliers from the training set improves the performance of machine learning algorithms.
Almeira, Nahuel, Amil Marletti, Pablo, Masoller Alonso, Cristina   +2 more
core   +3 more sources

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source