Results 131 to 140 of about 1,208,657 (304)

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Analysis of development status and key common technology trends of mining robots

Meitan kexue jishu
With the deep integration of next-generation information technologies and intelligent equipment, mining production is rapidly transforming from labor-intensive operations toward digitalized, intelligent, and unmanned paradigms.
Haoyang MENG, Yihui PANG
doaj   +1 more source

An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies [PDF]

This paper presents an overview of current trends in electronic Business (E-Business), and discusses how an enterprise can use the Electronic Market space based on intelligent agents and data mining techniques to its strategic advantage.
Constanta Nicoleta BODEA, Radu Ioan MOGOS   +1 more
core  

Role of mining in national economies [PDF]

, 2016
Mining can play a vital role on the sustainable development of some of the world’s poorest countries, yet many countries that are most economically dependent on mining would benefit from improved governance, according to a new report published by the ...
International Council on Mining and Metals
core  

Mining 4.0—the Impact of New Technology from a Work Place Perspective

, 2019
Industry 4.0 offers new possibilities to combine increased productivity with stimulating workplaces in a good work environment. Used correctly, digitalization can create attractive jobs in safe control room environments, which provide space for the ...
Johansson, Jan, Johansson, Jan,, Abrahamsson, Lena,, Lööw, Joel, Abrahamsson, Lena, Lööw, Joel,   +5 more
core   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Collaborative Production Planning Based on an Intelligent Unmanned Mining System for Open-Pit Mines in the Industry 4.0 Era

Open-pit mining is a cornerstone of industrial raw material extraction, yet it is fraught with safety concerns due to rough operating conditions. The advent of Industry 4.0 has introduced advanced technologies such as AI, the IoT, and autonomous systems,
Shuai Sun, Kui Liu, Qingping Zhang, Bin Mei, Qing Li   +4 more
core   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Multi-scale experimental study on the failure mechanism of high-strength bolts under highly mineralized environment

Geomechanics and Geophysics for Geo-Energy and Geo-Resources
High-strength bolts have become indispensable support materials in geotechnical engineering, but the incidence of safety accidents caused by bolt fractures under complex geological conditions is increasing.
Zhe He, Nong Zhang, Zhengzheng Xie, Qun Wei, Changliang Han, Feng Guo, Yijun Yin, Yuxuan Liu   +7 more
doaj   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source