Results 111 to 120 of about 305,410 (292)

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

How to realize safe-efficient-intelligent mining of rock burst coal seam

Meitan kexue jishu
How to realize safe and efficient intelligent mining of rock burst coal seam is an important industrial technical problem. This paper systematically analyzes the distribution characteristics, mining status and development trend of rock burst mine in ...
Guofa WANG, Yishan PAN, Shankun ZHAO, Yihui PANG, Yonghua HE, Wenyan WEI   +5 more
doaj   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Progress in digital and intelligent technologies for complex giant systems in green coal development

Meitan kexue jishu
Analyzed the new situation and requirements facing the green development of coal resources in China, proposed a complex and intelligent technology system for the green development of coal resources, with the goal of green development mode and geological ...
Guofa WANG, Jianzhong ZHANG, Zaibin LIU, Yihui PANG, Tong WANG, Cong SANG   +5 more
doaj   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

New Valences for the Financial-Accounting System [PDF]

A new approach to a company’s information systems is needed, if we take into consideration the globalization process of the economy, the intensified competition, the impose of new qualitative demands or the adjustment to new accounting standards.
Adrian LUPASC, Cristina Gabriela ZAMFIR, Ioana LUPASC   +2 more
core  

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Numerical investigation on the tunneling efficiency of TBM considering the argillization effect based on the energy evolution

Scientific Reports
When tunnel boring machines (TBMs) excavate in mudstone, argillization of the rock reduces tunneling efficiency. To investigate the influence of argillization on TBM performance and determine the optimal operational parameters, numerical investigation ...
Minwei Lu, Haowen Ruan, Bolong Liu, Huicai Gao, Hao Chen, Yu Zeng, Shuchang Bao, Xingyu Chen, Xin Wan, Bingqiang Tong, Boyi Li   +10 more
doaj   +1 more source

On the academic ideology of “Digging is modelling”

Meitan xuebao
To realize safe, efficient, and intelligent excavation of coal mine roadways, the academic concept of “Digging is modelling” is proposed,which defines thecontent and architectural framework of the concept, as well as extracts the key technical issues ...
Hongwei MA, Siya SUN, Chuanwei WANG, Qinghua MAO, Xusheng XUE, Peng LIU, Haibo TIAN, Peng WANG, Ye ZHANG, Zhen NIE, Kexiang MA, Yifeng GUO, Heng ZHANG, Saisai WANG, Lang LI, Hao SU, Wenda CUI, Jiashuai CHENG, Zukun YU   +18 more
doaj   +1 more source