Results 151 to 160 of about 30,599 (256)

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

The Contribution Of The Minerals And Mining Industry To Poverty Alleviation and Sustainable Development In Nigeria – A Legal Perspective

, 2015
Despite the huge deposits of mineral resources in Nigeria, the success of the Mineral and Mining industry in alleviating poverty has been relatively low.
Erhun, Mercy O.
core  

Computer Vision-Based Techniques for Conveyor Belt Condition Monitoring: A Systematic Review. [PDF]

Sensors (Basel)
Rios-Colque P, Rios-Colque V, Rios-Colque L, Robles PA.   +3 more
europepmc   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Progressive damage of Hawkesbury sandstone subjected to systematic cyclic loading

, 2014
An experimental investigation was carried out on the Hawkesbury sandstone to identify and predict the change in mechanical properties of the rock during uniaxial and triaxial cyclic compressive testing.
Bastian, T., Taheri, A., Yfantidis, N., Connelly, B., Lazo Olivares, C.   +4 more
core  

Simulation of deformation characteristics of irregular rock specimens with different mining face lengths. [PDF]

Sci Rep
Zhang Y, Liu X, Wei S, Lin H, Xie J, Ni X.   +5 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Longwall mining, subsidence, and protection of water resources in Virginia

, 1989
In the coalfields of Southwest Virginia, Iongwall technology accounts for an increasing proportion of underground coal mine production. lt is a highly productive, capital intensive method that provides a degree of mine safety greater than conventional ...
Roth, Richard A.
core  

Numerical simulation study on the cooperative movement of overburden and fracture healing mechanisms in shallow-buried coal seams. [PDF]

Sci Rep
Pang C, Kong Z, Chen L, Xu Z.
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source