Results 211 to 220 of about 146,479 (306)

DFT Insight Into Physical Properties of Halide Ions Replacements in Oxo‐Selenate Halide Compounds for Photovoltaic Application

open access: yesEnergy Science &Engineering, EarlyView.
Using density functional theory (CASTEP, GGA–PBE), the structural, electronic, optical, and mechanical properties of YSeO₃X (X = F, Cl, Br, and I) compounds are systematically investigated. The materials have exhibited structural stability, tunable band gaps, strong optical absorption, anisotropic ductile behavior, and promising potential for ...
Nawishta Jabeen   +5 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan   +8 more
wiley   +1 more source

Orogeny and topography influenced Jurassic-Cretaceous terrestrial ecosystem evolution in northeastern Asia. [PDF]

open access: yesNatl Sci Rev
Wang N   +13 more
europepmc   +1 more source

Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams

open access: yesEnergy Science &Engineering, EarlyView.
A comparative study was conducted on gas desorption laws of raw and tectonic coals. The sensitivity of regional and local outburst prediction indexes was compared. Gas content is more sensitive than gas pressure for composite coal seams. K1 can more accurately predict the outburst danger than Δh2 $\Delta {h}_{2}$ in composite coal seams.
Haijun Guo   +4 more
wiley   +1 more source

Multidisciplinary approaches to lithological discrimination and structural mapping for mineral resource assessment. [PDF]

open access: yesSci Rep
Elfadly MA   +8 more
europepmc   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

open access: yesEnergy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen   +4 more
wiley   +1 more source

Spatial Variations in Methane Content and Their Main Controlling Factors of the Deep‐Buried Coalbed in the Nalinhe–Hengshan Area, Ordos Basin

open access: yesEnergy Science &Engineering, EarlyView.
Ash yield is the primary geological factor controlling the spatial variations in the total gas content of the deep‐buried coalbed methane in the Nalinhe‐Hengshan area, Ordos Basin. However, porosity dominates the differential enrichment of the free gas content of the deep‐buried coalbed methane in the Nalinhe‐Hengshan area, Ordos Basin.
Shi Yunhe   +9 more
wiley   +1 more source

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