Results 141 to 150 of about 165,977,978 (255)

Resource‐Efficient Electrodes with Metallized Woven‐Glass‐Grid Current Collectors for Lithium‐Ion Batteries

open access: yesChemSusChem, Volume 18, Issue 6, March 15, 2025.
The use of metallized glass‐based woven‐grids instead of metal foils as current collectors for LIBs leads to a significant reduction in metal usage by over 90 % and weight savings of more than 80 %, resulting in an 11 % increase in specific energy at the cell level. Abstract A novel class of resource‐efficient, woven‐glass‐grid current collectors (CCs)
Yen‐Ming Li   +10 more
wiley   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

open access: yesDeep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza   +4 more
wiley   +1 more source

Additive models for quantile regression: model selection and confidence bandaids [PDF]

open access: yes
Additive models for conditional quantile functions provide an attractive framework for nonparametric regression applications focused on features of the response beyond its central tendency.
Roger Koenker
core  

Fracture evolution of a thick soft protection layer and the water inrush mechanism in overburden under longwall mining

open access: yesDeep Underground Science and Engineering, EarlyView.
Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu   +4 more
wiley   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

open access: yesDeep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

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