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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

A Method for Reducing the Temperature Sensitivity of a Single-Base Propellant by Adding Ultra-Fine RDX Particles. [PDF]

open access: yesPolymers (Basel)
Zhu S   +9 more
europepmc   +1 more source

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