Results 171 to 180 of about 681,265 (180)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Synthetic Lung-cancer Cohorts Generated by a Large Language Model: Epidemiological Validity Assessment. [PDF]

open access: yesOpen Respir Arch
Fuentes-Martín Á   +3 more
europepmc   +1 more source

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