Results 241 to 250 of about 604,315 (312)

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

open access: yesAdvanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li   +8 more
wiley   +1 more source

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

FeCoNiCuPt High‐Entropy Alloy Boosts Photocatalytic Hydrogen Production on Protonated Graphitic Carbon Nitride

open access: yesAdvanced Science, EarlyView.
In this study, FeCoNiCuPt high‐entropy alloy particles (HEA) are loaded onto protonated g‐C3N4 nanosheets (HCN NSs) to construct HEA/HCN composites through an electrostatic self‐assembly method. Protonation treatment enriches the surface of g‐C3N4 nanosheets with abundant active sites and enhances their interfacial charge separation capability ...
Yunzhu Zang   +3 more
wiley   +1 more source

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