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Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

open access: yesAdvanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma   +4 more
wiley   +1 more source

Catalytically Enhanced Near Room‐Temperature Hydrogen Sensing Using Pd‐ZnO Colloidal Crystals

open access: yesAdvanced Functional Materials, EarlyView.
Pd‐decorated ZnO colloidal crystal monolayers demonstrate excellent performance across a wide hydrogen concentration range at 33°C, with high selectivity and reproducible device fabrication. The sensors show strong responses even at low‐ppm H2 concentrations and an ultra‐low detection limit of 82 ppb, indicating their suitability for diverse hydrogen ...
Hamidah Alluhaybi   +13 more
wiley   +1 more source

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