Results 121 to 130 of about 1,683,697 (275)

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

open access: yesAdvanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei   +7 more
wiley   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

open access: yesAdvanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen   +7 more
wiley   +1 more source

Mechanical, dynamic mechanical and morphological properties of composites based on recycled polystyrene filled with wood flour wastes

open access: yesMaderas: Ciencia y Tecnología, 2017
In this work, the potential for usage recycled polystyrene and wood flour wastes as materials for development wood plastic composites was evaluated. The effects of wood flour loading and coupling agent addition on the mechanical, dynamic mechanical and ...
Matheus Poletto
doaj  

Durability Performance of Polymer Composite Reinforced with Ceiba pentandra Wood Particles

open access: yesJournal of Building Materials and Structures
The study investigated the effects of Coptotermes curvignathus termites on the durability and strength properties of wood plastic composites produced from recycled polythene bags and Ceiba pentandra wood particles.
Aina Kehinde Sesan   +5 more
doaj   +1 more source

Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk

open access: yesAdvanced Science, EarlyView.
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen   +6 more
wiley   +1 more source

Palmitoylation of PSD‐95 Orchestrates Learning‐Dependent Metaplasticity in the Amygdala and Fear Memory

open access: yesAdvanced Science, EarlyView.
This study reveals that fear learning specifically triggers PICK1/DHHC2‐dependent palmitoylation of PSD‐95 in the lateral amygdala. Fear conditioning induces the dissociation of DHHC5 from PSD‐95 and the association of PSD‐95 with DHHC2. DHHC2‐mediated palmitoylation of PSD‐95 is required for synaptic transmission and underlies fear learning–induced ...
Zu‐Cheng Shen   +11 more
wiley   +1 more source

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