Results 91 to 100 of about 22,310 (259)

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

Transcriptomics of Temporal- versus Substrate-Specific Wood Decay in the Brown-Rot Fungus Fibroporia radiculosa. [PDF]

open access: yesJ Fungi (Basel), 2023
Min B   +7 more
europepmc   +1 more source

Multi‐Stimuli‐Responsive Hydrogen‐Bonded Organic Frameworks Nanocarriers Enable Targeted Fungicide Release and Plant Immune Regulation

open access: yesAdvanced Science, EarlyView.
A fluorinated hydrogen‐bonded organic framework nanocarrier (PFC‐1‐F) loaded with PYR and coated with HACC enables multi‐stimuli‐responsive (enzyme/ROS/pH) release at infection sites. Exhibiting targeted antifungal activity against Sclerotium rolfsii, modulating plant antioxidant defense, and demonstrating favorable biosafety across plant, soil, and ...
Guangming Ma   +6 more
wiley   +1 more source

A Metagenomic Survey of Wood Decay Fungi in the Urban Trees of Singapore. [PDF]

open access: yesJ Fungi (Basel), 2023
Hong Y   +18 more
europepmc   +1 more source

Thermally Processable, Transparent, Mechanically Tunable and Robust Bioplastics From Wastepaper

open access: yesAdvanced Science, EarlyView.
Unlike conventional inefficient or low‐value wastepaper recycling, a directional transformation strategy is employed to convert whole wastepaper into intact bioplastics with tunable mechanical properties in our work. These bioplastics can be processed into flexible bags or rigid containers and exhibit high transparency, water resistance, repairability,
Zhezhe Zhou   +10 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

MECHANICAL AND BIOLOGICAL PERFORMANCE OF SODIUM METAPERIODATE-IMPREGNATED PLASTICIZED WOOD (PW)

open access: yesBioResources, 2010
Malaysia, especially the Borneo Island state of Sarawak, has a large variety of tropical wood species. In this study, selected raw tropical wood species namely Artocarpus Elasticus, Artocarpus Rigidus, Xylopia spp., Koompassia Malaccensis, and Eugenia ...
Md.Rezaur Rahman   +2 more
doaj  

Changes in wood-water relations in acetylated wood over the course of Rhodonia placenta brown rot decay

open access: yesJournal of Materials Science: Materials in Engineering
Acetylation greatly increases the decay resistance of wood, but even highly acetylated wood can be degraded by fungi if given sufficient time. This study investigated the degradation of acetylated wood by the brown rot fungus Rhodonia placenta, aiming to
Tiina Belt, Michael Altgen
doaj   +1 more source

Ganoderma resinaceum and Perenniporia fraxinea: Two Promising Wood Decay Fungi for Pharmaceutical Degradation. [PDF]

open access: yesJ Fungi (Basel), 2023
Buratti S   +9 more
europepmc   +1 more source

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