Results 71 to 80 of about 3,749 (251)

A nano-sized solid acid synthesized from rice hull ash for biodiesel production

open access: yesRSC Adv., 2014
A nano-sized solid acid was synthesized from rice hull ash by acid activation. The solid acid is amorphous silica with -OH and -SO3H functional acid groups, and this catalyst exhibits excellent activity and recyclability for biodiesel production.
Danlin Zeng   +4 more
openaire   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Removal of Remazol brilliant violet textile dye by adsorption using rice hulls

open access: yesPolímeros
The release of industrial effluents into the environment causes widespread contamination of aquatic systems. Adsorption is seen as one of the most promising treatment processes, and lignocellulosic materials have gained prominence as adsorbents.
Geyse Adriana Corrêa Ribeiro   +6 more
doaj   +1 more source

Screening, fermentation conditions and application potential of a bio-organic fertilizer strain against tomato gray mold

open access: yes浙江大学学报. 农业与生命科学版, 2014
Tomato gray mold is a common disease which is caused by Botrytis cinerea and does harm to tomato seriously. Chemical control of tomato gray mold is easy to produce negative effects, such as drug resistance, pesticide residues and ecological imbalance ...
Xu Huasheng   +6 more
doaj   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Solution Synthesis of Actinide Chalcogenide and Oxychalcogenide Nanoparticles

open access: yesAngewandte Chemie, EarlyView.
We report the synthesis of UOS, UOSe, and US2 nanoparticles under colloidal conditions. The magnetic properties were measured of all three materials and compared to prior studies of UO2 nanoparticles. Nanoparticle phases were determined using powder diffraction, and size by transmission electron microscopy.
Cheyenne Orozco   +7 more
wiley   +2 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Valorization of agro-industrial by-products via aroma-rich fermentation with amazonian and food-grade fungi

open access: yesApplied Food Research
The acceptance of a food product is closely related to flavor, being aroma a key attribute. In this sense, the use of the microbial’s biochemical machinery for providing natural aromas for industrial use has evolved.
Gustavo Aparecido Martins   +6 more
doaj   +1 more source

Superhydrophobic surfaces of the water bug Notonecta glauca: a model for friction reduction and air retention

open access: yesBeilstein Journal of Nanotechnology, 2011
Superhydrophobic surfaces of plants and animals are of great interest for biomimetic applications. Whereas the self-cleaning properties of superhydrophobic surfaces have been extensively investigated, their ability to retain an air film while submerged ...
Petra Ditsche-Kuru   +5 more
doaj   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

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