Results 151 to 160 of about 62,059 (262)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Improving the Physicochemical Properties, Organic Acids, Amino Acids, Volatile Organic Compounds, and Metabolites of Laohan Melon Juice Through Fermentation With Different Lactic Acid Bacteria

open access: yesAgriFood: Journal of Agricultural Products for Food, EarlyView.
Fermentation with lactic acid bacteria could improve amino acids, volatile organic compounds (VOCs), and nonvolatile metabolites of Laohan melon juice (LMJ), which provides theoretical guidance for the development of Laohan melon beverage and advances knowledge of the metabolic mechanisms of VOCs in LMJ.
Yun Xie   +12 more
wiley   +1 more source

The Antidiabetic Potential of Alpha‐Mangostin: A Review of Preclinical and Clinical Evidence

open access: yesAgriFood: Journal of Agricultural Products for Food, EarlyView.
Alpha‐mangostin is a compound from the pericarp of Garcinia mangostana. The antidiabetic effects of alpha‐mangostin include enhancing insulin secretion, improving glucose uptake through GLUT receptor upregulation, reducing oxidative stress and inflammation, promoting wound healing, reducing HbA1C, reducing HOMA‐IR index, and decreased mRNA expressions ...
Oliver Dean John   +4 more
wiley   +1 more source

How small changes to methylated piperidinium cations impact the synthesis of zeolite SSZ‐39

open access: yesAIChE Journal, EarlyView.
Abstract Here we report a synthesis study of SSZ‐39 with four different organic structure directing agents (OSDA). The goal was to determine how subtle changes to the OSDA architecture impact crystallization kinetics, material composition, and other properties.
Onyinyechukwu Ukagha, Daniel F. Shantz
wiley   +1 more source

Generative and Experimental Validation of High Refractive Index Polymers via Domain Knowledge Approach with Small Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo   +3 more
wiley   +1 more source

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