Results 71 to 80 of about 113,894 (297)
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
THE USE OF HYDROLATE FIREWEED IN THE PRODUCTION OF ORGANIC SOAP
Promising natural ingredients in the production of organic Soaps include herbs, oils, powders from vegetable raw materials. Received hydrolat willow-herb and the possibility of its use in the production of natural Soaps.
Ekaterina Nikolaevna Kholodova +1 more
doaj
Managing plant pests with soaps
Home gardeners and professionals frequently discuss the use of soap products to control plant pests. Limited and conflicting information on this topic has resulted in confusion and misuse of products.
Matthew A. Borden, Adam G. Dale
doaj +1 more source
This experiment proposes to melt and remould a plain bar of white soap into an attractive new shapeEnsino Fundamental::Séries Finais::Ciências NaturaisEnsino Fundamental Inicial::Ciências ...
Science Museum
core
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
This article explores the global history of fat as both a vital nutrient and a versatile industrial commodity from the nineteenth to early twentieth centuries.
Ines Prodöhl
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
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
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
The increasing consumption of cooking oil in Indonesia has led to a substantial rise in waste cooking oil generated from households. Improper disposal of this waste contributes to environmental pollution, including water contamination, drainage blockage,
Fida Afifah +2 more
doaj +1 more source
Video footage from the WBAP-TV station in Fort Worth, Texas to accompany a news story about a movie party for those who will compete in the Fort Worth Soap Box ...
WBAP-TV (Television station : Fort Worth, Tex.)
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