Results 51 to 60 of about 66,796 (260)

Biosurfactants: A Covid-19 Perspective

open access: yesFrontiers in Microbiology, 2020
The recent outbreak in severe acute respiratory syndrome – coronavirus-2 (SARS-CoV-2) has demonstrated the complete inability of nations across the world to cope with the pressures of a global pandemic, especially one in which the only current feasible ...
Matthew L. Smith   +4 more
doaj   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

Antimicrobial activity of natural soaps tested by Bioscreen methodology

open access: yesБіологічні студії, 2020
The aim of this study was to combine the utilization of waste frying oils within soap making process in order to make useful and environmentally friendly solutions and development of methods for determination of the antimicrobial effect of those created ...
B. Antonić   +3 more
doaj   +1 more source

Soaps and Serials [PDF]

open access: yesJournal of Pidgin and Creole Languages, 1994
Item does not contain ...
openaire   +3 more sources

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

Epidemic cholera in Kakuma Refugee Camp, Kenya, 2009: the importance of sanitation and soap

open access: yesJournal of Infection in Developing Countries, 2011
Introduction: Cholera remains a major public health problem that causes substantial morbidity and mortality in displaced populations due to inadequate or unprotected water supplies, poor sanitation and hygiene, overcrowding, and limited resources.
Abdirahman Sheikh Mahamud   +10 more
doaj   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Orquestación de Servicios RESTful y SOAP: Caso de estudio, asignación de visas Americanas

open access: yesLatin-American Journal of Computing, 2021
Este artículo presenta el análisis de un caso de asignación de visas americanas mediante la extracción de información de diferentes entidades. Para este problema se utilizan las siguientes fuentes de datos: i) información personal del solicitante, ii ...
Jhon Calle   +3 more
doaj  

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

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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