Results 51 to 60 of about 66,796 (260)
Biosurfactants: A Covid-19 Perspective
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
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
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
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
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
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
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
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

