Experimentally validated machine learning predictions of ultralow thermal conductivity for SnSe materials
NK Barua, A Golabek, AO Oliynyk… - Journal of Materials …, 2023 - pubs.rsc.org
Machine-learning (ML) models are used to predict optimal thermoelectric properties for
efficient thermoelectric devices. Often, ML models utilize available databases or published …
efficient thermoelectric devices. Often, ML models utilize available databases or published …
A vessel-inside-vessel microwave-assisted digestion method based on SO3 generation in situ for the mineral determination of fatty samples
ACR Magalhães, AS Dos Santos, MC Tavares… - Talanta, 2021 - Elsevier
Vessel-inside-vessel microwave-assisted acid digestion was developed for the analysis of
samples with high-unsaturated fat content. For the first time, thermal decomposition of (NH 4) …
samples with high-unsaturated fat content. For the first time, thermal decomposition of (NH 4) …
Fractionation of essential oils: potential application in the control of microorganisms
MR Pansera, WP Silvestre… - Caderno …, 2024 - ojs.studiespublicacoes.com.br
Medicinal and aromatic plants are essential to the planet's biodiversity, ecosystems, and
biological history. Consumer interest in natural products has increased recently as they …
biological history. Consumer interest in natural products has increased recently as they …
[PDF][PDF] Modelagem termodinâmica do equilíbrio líquido-vapor do sistema Citronelol-Geraniol
JGM Hartz - 2022 - repositorio.pucrs.br
Óleos essenciais são metabólitos secundários dos vegetais que apresentam propriedades
biológicas, tornando a obtenção de frações enriquecidas de compostos constituintes um …
biológicas, tornando a obtenção de frações enriquecidas de compostos constituintes um …