Data Driven Determination of Reaction Conditions in Oxidative Coupling of Methane via Machine Learning
Sign Up to like & getrecommendations! Published in 2019 at "ChemCatChem"
DOI: 10.1002/cctc.201900843
Abstract: The challenge in catalytic reactions lies within its complexity coming from high dimensional experimental factors. In order to solve such complexity, machine learning is implemented to treat experimental conditions in high dimensions. Oxidative coupling of… read more here.
Keywords: machine; machine learning; coupling methane; experimental conditions ... See more keywords
Coding of Experimental Conditions in Microfluidic Droplet Assays Using Colored Beads and Machine Learning Supported Image Analysis.
Sign Up to like & getrecommendations! Published in 2019 at "Small"
DOI: 10.1002/smll.201802384
Abstract: To efficiently exploit the potential of several millions of droplets that can be considered as individual bioreactors in microfluidic experiments, methods to encode different experimental conditions in droplets are needed. The approach presented here is… read more here.
Keywords: coding experimental; microfluidic droplet; conditions microfluidic; droplet ... See more keywords
Control of experimental conditions in reaction flash-sintering of complex stoichiometry ceramics
Sign Up to like & getrecommendations! Published in 2020 at "Ceramics International"
DOI: 10.1016/j.ceramint.2020.05.091
Abstract: Abstract The inherent potential of reaction flash-sintering for the preparation of complex oxides is evidenced by the one-step synthesis and densification of a ceramic of complex stoichiometry. The system Bi0.93La0.07FeO3, a multiferroic ceramic with promising… read more here.
Keywords: complex stoichiometry; experimental conditions; flash sintering; control experimental ... See more keywords
Optimization of experimental conditions for the monitoring of nucleation and growth of racemic Diprophylline from the supercooled melt
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Crystal Growth"
DOI: 10.1016/j.jcrysgro.2017.03.034
Abstract: Abstract Since more and more pharmaceutical substances are developed as amorphous forms, it is nowadays of major relevance to get insights into the nucleation and growth mechanisms from supercooled melts (SCM). A step-by-step approach of… read more here.
Keywords: nucleation growth; diprophylline; optimization experimental; experimental conditions ... See more keywords
The effect of experimental conditions in root dentin microcracks detection by micro-computed tomography.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the mechanical behavior of biomedical materials"
DOI: 10.1016/j.jmbbm.2022.105108
Abstract: The aim of the study was to assess the effect of different experimental conditions on registration of microcracks by means of micro-computed tomography. Twenty roots of permanent lower incisors were instrumented with SAF system, filled… read more here.
Keywords: dentin; experimental conditions; computed tomography; effect ... See more keywords
The stoichiometric ratios (C:N:P) in a pelagic food web under experimental conditions
Sign Up to like & getrecommendations! Published in 2019 at "Limnologica"
DOI: 10.1016/j.limno.2019.125690
Abstract: Abstract Interactions between phytoplankton and zooplankton affect the overall functioning of lakes. Herbivores are habitually confronted with food of inferior quality, usually a result of low nutrient concentrations in plant material. Large-bodied cladocerans are better… read more here.
Keywords: quality; food; food web; zooplankton ... See more keywords
Design of Experimental Conditions with Machine Learning for Collaborative Organic Synthesis Reactions Using Transition-Metal Catalysts
Sign Up to like & getrecommendations! Published in 2021 at "ACS Omega"
DOI: 10.1021/acsomega.1c04826
Abstract: To improve product yields in synthetic reactions, it is important to use appropriate catalysts. In this study, we used machine learning to design catalysts for a reaction system in which both Buchwald–Hartwig-type and Suzuki–Miyaura-type cross-coupling… read more here.
Keywords: machine; machine learning; learning collaborative; experimental conditions ... See more keywords
Experimental conditions for the observation of electron-hole superfluidity in GaAs heterostructures
Sign Up to like & getrecommendations! Published in 2020 at "Physical Review B"
DOI: 10.1103/physrevb.101.140501
Abstract: The experimental parameter ranges needed to generate superfluidity in optical and drag experiments in GaAs double quantum wells are determined, using a formalism that includes self-consistent screening of the Coulomb pairing interaction in the presence… read more here.
Keywords: conditions observation; electron hole; observation electron; hole superfluidity ... See more keywords
The Effect of Lane Direction Pavement Markings on Driving Performance and Safety: A Driving Simulator Study.
Sign Up to like & getrecommendations! Published in 2022 at "Human factors"
DOI: 10.1177/00187208221099137
Abstract: OBJECTIVE A driving simulator study was conducted to test the effect of directions pavement markings (DPMs) on drivers' performance. BACKGROUND The perception of traditional direction signs may be less efficient than that of DPMs because… read more here.
Keywords: safety; driving simulator; pavement markings; simulator study ... See more keywords
Particle filter–based data assimilation in dynamic data-driven simulation: sensitivity analysis of three critical experimental conditions
Sign Up to like & getrecommendations! Published in 2022 at "SIMULATION"
DOI: 10.1177/00375497221143988
Abstract: Data assimilation (DA) is a methodology widely used by different disciplines of science and engineering. It is typically applied to continuous systems with numerical models. The application of DA to discrete-event and discrete-time systems including… read more here.
Keywords: measurement errors; particle filter; three critical; simulation ... See more keywords
Effects of Different Experimental Conditions on the Micropore Characteristics of Coal
Sign Up to like & getrecommendations! Published in 2020 at "Coke and Chemistry"
DOI: 10.3103/s1068364x20020027
Abstract: Abstract Low-temperature nitrogen adsorption experiment is widely used to analysis the micropore characteristics of coal. Effects of different experimental conditions including degassing time, degassing temperature, sample weight and sample particle size on the micropore characteristics… read more here.
Keywords: micropore characteristics; characteristics coal; different experimental; temperature ... See more keywords