Optimization and modeling of synthesis parameters of neodymium(III) bromide by dry method using full factorial design analysis
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal of Chemistry"
DOI: 10.1016/j.arabjc.2017.05.003
Abstract: Abstract The synthesis of neodymium(III) bromide (NdBr3) by sintering brominating of neodymium oxide (Nd2O3) with ammonium bromide (NH4Br) was investigated. The influence of various synthesis parameters (temperature, contact time and stoichiometry) on the reaction yield… read more here.
Keywords: neodymium iii; iii bromide; synthesis parameters; reaction yield ... See more keywords
The role of flow features and chemical kinetics on the reaction yield in a T-shaped micro-reactor
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Engineering Journal"
DOI: 10.1016/j.cej.2020.125223
Abstract: Abstract The effect of flow regimes on the reaction yield of a chemical reaction occurring in a T-shaped micro-reactor is investigated both experimentally and numerically by spanning different Reynolds and Damkohler numbers. The experimental set-up… read more here.
Keywords: shaped micro; micro reactor; yield; reaction yield ... See more keywords
Formation mechanism and antisite defects of scalable room-temperature aqueous synthesis of SnSe: Effects of the pH value on the reaction yield, mean crystallite size, chemical composition, and carrier concentration
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Alloys and Compounds"
DOI: 10.1016/j.jallcom.2020.158250
Abstract: Abstract A simple and scalable wet chemical method was adopted to synthesize a series of single-phase nanosized SnSe at room temperature with the solution controlled at various pH values. The lattice constants, chemical compositions, carrier… read more here.
Keywords: antisite defects; room temperature; reaction yield; reaction ... See more keywords
Predicting Reaction Yields via Supervised Learning.
Sign Up to like & getrecommendations! Published in 2021 at "Accounts of chemical research"
DOI: 10.1021/acs.accounts.0c00770
Abstract: ConspectusNumerous disciplines, such as image recognition and language translation, have been revolutionized by using machine learning (ML) to leverage big data. In organic synthesis, providing accurate chemical reactivity predictions with supervised ML could assist chemists… read more here.
Keywords: data sets; predicting reaction; model; reaction ... See more keywords
Machine Learning C–N Couplings: Obstacles for a General-Purpose Reaction Yield Prediction
Sign Up to like & getrecommendations! Published in 2023 at "ACS Omega"
DOI: 10.1021/acsomega.2c05546
Abstract: Pd-catalyzed C–N couplings are commonplace in academia and industry. Despite their significance, finding suitable reaction conditions leading to a high yield, for instance, remains a challenging and time-consuming task which usually requires screening over many… read more here.
Keywords: reaction; reaction yield; machine learning; yield prediction ... See more keywords