multiplexed reaction mixtures [ 28 ].
Library Design and MachineLearning
One of the critical factors in drug discovery and optimization is the time required to close the loop of the design–synthesize–screen cycle between biological
In this Section of the journal, the literature on continuous flow synthesis (primarily organic synthesis and functional materials) from the period of October — December 2016 is presented. All the publications are listed ordered by journal name, with two Review articles appearing at the end. In this quarter the number of papers on continuous flow organic synthesis is relatively less as a few special issues are planned in the coming months. Two contributions on machine learning for optimization in flow synthesis and the scale-up of continuous flow reactors from Eli Lilly are the real highlights of this quarter!
Authors:András Bidló, Adrienn Horváth, and Gábor Veperdi
. , Mátyás , C. , Bidló , A. and Gálos , B.
2018 . Machinelearning approximation of Járó-table (table of applicable targeted forest stands and their growth for each forest site) . (in Hungarian) Erdészettudományi Közlemények . 8 . ( 1
], and these stand to become more refined and powerful with the help of machinelearning neural networks [ 60 ]. These new tools, in the hands of chemists and engineers, have the potential to help improve decision making and accelerate research. As a