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The Journal of Organic Chemistry|June 22, 2007
An algorithm for the deconvolution of mass spectroscopic patterns in isotope labeling studies. Evaluation for the hydrogen-deuterium exchange reaction in ketonesChristian C Gruber, Gustav Oberdorfer, Constance V Voss, et al.
Physical Chemistry Chemical Physics : PCCP|July 14, 2010
Electromagnetic simulations of microwave heating experiments using reaction vessels made out of silicon carbideJohn Robinson, Sam Kingman, Derek Irvine, et al.
Physical Chemistry Chemical Physics : PCCP|April 30, 2010
Understanding microwave heating effects in single mode type cavities-theory and experimentJohn Robinson, Sam Kingman, Derek Irvine, et al.
The Journal of Organic Chemistry|April 7, 2015
A sequential Ugi multicomponent/Cu-catalyzed azide-alkyne cycloaddition approach for the continuous flow generation of cyclic peptoidsCarlos Eduardo M Salvador, Bartholomäus Pieber, Philipp M Neu, et al.
Carbohydrate Polymers|April 3, 2013
In situ preparation of silver nanocomposites on cellulosic fibers--microwave vs. conventional heatingDoris Breitwieser, Mojtaba Mirhosseini Moghaddam, Stefan Spirk, et al.
The Journal of Organic Chemistry|January 30, 2014
Continuous flow synthesis of α-halo ketones: essential building blocks of antiretroviral agentsVagner D Pinho, Bernhard Gutmann, Leandro S M Miranda, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|November 26, 2015
Diazo Strategy for the Synthesis of Pyridazines: Pivotal Impact of the Configuration of the Diazo Precursor on the ProcessValerij A Nikolaev, David Cantillo, C Oliver Kappe, et al.
Chemical Science|October 27, 2025
Leveraging an intelligent slug flow platform for self-optimization of reaction systems with categorical variablesFlorian L Wagner, Gernot Neun, Thomas Tampone, et al.
Inorganic Chemistry|December 15, 2010
Investigation of the formation of CuInS2 nanoparticles by the oleylamine route: comparison of microwave-assisted and conventional synthesesAndreas Pein, Mostafa Baghbanzadeh, Thomas Rath, et al.
RSC Advances|September 15, 2025
FlowMat: a toolbox for modeling flow reactors using physics-based and machine learning approaches for modular simulation, parameter identification, and reactor optimizationSebastian Knoll, Klara Silber, Jason D Williams, et al.
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