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Jens Markert

Researcher at Otto-von-Guericke University Magdeburg

Publications -  7
Citations -  170

Jens Markert is an academic researcher from Otto-von-Guericke University Magdeburg. The author has contributed to research in topics: Hydroformylation & Catalysis. The author has an hindex of 3, co-authored 6 publications receiving 147 citations. Previous affiliations of Jens Markert include University of Erlangen-Nuremberg.

Papers
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Journal ArticleDOI

Kinetics of 1-dodecene hydroformylation in a thermomorphic solvent system using a rhodium-biphephos catalyst

TL;DR: In this article, the formation of the active catalyst was studied in preliminary experiments and a postulated catalytic cycle mechanistic kinetic model was developed considering isomerization, hydrogenation and hydroformylation reactions as well as formation of not catalytically active Rh-species.
Journal ArticleDOI

Analysis of the reaction network for the Rh-catalyzed hydroformylation of 1-dodecene in a thermomorphic multicomponent solvent system

TL;DR: In this article, a simplified reaction network was derived for the 1-dodecene hydroformylation and the main branches of the reaction network could be identified comprising also isomerizations and hydrogenations.
Proceedings ArticleDOI

ZigBee based buoy network platform for environmental monitoring and preservation: Temperature profiling for better understanding of Mucilage massive blooming

TL;DR: A novel ZigBee based buoy platform was developed, that allows temperature monitoring with high spatial resolution, and powerful tranmitters can be substituted by relatively low power ZigBit amp modules [Meshnetics].
Proceedings ArticleDOI

Use of automated in-line capable magnetic stray field measurement method for monitoring the value chain quality of magnetic circuits

TL;DR: In this paper, the authors proposed a measurement system for the characterization of electromagnetic actuators according to the detection of magnetic stray fields outside the magnetic circuit and the magnetic useful field inside the actuator that can be quantified by magnetic sensors.
Book ChapterDOI

Model-Based Optimal Design of Experiments for Determining Reaction Network Structures

TL;DR: In this paper, a new approach for optimal experimental design has been developed to support the work of chemists and process engineers in determining reaction kinetics of complex reaction networks, and the methodology is applied on sub-networks of the hydroformylation process of 1-dodecene with a Biphephos-modified rhodium catalyst in a DMF-decane thermomorphic solvent system.