Michael Schmittel

Prof. Michael Schmittel

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Research Focus & Metrics

Academic Career Length

46Years (1981-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 February 2010 in Chemical Society Reviews
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SDSoumen De
Soumen De
KMKingsuk Mahata
Kingsuk Mahata
MSMichael Schmittel
Michael Schmittel
Dynamic heteroleptic coordination at metal centres is quite common in Nature and often related to a specific biological function, such as in zinc finger proteins and in hemoglobin for oxygen transport. To achieve the required high heteroleptic fidelity, representative biological systems avail themselves of “intramolecular” multidentate coordination using the protein backbone as a “superligand”. In contrast, dynamic heteroleptic coordination at a single metal centre in solution requires to bind different freely exchanging ligands under thermodynamic control. In this tutorial review we present the emerging principles of how to assemble dissimilar ligands at dynamically exchanging metal centres, with a particular emphasis on using the precepts for the fabrication of heteroleptic supramolecular assemblies in solution.

15 December 1997 in Angewandte Chemie International Edition
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MSMichael Schmittel
Michael Schmittel
ABArmin Burghart
Armin Burghart


17 March 2010 in Journal of the American Chemical Society
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Journal Article
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RGRico Gutzler
Rico Gutzler
TSThomas Sirtl
Thomas Sirtl
JDJürgen F. Dienstmaier
Jürgen F. Dienstmaier
KMKingsuk Mahata
Kingsuk Mahata
WHWolfgang M. Heckl
Wolfgang M. Heckl
MLMarkus Lackinger
Markus Lackinger

18 July 2014 in ACS Nano
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Journal Article
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JEJohanna Eichhorn
Johanna Eichhorn
DNDamian Nieckarz
Damian Nieckarz
OOOliver Ochs
Oliver Ochs
DSDebabrata Samanta
Debabrata Samanta
MSMichael Schmittel
Michael Schmittel
MLMarkus Lackinger
Markus Lackinger

27 April 2012 in Organic & Biomolecular Chemistry
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MSManik Lal Saha
Manik Lal Saha
MSMichael Schmittel
Michael Schmittel
Self-sorting represents the spontaneous and high fidelity self and/or non-self-recognition of two or more related components within a complex mixture. While the effective management of self-sorting principles perceptibly requires some key expertise in molecular programming, at a higher stage of operation it is of supreme interest to guide the process to increasingly higher degrees of self-sorting. In this article, we present the emerging principles of how to guide several components toward formation of self-sorted multicomponent architectures. To provide further guidance in denominating such systems, we suggest to utilise a systematic classification as well as a formula to evaluate their degree of self-sorting (M).