Schirin Hanf

Prof. Dr. Schirin Hanf

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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6 May 2020 in Catalysts
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SHSchirin Hanf
Schirin Hanf
LRLuis Alvarado Rupflin
Luis Alvarado Rupflin
Roger GläserRoger Gläser
Roger Gläser
SSStephan Schunk
Stephan Schunk
The hydroformylation of olefins is one of the most important homogeneously catalyzed processes in industry to produce bulk chemicals. Despite the high catalytic activities and selectivity’s using rhodium-based homogeneous hydroformylation catalysts, catalyst recovery and recycling from the reaction mixture remain a challenging topic on a process level. Therefore, technical solutions involving alternate approaches with heterogeneous catalysts for the conversion of olefins into aldehydes have been considered and research activities have addressed the synthesis and development of heterogeneous rhodium-based hydroformylation catalysts. Different strategies were pursued by different groups of authors, such as the deposition of molecular rhodium complexes, metallic rhodium nanoparticles and single-atom catalysts on a solid support as well as rhodium complexes present in supported liquids. An overview of the recent developments made in the area of the heterogenization of homogeneous rhodium catalysts and their application in the hydroformylation of short-chain olefins is given. A special focus is laid on the mechanistic understanding of the heterogeneously catalyzed reactions at a molecular level in order to provide a guide for the future design of rhodium-based heterogeneous hydroformylation catalysts.

10 March 2021 in ChemCatChem
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CWChristoph Wulf
Christoph Wulf
MBMatthias Beller
Matthias Beller
TBThomas Boenisch
Thomas Boenisch
ODOlaf Deutschmann
Olaf Deutschmann
SHSchirin Hanf
Schirin Hanf
DLDavid Linke
David Linke
Modern research methods produce large amounts of scientifically valuable data. Tools to process and analyze such data have advanced rapidly. Yet, access to large amounts of high‐quality data remains limited in many fields, including catalysis research. Implementing the concept of FAIR data (Findable, Accessible, Interoperable, Reusable) in the catalysis community would improve this situation dramatically. The German NFDI initiative (National Research Data Infrastructure) aims to create a unique research data infrastructure covering all scientific disciplines. One of the consortia, NFDI4Cat, proposes a concept that serves all aspects and fields of catalysis research. We present a perspective on the challenging path ahead. Starting out from the current state, research needs are identified. A vision for a integrating all research data along the catalysis value chain, from molecule to chemical process, is developed. Respective core development topics are discussed, including ontologies, metadata, required infrastructure, IP, and the embedding into research community. This Concept paper aims to inspire not only researchers in the catalysis field, but to spark similar efforts also in other disciplines and on an international level.

21 July 2017 in Chemical Communications
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EKEvan N. Keyzer
Evan N. Keyzer
SKSky S. Kang
Sky S. Kang
SHSchirin Hanf
Schirin Hanf
DWDominic S. Wright
Dominic S. Wright
A simple methodology for the 1,4-regioselective hydroboration of pyridines has been developed using NH 4 BPh 4 to initiate a borocation-catalyzed reaction.

7 December 2016 in Chemical Communications
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RGRaúl García-Rodríguez
Raúl García-Rodríguez
SHSchirin Hanf
Schirin Hanf
ABAndrew D. Bond
Andrew D. Bond
DWDominic S. Wright
Dominic S. Wright
Here we illustrate a new method for the rapid determination of ee's of chiral alcohols using the thermally-stable, non-chiral lithium aluminate reagent [EtAl(6-Me-2-py) 3 Li] ( 1 ).

5 August 2024 in Catalysis Science & Technology
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ABAlexander S. Behr
Alexander S. Behr
DCDiana Chernenko
Diana Chernenko
DKDominik Koßmann
Dominik Koßmann
ANArjun Neyyathala
Arjun Neyyathala
SHSchirin Hanf
Schirin Hanf
NKNorbert Kockmann
Norbert Kockmann
Ontology learning and named entity recognition are used to automate text data extraction from catalysis research and organizing it into a knowledge graph. Extending the CatalysisIE model practical use of the workflow for researchers is demonstrated.

7 December 2016 in Dalton Transactions
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Journal Article
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SHSchirin Hanf
Schirin Hanf
RGR. García-Rodríguez
R. García-Rodríguez
SFS. Feldmann
S. Feldmann
ABA. D. Bond
A. D. Bond
Evamarie Hey-HawkinsEvamarie Hey-Hawkins
Evamarie Hey-Hawkins
DWD. S. Wright
D. S. Wright
The incorporation of a variety of alcohols into (amino)pyridyl-phosphine frameworks provides access to a library of multidentate (alkoxy)pyridyl-phosphines. Their coordination chemistry with Cu I is explored.