Nano Chemistry

The central role of chemistry in nanoscience is evident from the past 100 years of development of the chemical toolbox. Chemists today are capable of designing and synthesizing almost any imaginable compound; organic or inorganic.

Whereas chemistry has traditionally focused on basic understanding of relationship between structure and reaction, nanochemistry seeks to define and exploit the laws that govern self-assembly, quantum effects, and other fundamental nano scale phenomena.

In that way chemists can make a strong and very important contribution to the broad interdisciplinary field of Nanoscience because chemists can make new systems and study how properties change when the building blocks are changed in a systematic way.

This preparative approach towards elucidation of fundamental scientific questions has proven tremendously successful in the past.

The overall aim of the nanochemistry research is to extend this approach, combined with new structural, optical and electronic tools, to reveal secrets of nanoscale assemblies. In particular we wish to develop our understanding of fundamental principles of chemical and biological self-organization as well as the intrinsic properties of new nanosystems with intriguing chemical, biological, or physical properties.

If you are interested in doing a project at the NanoChemistry Group you are more than welcome to come over and talk to one of us. All the projects can be tuned to fit your interests, and you are part of that process. 

Key areas of interest are: molecular electronics, fluorescence, optical sensors, graphene, and molecular self-assembly.

 

 

 

 

 

 

 

 

Contact

Nano Chemistry

Nano-Science Center, Department of Chemistry, Universitetsparken 5, DK-2100 Copenhagen Ø

Bo W. Laursen 

Professor
Office: CS16
Phone: +45 3532 1881
Cell: +45 4043 3881
E-mail: bwl@chem.ku.dk 

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Seminars & Events

  • 3 July 2020, 10:00

    PhD DEFENSE: Johannes Thomsen

    On 3 July at 10:00 Johannes Thomsen will give a public lecture on his PhD thesis titled 'Investigating Stochastic Behavior of Individual Proteins and Their Assemblies: Experimental and Machine Learning Methodologies'.  ... »

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