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Ultrafast Quantum Effects and Vibrational Dynamics in Organic and Biological Systems

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  • © 2017

Overview

  • Nominated as an outstanding PhD thesis by the University of Cambridge, UK
  • Provides new insights into the role of vibrational dynamics during singlet fission of thin films of pentacene
  • Describes a comprehensive approach to analyzing nonlinear 2D spectroscopy experiments, enabling additional information to be extracted from 2D spectra
  • Crosses the divide between organic and biological light-harvesting systems, identifying key similarities between the two
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (6 chapters)

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About this book

This thesis focuses on theoretical analysis of the sophisticated ultrafast optical experiments that probe the crucial first few picoseconds of quantum light harvesting, making an important contribution to quantum biology, an exciting new field at the intersection of condensed matter, physical chemistry and biology. 

It provides new insights into the role of vibrational dynamics during singlet fission of organic pentacene thin films, and targeting the importance of vibrational dynamics in the design of nanoscale organic light harvesting devices, it also develops a new wavelet analysis technique to probe vibronic dynamics in time-resolved nonlinear optical experiments. Lastly, the thesis explores the theory of how non-linear “breather” vibrations are excited and propagate in the disordered nanostructures of photosynthetic proteins. 

 

Authors and Affiliations

  • Theory of Condensed Matter Group, Department of Physics, University of Cambridge, Cambridge, United Kingdom

    Sarah Elizabeth Morgan

About the author

Dr Sarah Morgan is a theoretical physicist interested in applying methods from physics to biological systems. After a Master's degree at the University of Exeter, she completed a PhD in the Theory of Condensed Matter group, Department of Physics, Cambridge University. Dr Morgan is now a postdoctoral research associate in Cambridge working on graph theoretical analysis of neuroimaging data.

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