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Biofunctionalization of Magnetic Nanomaterials
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Locality of conical intersections in semiconductor nanomaterials
Benjamin G Levine1, Wei-Tao Peng1, Michael P Esch1
1Department of Chemistry, Michigan State University, East Lansing, MI 48824, USA. blevine@msu.edu.
Physical Chemistry Chemical Physics : PCCP
|May 21, 2019
Summary
A new theory shows that low-energy conical intersections in nanomaterials are local, meaning they involve specific atomic orbitals and local geometry changes. This locality is key for predicting and controlling recombination rates in semiconductor materials.
Area of Science:
- Materials Science
- Quantum Chemistry
- Solid-State Physics
Background:
- Designing semiconductor nanomaterials for optoelectronics requires understanding electron recombination rates.
- Theoretical studies of conical intersections offer a pathway to predict these rates based on atomic structure.
Purpose of the Study:
- To review recent work on conical intersections in nanomaterials.
- To establish and illustrate the concept of 'locality' in low-energy conical intersections.
- To explore the implications of locality for predicting and controlling recombination.
Main Methods:
- Theoretical study of conical intersections.
- Analysis of electron excitation between localized orbitals.
- Investigation of geometric distortions influencing orbital energies.
- Case studies on silicon defects and silicon nanocrystals.
Main Results:
- Low-energy conical intersections in nanomaterials are characterized by locality.
- Locality is defined by spatially localized orbitals and geometry-tuned orbital energies.
- Demonstrated locality in silicon with dangling bond defects, pristine silicon nanocrystals, and systems with multiple defects.
- The lowest energy intersection in a two-defect system localized to a single defect.
Conclusions:
- The locality of conical intersections is a common feature in nanomaterials.
- This locality has significant implications for predicting electron recombination rates.
- Exploiting locality could enable experimental studies using molecular models for new insights into recombination processes.
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