Quantum Mechanics Key to Understanding Light-Harvesting Reactions
The paradox in quantum mechanics is the way a particle, such as an electron, can appear to be in two places at once. This duality lies at the heart of quantum physics and may be the key to how nature harvests light, converting it to chemical energy.
Eric Bittner, Moores Professor of Chemical Physics, received a 3-year $450K grant
from the National Science Foundation to study electron transfer systems in light-harvesting
bacterial chromophores.鈥淚n quantum mechanics, there鈥檚 a communication between the different possible locations
that is entirely due to electron dynamics,鈥� said Eric Bittner, Moores Professor of
Chemical Physics at the 葫芦影业.
Bittner studies this mechanism in the context of electron transfer systems, which are a class of materials used for light harvesting or energy conversion. His research is the recipient of a recent three-year, $450,000 grant from the National Science Foundation.
Light-Harvesting Reactions: Optimized Pathways
Along with collaborators at the University of Michigan, Bittner鈥檚 research group will be examining electron transfer reactions in light-harvesting bacterial chromophores, which convert light energy to chemical energy.
Light-harvesting reactions work by energizing electrons, which will then get transferred from one complex to another, releasing energy at each step. This energy is harvested and stored through a series of reactions.
鈥淣ature has figured out how to optimize these pathways after billions of years of evolution,鈥� Bittner said, 鈥淲e want to discover what those pathways are.鈥�
Algorithm to Predict Electronic Coupling
They鈥檒l accomplish this with an algorithm, developed by Bittner鈥檚 research group, which can predict the coupling between nuclear motions and electron movement. Results demonstrating the functionality of this algorithm were recently published in the journal .
鈥淭his is a predictive algorithm, one that makes a guess, refines the guess, then makes another guess, until it arrives at the optimal condition,鈥� Bittner said. 鈥淭his algorithm is similar in principle to the intelligent search algorithms used by Netflix and Google.鈥�
In these electron transfer systems, the interaction between nuclear motions and electron dynamics can affect electron movement. Certain nuclear motions can have a dampening effect on electronic movement, while others will simply have no effect.
Bittner and collaborators will be using their algorithm to predict these pathways. Doing so is a lengthy process, one that requires thousands of calculations that will take a high-performance computer months to perform.
However, there are benefits.
鈥淥ne of the advantages of this algorithm is that it does not need to rely upon previous assumptions to find an answer,鈥� Bittner said.
- Rachel Fairbank, College of Natural Sciences and Mathematics