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Basic Research Needs for Solar Energy Utilization - Office of ...

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<strong>for</strong> the detailed understanding and optimization <strong>of</strong> these systems is a set <strong>of</strong> complementary<br />

advances in experimental techniques <strong>for</strong> structural and functional characterization from the<br />

atomic to the macroscopic in time and space, with continual interplay between experiment and<br />

theory.<br />

<strong>Research</strong> <strong>Needs</strong><br />

New theoretical, modeling, and computational tools<br />

are required to meet the challenges <strong>of</strong> solar energy<br />

research. Currently, highly accurate quantum<br />

mechanical schemes, based on density functional<br />

theory (see Figure 53), are well established to<br />

describe ground state structures <strong>of</strong> systems consisting<br />

<strong>of</strong> up to a few hundreds <strong>of</strong> atoms. In order to<br />

successfully describe the processes that are relevant<br />

to solar energy conversion, the capability <strong>of</strong> these<br />

approaches will need to be enhanced to deal with<br />

thousands <strong>of</strong> atoms: this will require the practical<br />

implementation <strong>of</strong> novel linear scaling<br />

methodologies. In addition, methods <strong>for</strong> excited-state<br />

potential energy surfaces will have to be developed<br />

and tested. Alternative approaches to deal with<br />

excited-state properties are based on time-dependent<br />

density functional theory, on many-body perturbation<br />

theory, and on quasi-particle equations, but a<br />

consensus on their accuracy is not broadly available<br />

yet, nor have these approaches been applied to<br />

systems with the complexity <strong>of</strong> the nanoscale components <strong>of</strong> solar energy conversion devices.<br />

Better schemes <strong>for</strong> excited states also will be useful to accurately predict band-gaps and band<br />

gap line-ups in a variety <strong>of</strong> solar energy systems.<br />

<strong>Solar</strong> energy conversion processes, such as the processes that lead to photosynthesis, are<br />

characterized by activated catalytic processes, which cannot be simulated on the short time scale<br />

<strong>of</strong> molecular dynamics simulations. In this case, approaches like first-principles molecular<br />

dynamics, which use a potential energy surface generated from ground-state density functional<br />

theory, need to be supplemented by approaches <strong>for</strong> finding chemical reaction pathways both at<br />

zero and at finite temperature. These approaches should allow us to characterize the reaction<br />

intermediates and transition states in chemical and photochemical reactions in processes like<br />

water-splitting, which is essential to solar hydrogen production by hydrolysis. Ab initio quantum<br />

mechanical methods will need to be extended to deal with up to tens <strong>of</strong> thousands <strong>of</strong> atoms, by<br />

means <strong>of</strong> parameterized empirical or semi-empirical approaches. To understand the complex<br />

organization and assembly <strong>of</strong> biological light harvesting systems that are made <strong>of</strong> non-covalently<br />

bonded molecular subunits, classical <strong>for</strong>ce fields are required: these will need improved<br />

<strong>for</strong>mulations <strong>for</strong> dispersion <strong>for</strong>ces. Finally, charge and energy transfer, trapping, and<br />

recombination/relaxation processes are crucial in all energy conversion devices from<br />

photovoltaic, to photoelectrochemical, to natural (biological) systems. Modeling these processes<br />

158<br />

Figure 53 Density functional theory<br />

calculations give the optimized geometry<br />

<strong>of</strong> a (Ph2PO2)6Mn4O4 cubane complex (a<br />

quasi-cubane Mn cluster) that is relevant<br />

to photosynthesis.

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