Abstract
We discuss a low-cost computational workflow for
the high-throughput screening of polymeric photocatalysts and demonstrate its utility
by applying it to a number of challenging problems that would be difficult to
tackle otherwise. Specifically we show how having access to a low-cost method
allows one to screen a vast chemical space, as well as to probe the effects of
conformational degrees of freedom and sequence isomerism. Finally, we discuss
both the opportunities of computational screening in the search for polymer
photocatalysts, as well as the biggest challenges.
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