Optoelectronic properties of Au18(SR)14 are modulated by Ag doping, and its influence on photoelectrochemical performance is investigated. The best compromise for light conversion efficiency is made when a single Ag atom is incorporated.
Most
torsional barriers are predicted with high accuracies (about
1 kJ/mol) by standard semilocal functionals, but a small subset was
found to have much larger errors. We created a database of almost
300 carbon–carbon torsional barriers, including 12 poorly behaved
barriers, that stem from the YCX group, where Y is
O or S and X is a halide. Functionals with enhanced exchange mixing
(about 50%) worked well for all barriers. We found that poor actors
have delocalization errors caused by hyperconjugation. These problematic
calculations are density-sensitive (i.e., DFT predictions change noticeably
with the density), and using HF densities (HF-DFT) fixes these issues.
For example, conventional B3LYP performs as accurately as exchange-enhanced
functionals if the HF density is used. For long-chain conjugated molecules,
HF-DFT can be much better than exchange-enhanced functionals. We suggest
that HF-PBE0 has the best overall performance.
Most torsional barriers are predicted to high accuracy (about 1 kJ/mol) by standard semilocal functionals, but a small subset has been found to have much larger errors. We create a database of almost 300 carbon-carbon torsional barriers, including 12 poorly behaved barriers, all stemming from Y=C-X group, where X is O or S, and Y is a halide. Functionals with enhanced exchange mixing (about 50%) work well for all barriers. We find that poor actors have delocalization errors caused by hyperconjugation. These problematic calculations are density sensitive (i.e., DFT predictions change noticeably with the density), and using HF densities (HF-DFT) fixes these issues. For example, conventional B3LYP performs as accurately as exchange-enhanced functionals if the HF density is used. For long-chain conjugated molecules, HF-DFT can be much better than exchange-enhanced functionals. We suggest that HF-PBE0 has the best overall performance.
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