Analytic gradients in the random-phase approximation
Analytic gradients in the random-phase approximation
Analytic gradients in the random-phase approximation
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081101-4 Rekkedal et al. J. Chem. Phys. 139, 081101(2013)<br />
TABLE I. Equilibrium distances (r e ,<strong>in</strong>Å)andb<strong>in</strong>d<strong>in</strong>genergies(E, <strong>in</strong><br />
meV) for RG dimers <strong>in</strong> <strong>the</strong> aug-cc-pV5Z basis without counterpoise correction.<br />
DFT results from Ref. 18, referenceresultsfromRef.24.<br />
He 2 Ne 2 Ar 2<br />
r e E r e E r e E<br />
vdW-DF 2.82 6.6 3.07 14.1 3.92 23.1<br />
vdW-DF2 2.75 2.8 2.95 9.2 3.75 18.3<br />
PBE-D3 2.66 5.7 3.01 9.9 3.88 15.3<br />
revPBE-D3 2.90 3.0 3.20 5.6 3.93 12.8<br />
B97D-D3 3.01 0.8 3.33 4.3 3.99 11.3<br />
rVV10 2.92 0.9 3.01 5.6 3.73 13.9<br />
MP2 3.07 0.61 3.15 3.12 3.63 27.43<br />
dRPA 3.13 0.46 3.14 3.10 3.72 21.96<br />
SOSEX 3.13 0.45 3.17 2.51 3.78 16.32<br />
Reference 2.97 0.95 3.09 3.65 3.76 12.35<br />
with (selected) results of Tran and Hutter <strong>in</strong> Table I and<br />
compared with accurate reference values. The accuracy of<br />
dRPA/SOSEX is similar to that of MP2 for equilibrium distances<br />
and b<strong>in</strong>d<strong>in</strong>g energies of <strong>the</strong> RG dimers, with SOSEX<br />
<strong>in</strong>creas<strong>in</strong>g <strong>the</strong> difference between dRPA and MP2. Equilibrium<br />
distance errors from dRPA and SOSEX are less than 5%,<br />
while b<strong>in</strong>d<strong>in</strong>g energy errors range from 15% to almost 100%.<br />
None of <strong>the</strong> DFT methods <strong>in</strong> <strong>the</strong> table are consistently better<br />
than dRPA/SOSEX, and none can be considered highly accurate<br />
relative to CCSD(T), which agrees with <strong>the</strong> reference<br />
values with<strong>in</strong> 0.5% for distances and 3% for energies of <strong>the</strong><br />
RG dimers. 25<br />
III. CONCLUDING REMARKS<br />
We have presented an implementation of analytic molecular<br />
<strong>gradients</strong> us<strong>in</strong>g <strong>the</strong> Lagrangian approach for <strong>the</strong> dRPA<br />
and SOSEX methods. Our pilot implementation scales with<br />
system size M as O(M 6 ), which may be reduced us<strong>in</strong>g <strong>the</strong><br />
techniques of l<strong>in</strong>ear-scal<strong>in</strong>g CC <strong>the</strong>ories. The importance<br />
of select<strong>in</strong>g <strong>the</strong> proper stabiliz<strong>in</strong>g solution to <strong>the</strong> dRPA<br />
CARE has been highlighted. Illustrative calculations <strong>in</strong>dicate<br />
that dRPA and SOSEX deliver an accuracy on par with<br />
MP2. SOSEX does not always improve <strong>the</strong> agreement with<br />
MP2.<br />
ACKNOWLEDGMENTS<br />
This work was supported by <strong>the</strong> Research Council of<br />
Norway (RCN) through CoE Grant No. 179568/V30, by <strong>the</strong><br />
Norwegian Supercomput<strong>in</strong>g Program (Grant No. NN4654K),<br />
and by <strong>the</strong> European Research Council under <strong>the</strong> European<br />
Union Seventh Framework Program through <strong>the</strong> Advanced<br />
Grant ABACUS, ERC Grant Agreement No. 267683.<br />
A.M.T. was supported by <strong>the</strong> RCN (Grant No. 197446/V30)<br />
and a Royal Society university research fellowship. S.C.<br />
was supported by <strong>the</strong> Italian M<strong>in</strong>istero dell’Istruzione,<br />
dell’Università e della Ricerca (MIUR), PRIN2009 Grant No.<br />
2009C28YBF_001.<br />
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