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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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