A Caltech Library Service

Ab initio determination of the crystalline benzene lattice energy to sub-kilojoule/mole accuracy

Yang, Jun and Hu, Weifeng and Usvyat, Denis and Matthews, Devin and Schütz, Martin and Chan, Garnet Kin-Lic (2014) Ab initio determination of the crystalline benzene lattice energy to sub-kilojoule/mole accuracy. Science, 345 (6197). pp. 640-643. ISSN 0036-8075. doi:10.1126/science.1254419.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


Computation of lattice energies to an accuracy sufficient to distinguish polymorphs is a fundamental bottleneck in crystal structure prediction. For the lattice energy of the prototypical benzene crystal, we combined the quantum chemical advances of the last decade to attain sub-kilojoule per mole accuracy, an order-of-magnitude improvement in certainty over prior calculations that necessitates revision of the experimental extrapolation to 0 kelvin. Our computations reveal the nature of binding by improving on previously inaccessible or inaccurate multibody and many-electron contributions and provide revised estimates of the effects of temperature, vibrations, and relaxation. Our demonstration raises prospects for definitive first-principles resolution of competing polymorphs in molecular crystal structure prediction.

Item Type:Article
Related URLs:
URLURL TypeDescription
Yang, Jun0000-0001-8701-9297
Chan, Garnet Kin-Lic0000-0001-8009-6038
Additional Information:© 2014, American Association for the Advancement of Science. 4 April 2014; accepted 8 July 2014. We acknowledge many helpful discussions with C. D. Sherrill, G. J. O. Beran, and R. Podeszwa. We especially thank R. Podeszwa for providing the detailed data on dimer and trimer geometries and A. Tkatchenko for providing unpublished ZPE data. Work performed by J.Y., W.H., and G.K.-L.C. was supported by the U.S. Department of Energy under grant no. DE-SC0008624, with secondary support from grant no. DE-SC0010530. The DMRG software package BLOCK used in part of this work was developed with primary funding from NSF grant no. OCI-1265278. BLOCK implements theoretical methods developed under NSF grant no. CHE-1265277. D.M. was supported by the U.S. Department of Energy through a Computational Science Graduate Fellowship, funded by grant no. DE-FG02-7ER25308. D.U. and M.S. acknowledge financial support from the Deutsche Forschungsgemeinschaft (DFG), grants US-103/1-1 and SCHU 1456/12-1.
Funding AgencyGrant Number
Department of Energy (DOE)DE-SC0008624
Department of Energy (DOE)DE-SC0010530
Department of Energy (DOE)DE-FG02-97ER25308
Deutsche Forschungsgemeinschaft (DFG)US-103/1-1
Deutsche Forschungsgemeinschaft (DFG)SCHU 1456/12-1
Issue or Number:6197
Record Number:CaltechAUTHORS:20170106-143646830
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73310
Deposited By: Donna Wrublewski
Deposited On:07 Jan 2017 00:27
Last Modified:11 Nov 2021 05:14

Repository Staff Only: item control page