The S66x8 benchmark for noncovalent interactions revisited: explicitly correlated ab initio methods and density functional theory
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The S66x8 dataset for noncovalent interactions of biochemical relevance has been re-examined by means of CCSD(F12*)(T), DFT, and SAPT methods.
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COMP6 contains five rigorous benchmarks covering broad regions of organic and bio-chemical space of isolated molecules and a sixth built from the existing S66x8 noncovalent and intermolecular interactions data.
“COMP6 is a benchmark suite containing five rigorous benchmarks that cover broad regions of organic and bio-chemical space of isolated molecules and a sixth built from the existing S66x8195 noncovalent and intermolecular interactions data.191”
From QSAR without borders (2020) · cites this paper as [195]
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Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824 · see citing works
Density-functional thermochemistry. III. The role of exact exchange
Becke, A. D. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464913 · Cited by 103,767 · see citing works
Lee, C., Yang, W., & Parr, R. G. (1988) · Physical Review B · doi:10.1103/physrevb.37.785 · Cited by 100,874 · see citing works
Grimme, S., Antony, J., Ehrlich, S., & Krieg, H. (2010) · The Journal of Chemical Physics · doi:10.1063/1.3382344 · Cited by 59,686 · see citing works
Density-functional exchange-energy approximation with correct asymptotic behavior
Becke, A. D. (1988) · Physical Review A · doi:10.1103/physreva.38.3098 · Cited by 53,837 · see citing works
Dunning, T. H. (1989) · The Journal of Chemical Physics · doi:10.1063/1.456153 · Cited by 31,693 · see citing works
Semiempirical GGA‐type density functional constructed with a long‐range dispersion correction
Grimme, S. (2006) · Journal of Computational Chemistry · doi:10.1002/jcc.20495 · Cited by 30,925 · see citing works
Weigend, F., & Ahlrichs, R. (2005) · Physical Chemistry Chemical Physics · doi:10.1039/b508541a · Cited by 30,761 · see citing works
Zhao, Y., & Truhlar, D. G. (2007) · Theoretical Chemistry Accounts · doi:10.1007/s00214-007-0310-x · Cited by 30,407 · see citing works
Effect of the damping function in dispersion corrected density functional theory
Grimme, S., Ehrlich, S., & Goerigk, L. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21759 · Cited by 28,221 · see citing works
Stephens, P. J., Devlin, F. J., Chabalowski, C. F., & Frisch, M. J. (1994) · The Journal of Physical Chemistry · doi:10.1021/j100096a001 · Cited by 23,329 · see citing works
Toward reliable density functional methods without adjustable parameters: The PBE0 model
Adamo, C., & Barone, V. (1999) · The Journal of Chemical Physics · doi:10.1063/1.478522 · Cited by 19,137 · see citing works
Density-functional approximation for the correlation energy of the inhomogeneous electron gas
Perdew, J. P. (1986) · Physical review. B, Condensed matter · doi:10.1103/physrevb.33.8822 · Cited by 18,762 · see citing works
A new mixing of Hartree–Fock and local density-functional theories
Becke, A. D. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464304 · Cited by 16,515 · see citing works
Electron affinities of the first-row atoms revisited. Systematic basis sets and wave functions
Kendall, R. A., Dunning, T. H., & Harrison, R. J. (1992) · The Journal of Chemical Physics · doi:10.1063/1.462569 · Cited by 15,736 · see citing works
A new hybrid exchange–correlation functional using the Coulomb-attenuating method (CAM-B3LYP)
Yanai, T., Tew, D. P., & Handy, N. C. (2004) · Chemical Physics Letters · doi:10.1016/j.cplett.2004.06.011 · Cited by 15,047 · see citing works
Neese, F. (2011) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.81 · Cited by 13,611 · see citing works
Woon, D. E., & Dunning, T. H. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464303 · Cited by 9,612 · see citing works
Tao, J., Perdew, J. P., Staroverov, V. N., & Scuseria, G. E. (2003) · Physical Review Letters · doi:10.1103/physrevlett.91.146401 · Cited by 7,107 · see citing works
Semiempirical hybrid density functional with perturbative second-order correlation
Grimme, S. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2148954 · Cited by 3,388 · see citing works
Property-optimized Gaussian basis sets for molecular response calculations
Rappoport, D., & Furche, F. (2010) · The Journal of Chemical Physics · doi:10.1063/1.3484283 · Cited by 2,113 · see citing works
A simple and efficient CCSD(T)-F12 approximation
Adler, T. B., Knizia, G., & Werner, H. (2007) · The Journal of Chemical Physics · doi:10.1063/1.2817618 · Cited by 2,044 · see citing works
Stewart, J. J. P. (2012) · Journal of Molecular Modeling · doi:10.1007/s00894-012-1667-x · Cited by 2,028 · see citing works
Jurečka, P., Šponer, J., Černý, J., & Hobza, P. (2006) · Physical Chemistry Chemical Physics · doi:10.1039/b600027d · Cited by 1,854 · see citing works
Peterson, K. A., Woon, D. E., & Dunning, T. H. (1994) · The Journal of Chemical Physics · doi:10.1063/1.466884 · Cited by 1,838 · see citing works
Assessment of a long-range corrected hybrid functional
Vydrov, O. A., & Scuseria, G. E. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2409292 · Cited by 1,784 · see citing works
Grimme, S. (2003) · The Journal of Chemical Physics · doi:10.1063/1.1569242 · Cited by 1,748 · see citing works
Jacob’s ladder of density functional approximations for the exchange-correlation energy
Perdew, J. P. (2001) · AIP conference proceedings · doi:10.1063/1.1390175 · Cited by 1,497 · see citing works
Peterson, K. A., Adler, T. B., & Werner, H. (2008) · The Journal of Chemical Physics · doi:10.1063/1.2831537 · Cited by 1,463 · see citing works
RI-MP2: first derivatives and global consistency
Weigend, F., & Häser, M. (1997) · Theoretical Chemistry Accounts · doi:10.1007/s002140050269 · Cited by 1,456 · see citing works
Wang, Y., & Perdew, J. P. (1991) · Physical review. B, Condensed matter · doi:10.1103/physrevb.44.13298 · Cited by 1,455 · see citing works
Nonlocal van der Waals density functional: The simpler the better
Vydrov, O. A., & Voorhis, T. V. (2010) · The Journal of Chemical Physics · doi:10.1063/1.3521275 · Cited by 1,314 · see citing works
The BOBYQA algorithm for bound constrained optimization without derivatives
Powell, M. J. D. (2009) · Cited by 1,094 · see citing works
Psi4: an open‐source ab initio electronic structure program
Turney, J. M., Simmonett, A. C., Parrish, R. M., Hohenstein, E. G., Evangelista, F. A., Fermann, J. T., Mintz, B. J., Burns, L. A., Wilke, J. J., Abrams, M. L., et al. (2011) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.93 · Cited by 1,089 · see citing works
Schwabe, T., & Grimme, S. (2007) · Physical Chemistry Chemical Physics · doi:10.1039/b704725h · Cited by 1,087 · see citing works
Klimeš, J., & Michaelides, A. (2012) · Journal of Chemical Physics · doi:10.1063/1.4754130 · Cited by 1,028 · see citing works
Improving the Accuracy of Hybrid Meta-GGA Density Functionals by Range Separation
Peverati, R., & Truhlar, D. G. (2011) · The Journal of Physical Chemistry Letters · doi:10.1021/jz201170d · Cited by 1,025 · see citing works
S66: A Well-balanced Database of Benchmark Interaction Energies Relevant to Biomolecular Structures
Řezáč, J., Riley, K. E., & Hobza, P. (2011) · Journal of Chemical Theory and Computation · doi:10.1021/ct2002946 · Cited by 1,022 · see citing works
Long-Range Corrected Hybrid Density Functionals with Improved Dispersion Corrections
Lin, Y.-S., Li, G.-D., Mao, S.-P., & Chai, J. (2012) · Journal of Chemical Theory and Computation · doi:10.1021/ct300715s · Cited by 988 · see citing works
Mardirossian, N., & Head-Gordon, M. (2014) · Physical Chemistry Chemical Physics · doi:10.1039/c3cp54374a · Cited by 986 · see citing works
Parker, T. M., Burns, L. A., Parrish, R. M., Ryno, A. G., & Sherrill, C. D. (2014) · The Journal of Chemical Physics · doi:10.1063/1.4867135 · Cited by 902 · see citing works
Improved Peptide and Protein Torsional Energetics with the OPLS-AA Force Field
Robertson, M. J., Tirado‐Rives, J., & Jorgensen, W. L. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00356 · Cited by 858 · see citing works
Perspectives on Basis Sets Beautiful: Seasonal Plantings of Diffuse Basis Functions
Papajak, E., Zheng, J., Xu, X., Leverentz, H. R., & Truhlar, D. G. (2011) · Journal of Chemical Theory and Computation · doi:10.1021/ct200106a · Cited by 782 · see citing works
Karton, A., Tarnopolsky, A., Lamère, J., Schatz, G. C., & Martin, J. M. L. (2008) · The Journal of Physical Chemistry A · doi:10.1021/jp801805p · Cited by 775 · see citing works
Self-citationHartree–Fock exchange fitting basis sets for H to Rn †
Weigend, F. (2007) · Journal of Computational Chemistry · doi:10.1002/jcc.20702 · Cited by 769 · see citing works
Hättig, C. (2004) · Physical Chemistry Chemical Physics · doi:10.1039/b415208e · Cited by 744 · see citing works
Symmetry‐adapted perturbation theory of intermolecular forces
Szalewicz, K. (2011) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.86 · Cited by 682 · see citing works
Kesharwani, M. K., Brauer, B., & Martin, J. M. L. (2014) · The Journal of Physical Chemistry A · doi:10.1021/jp508422u · Cited by 650 · see citing works
Self-citationA Density Functional with Spherical Atom Dispersion Terms
Austin, A. J., Petersson, G. A., Frisch, M. J., Dobek, F. J., Scalmani, G., & Throssell, K. (2012) · Journal of Chemical Theory and Computation · doi:10.1021/ct300778e · Cited by 643 · see citing works
Optimized auxiliary basis sets for explicitly correlated methods
Yousaf, K. E., & Peterson, K. A. (2008) · The Journal of Chemical Physics · doi:10.1063/1.3009271 · Cited by 569 · see citing works
Kozuch, S., & Martin, J. M. L. (2011) · Physical Chemistry Chemical Physics · doi:10.1039/c1cp22592h · Cited by 562 · see citing works
Self-citationTurner, M. J., Grabowsky, S., Jayatilaka, D., & Spackman, M. A. (2014) · The Journal of Physical Chemistry Letters · doi:10.1021/jz502271c · Cited by 553 · see citing works
Explicitly Correlated Electrons in Molecules
Hättig, C., Klopper, W., Köhn, A., & Tew, D. P. (2011) · Chemical Reviews · doi:10.1021/cr200168z · Cited by 534 · see citing works
Explicitly Correlated R12/F12 Methods for Electronic Structure
Kong, L., Bischoff, F. A., & Valeev, E. F. (2012) · Chemical Reviews · doi:10.1021/cr200204r · Cited by 509 · see citing works
Initiation of explicitly correlated Slater-type geminal theory
Ten‐no, S. (2004) · Chemical Physics Letters · doi:10.1016/j.cplett.2004.09.041 · Cited by 495 · see citing works
Kendall, R. A., & Früchtl, H. (1997) · Theoretical Chemistry Accounts · doi:10.1007/s002140050249 · Cited by 470 · see citing works
Wavefunction methods for noncovalent interactions
Hohenstein, E., & Sherrill, C. (2012) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.84 · Cited by 430 · see citing works
Electron correlation methods based on the random phase approximation
Eshuis, H., Bates, J. E., & Furche, F. (2012) · Theoretical Chemistry Accounts · doi:10.1007/s00214-011-1084-8 · Cited by 427 · see citing works
Kozuch, S., & Martin, J. M. L. (2013) · Journal of Computational Chemistry · doi:10.1002/jcc.23391 · Cited by 416 · see citing works
Self-citationKarton, A., & Martin, J. M. L. (2005) · Theoretical Chemistry Accounts · doi:10.1007/s00214-005-0028-6 · Cited by 412 · see citing works
Self-citationKaplan, I. G. (2006) · Wiley eBooks · doi:10.1002/047086334x · Cited by 353 · see citing works
Marshall, M. S., Burns, L. A., & Sherrill, C. D. (2011) · The Journal of Chemical Physics · doi:10.1063/1.3659142 · Cited by 351 · see citing works
Scuseria, G. E., Henderson, T. M., & Sorensen, D. C. (2008) · The Journal of Chemical Physics · doi:10.1063/1.3043729 · Cited by 323 · see citing works
Goerigk, L., Kruse, H., & Grimme, S. (2011) · ChemPhysChem · doi:10.1002/cphc.201100826 · Cited by 321 · see citing works
Hättig, C., Tew, D. P., & Köhn, A. (2010) · The Journal of Chemical Physics · doi:10.1063/1.3442368 · Cited by 315 · see citing works
Basis set consistent revision of the S22 test set of noncovalent interaction energies.
Takatani, T., Hohenstein, E., Malagoli, M., Marshall, M. S., & Sherrill, C. (2010) · Journal of Chemical Physics · doi:10.1063/1.3378024 · Cited by 314 · see citing works
Chałasiński, G., & Szczęśniak, M. M. (1988) · Molecular Physics · doi:10.1080/00268978800100171 · Cited by 313 · see citing works
Grimme, S. (2005) · The Journal of Physical Chemistry A · doi:10.1021/jp050036j · Cited by 293 · see citing works
Hill, J. G., Peterson, K. A., Knizia, G., & Werner, H. (2009) · The Journal of Chemical Physics · doi:10.1063/1.3265857 · Cited by 278 · see citing works
Hujo, W., & Grimme, S. (2011) · Journal of Chemical Theory and Computation · doi:10.1021/ct200644w · Cited by 273 · see citing works
Benchmark Study of DFT Functionals for Late-Transition-Metal Reactions
Quintal, M. M., Karton, A., Iron, M. A., Boese, A. D., & Martin, J. M. L. (2005) · The Journal of Physical Chemistry A · doi:10.1021/jp054449w · Cited by 263 · see citing works
Self-citationOn the Importance and Origin of Aromatic Interactions in Chemistry and Biodisciplines
Riley, K. E., & Hobza, P. (2012) · Accounts of Chemical Research · doi:10.1021/ar300083h · Cited by 261 · see citing works
Noncovalent interactions in biochemistry
Riley, K. E., & Hobza, P. (2011) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.8 · Cited by 257 · see citing works
Yousaf, K. E., & Peterson, K. A. (2009) · Chemical Physics Letters · doi:10.1016/j.cplett.2009.06.003 · Cited by 250 · see citing works
Spin‐component‐scaled electron correlation methods
Grimme, S., Goerigk, L., & Fink, R. F. (2012) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.1110 · Cited by 248 · see citing works
Řezáč, J., Riley, K. E., & Hobza, P. (2011) · Journal of Chemical Theory and Computation · doi:10.1021/ct200523a · Cited by 247 · see citing works
Schwenke, D. W. (2004) · The Journal of Chemical Physics · doi:10.1063/1.1824880 · Cited by 245 · see citing works
Burns, L. A., Marshall, M. S., & Sherrill, C. D. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct400149j · Cited by 210 · see citing works
Symmetry‐adapted perturbation theory based on density functional theory for noncovalent interactions
Jansen, G. (2013) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.1164 · Cited by 209 · see citing works
A systematic ab initio study of the water dimer in hierarchies of basis sets and correlation models
Asger Halkier, A., Henrik Koch, A., Jørgensen, P., Ove Christiansen, A., Nielsen, I. M. B., & Helgaker, T. U. (1997) · Theoretical Chemistry Accounts · doi:10.1007/s002140050248 · Cited by 198 · see citing works
Bene, J. E. D. (1993) · The Journal of Physical Chemistry · doi:10.1021/j100103a020 · Cited by 197 · see citing works
Gruzman, D., Karton, A., & Martin, J. M. L. (2009) · The Journal of Physical Chemistry A · doi:10.1021/jp903640h · Cited by 188 · see citing works
Self-citationAccurate Intermolecular Interaction Energies from a Combination of MP2 and TDDFT Response Theory
Pitoňák, M., & Heßelmann, A. (2009) · Journal of Chemical Theory and Computation · doi:10.1021/ct9005882 · Cited by 184 · see citing works
Řezáč, J., Jurečka, P., Riley, K. E., Černý, J., Valdés, H., Pluháčková, K., Berka, K., Řezáč, T., Pitoňák, M., Vondrášek, J., et al. (2008) · Collection of Czechoslovak Chemical Communications · doi:10.1135/cccc20081261 · Cited by 169 · see citing works
Marchetti, O., & Werner, H. (2009) · The Journal of Physical Chemistry A · doi:10.1021/jp9059467 · Cited by 161 · see citing works
Marchetti, O., & Werner, H. (2008) · Physical Chemistry Chemical Physics · doi:10.1039/b804334e · Cited by 150 · see citing works
Parrish, R. M., Parker, T. M., & Sherrill, C. D. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct500724p · Cited by 148 · see citing works
Heßelmann, A. (2008) · The Journal of Chemical Physics · doi:10.1063/1.2905808 · Cited by 138 · see citing works
On the T-shaped structures of the benzene dimer
DiStasio, R. A., von Helden, G., Steele, R. P., & Head‐Gordon, M. (2007) · Chemical Physics Letters · doi:10.1016/j.cplett.2007.02.034 · Cited by 131 · see citing works
Brauer, B., Kesharwani, M. K., & Martin, J. M. L. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct500513b · Cited by 129 · see citing works
Self-citationAssessment of the Performance of MP2 and MP2 Variants for the Treatment of Noncovalent Interactions
Riley, K. E., Platts, J. A., Řezáč, J., Hobza, P., & Hill, J. G. (2012) · The Journal of Physical Chemistry A · doi:10.1021/jp211997b · Cited by 127 · see citing works
Kesharwani, M. K., Karton, A., & Martin, J. M. L. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b01066 · Cited by 120 · see citing works
Self-citationSzabó, A., & Ostlund, N. S. (1977) · The Journal of Chemical Physics · doi:10.1063/1.434580 · Cited by 114 · see citing works
Toulouse, J., Zhu, W., Andreas Savin, B., Jansen, G., & Ángyán, J. G. (2011) · The Journal of Chemical Physics · doi:10.1063/1.3626551 · Cited by 102 · see citing works
Theoretical interpretation of Grimme’s spin-component-scaled second order Møller-Plesset theory
Szabados, Á. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2404660 · Cited by 101 · see citing works
Fink, R. F. (2010) · The Journal of Chemical Physics · doi:10.1063/1.3503041 · Cited by 86 · see citing works
Assessment of CCSD(T)-F12 Approximations and Basis Sets for Harmonic Vibrational Frequencies
Martin, J. M. L., & Kesharwani, M. K. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct500174q · Cited by 81 · see citing works
Self-citationSedlák, R., Riley, K. E., Řezáč, J., Pitoňák, M., & Hobza, P. (2013) · ChemPhysChem · doi:10.1002/cphc.201200850 · Cited by 76 · see citing works
CCSD(T)/CBS atomic and molecular benchmarks for H through Ar
Ranasinghe, D. S., & Petersson, G. A. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4798707 · Cited by 74 · see citing works
The cc-pV5Z-F12 basis set: reaching the basis set limit in explicitly correlated calculations
Peterson, K. A., Kesharwani, M. K., & Martin, J. M. L. (2014) · Molecular Physics · doi:10.1080/00268976.2014.985755 · Cited by 72 · see citing works
Self-citationWhat Can We Learn about Dispersion from the Conformer Surface of n -Pentane?
Martin, J. M. L. (2013) · The Journal of Physical Chemistry A · doi:10.1021/jp401429u · Cited by 72 · see citing works
Self-citationAragó, J., Ortı́, E., & Sancho-Garcı́a, J. C. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct4003527 · Cited by 63 · see citing works
Construction and Application of a New Dual-Hybrid Random Phase Approximation
Mezei, P. D., Csonka, G. I., Ruzsinszky, A., & Kállay, M. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00420 · Cited by 63 · see citing works
On the one-particle basis set relaxation in R12 based theories
Noga, J., & Šimunek, J. (2008) · Chemical Physics · doi:10.1016/j.chemphys.2008.10.012 · Cited by 53 · see citing works
Řezáč, J., Riley, K. E., & Hobza, P. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct5000692 · Cited by 53 · see citing works
Yu, F. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct500642x · Cited by 45 · see citing works
The cc-pV5Z-F12 basis set: reaching the basis set limit in explicitly correlated calculations
Peterson, K. A., Kesharwani, M. K., & Martin, J. M. L. (2015) · Figshare · doi:10.6084/m9.figshare.1270352 · Cited by 40 · see citing works
Self-citationPeterson, K. A., Dixon, D. A., & Stoll, H. (2012) · The Journal of Physical Chemistry A · doi:10.1021/jp3084259 · Cited by 26 · see citing works
Accuracy issues involved in modeling in vivo protein structures using PM 7
Martin, B. P., Brandon, C. J., Stewart, J. J. P., & Braun‐Sand, S. (2015) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.24826 · Cited by 19 · see citing works
Basis Set Dependence of Interaction Energies Computed Using Composite Post-MP2 Methods
Platts, J. A., Hill, J. G., Riley, K. E., Řezáč, J., & Hobza, P. (2012) · Journal of Chemical Theory and Computation · doi:10.1021/ct300842d · Cited by 12 · see citing works
Flagged first, then by citations
1 of the 111 references couldn’t be matched to a known paper.
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A generally applicable atomic-charge dependent London dispersion correction
Caldeweyher, E., Ehlert, S., Hansen, A., Neugebauer, H., Spicher, S., Bannwarth, C., & Grimme, S. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5090222 · Cited by 1,981 · see citing works
Extension of the D3 dispersion coefficient model
Caldeweyher, E., Bannwarth, C., & Grimme, S. (2017) · The Journal of Chemical Physics · doi:10.1063/1.4993215 · Cited by 1,453 · see citing works
r2SCAN-3c: A “Swiss army knife” composite electronic-structure method
Grimme, S., Hansen, A., Ehlert, S., & Mewes, J. (2021) · The Journal of Chemical Physics · doi:10.1063/5.0040021 · Cited by 1,171 · see citing works
Muratov, E. N., Bajorath, J., Sheridan, R. P., Tetko, I. V., Filimonov, D., Poroikov, V., Oprea, T. I., Baskin, I. I., Varnek, A., Roitberg, A., et al. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00098a · Cited by 913 · see citing works
Less is more: Sampling chemical space with active learning
Smith, J. S., Nebgen, B., Lubbers, N., Isayev, O., & Roitberg, A. E. (2018) · The Journal of Chemical Physics · doi:10.1063/1.5023802 · Cited by 811 · see citing works
B97-3c: A revised low-cost variant of the B97-D density functional method
Brandenburg, J. G., Bannwarth, C., Hansen, A., & Grimme, S. (2018) · The Journal of Chemical Physics · doi:10.1063/1.5012601 · Cited by 776 · see citing works
Santra, G., Sylvetsky, N., & Martin, J. M. L. (2019) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.9b03157 · Cited by 520 · see citing works
Self-citationThe MRCC program system: Accurate quantum chemistry from water to proteins
Kállay, M., Nagy, P. R., Mester, D., Rolik, Z., Samu, G., Csontos, J., Csóka, J., Szabó, P. B., Gyevi‐Nagy, L., Hégely, B., et al. (2020) · The Journal of Chemical Physics · doi:10.1063/1.5142048 · Cited by 509 · see citing works
Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens
Devereux, C., Smith, J. S., Huddleston, K. K., Barros, K. M., Zubatyuk, R. I., Isayev, O., & Roitberg, A. E. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c00121 · Cited by 446 · see citing works
Peluso, P., & Chankvetadze, B. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00846 · Cited by 381 · see citing works
Pushing the frontiers of density functionals by solving the fractional electron problem
Kirkpatrick, J., McMorrow, B., Turban, D. H. P., Gaunt, A. L., Spencer, J. S., Matthews, A., Obika, A., Thiry, L., Fortunato, M., Pfau, D., et al. (2021) · Science · doi:10.1126/science.abj6511 · Cited by 379 · see citing works
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Boto, R. A., Peccati, F., Laplaza, R., Quan, C., Carbone, A., Piquemal, J., Maday, Y., & Contreras‐García, J. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c00063 · Cited by 353 · see citing works
Zubatyuk, R. I., Smith, J. S., Leszczyński, J., & Isayev, O. (2019) · Science Advances · doi:10.1126/sciadv.aav6490 · Cited by 278 · see citing works
van der Lubbe, S. C. C., & Guerra, C. F. (2019) · Chemistry - An Asian Journal · doi:10.1002/asia.201900717 · Cited by 251 · see citing works
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Self-citationEmpirical Double‐Hybrid Density Functional Theory: A ‘Third Way’ in Between WFT and DFT
Martin, J. M. L., & Santra, G. (2019) · Israel Journal of Chemistry · doi:10.1002/ijch.201900114 · Cited by 209 · see citing works
Self-citationAnstine, D. M., Zubatyuk, R. I., & Isayev, O. (2025) · Chemical Science · doi:10.1039/d4sc08572h · Cited by 205 · see citing works
Iron, M. A., & Janes, T. (2019) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.9b01546 · Cited by 180 · see citing works
Brandenburg, J. G., Bates, J. E., Sun, J., & Perdew, J. P. (2016) · Physical review. B./Physical review. B · doi:10.1103/physrevb.94.115144 · Cited by 179 · see citing works
Müller, M., Hansen, A., & Grimme, S. (2022) · The Journal of Chemical Physics · doi:10.1063/5.0133026 · Cited by 174 · see citing works
Semi-empirical or non-empirical double-hybrid density functionals: which are more robust?
Mehta, N., Casanova‐Páez, M., & Goerigk, L. (2018) · Physical Chemistry Chemical Physics · doi:10.1039/c8cp03852j · Cited by 151 · see citing works
Transferable Dynamic Molecular Charge Assignment Using Deep Neural Networks
Nebgen, B. T., Lubbers, N., Smith, J. S., Sifain, A. E., Lokhov, A. Y., Isayev, O., Roitberg, A. E., Barros, K. M., & Tretiak, S. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00524 · Cited by 120 · see citing works
Delayed catalyst function enables direct enantioselective conversion of nitriles to NH 2 -amines
Zhang, S., del Pozo, J., Romiti, F., Mu, Y., Torker, S., & Hoveyda, A. H. (2019) · Science · doi:10.1126/science.aaw4029 · Cited by 117 · see citing works
Sylvetsky, N., Peterson, K. A., Karton, A., & Martin, J. M. L. (2016) · The Journal of Chemical Physics · doi:10.1063/1.4952410 · Cited by 114 · see citing works
Self-citationStasyuk, O. A., Sedlák, R., Guerra, C. F., & Hobza, P. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00034 · Cited by 108 · see citing works
Improving the accuracy of Møller-Plesset perturbation theory with neural networks
McGibbon, R. T., Taube, A. G., Donchev, A., Siva, K., Hernández, F., Hargus, C., Law, K.-H., Klepeis, J. L., & Shaw, D. E. (2017) · The Journal of Chemical Physics · doi:10.1063/1.4986081 · Cited by 104 · see citing works
Extension of the “Cheap” Composite Approach to Noncovalent Interactions: The jun-ChS Scheme
Alessandrini, S., Barone, V., & Puzzarini, C. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b01037 · Cited by 107 · see citing works
Quantum chemical benchmark databases of gold-standard dimer interaction energies
Donchev, A., Taube, A. G., Decolvenaere, E., Hargus, C., McGibbon, R. T., Law, K.-H., Gregersen, B. A., Li, J.-L., Palmö, K., Siva, K., et al. (2021) · Scientific Data · doi:10.1038/s41597-021-00833-x · Cited by 102 · see citing works
Manna, D., Kesharwani, M. K., Sylvetsky, N., & Martin, J. M. L. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.6b01046 · Cited by 105 · see citing works
Self-citationA general intermolecular force field based on tight-binding quantum chemical calculations
Grimme, S., Bannwarth, C., Caldeweyher, E., Pisarek, J., & Hansen, A. (2017) · The Journal of Chemical Physics · doi:10.1063/1.4991798 · Cited by 94 · see citing works
Haasler, M., Maier, T. M., Grotjahn, R., Gückel, S., Arbuznikov, A. V., & Kaupp, M. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c00498 · Cited by 92 · see citing works
Mao, Y., Demerdash, O., Head‐Gordon, M., & Head-Gordon, T. L. (2016) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.6b00764 · Cited by 92 · see citing works
van der Lubbe, S. C. C., Zaccaria, F., Sun, X., & Guerra, C. F. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.8b13358 · Cited by 83 · see citing works
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Wittmann, L., Gordiy, I., Friede, M., Helmich‐Paris, B., Grimme, S., Hansen, A., & Bursch, M. (2024) · Physical Chemistry Chemical Physics · doi:10.1039/d4cp01514b · Cited by 87 · see citing works
Oliveira, V., & Kraka, E. (2017) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.7b10196 · Cited by 81 · see citing works
Schmitz, G. A., & Elm, J. (2020) · ACS Omega · doi:10.1021/acsomega.0c00436 · Cited by 80 · see citing works
π–π stacking between polyaromatic hydrocarbon sheets beyond dispersion interactions
Silva, N. J., Machado, F. B. C., Lischka, H., & Aquino, A. J. A. (2016) · Physical Chemistry Chemical Physics · doi:10.1039/c6cp03749f · Cited by 77 · see citing works
Calinsky, R., & Levy, Y. (2024) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.4c04774 · Cited by 76 · see citing works
Han, R., Ketkaew, R., & Luber, S. (2022) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.1c10417 · Cited by 77 · see citing works
Sylvetsky, N., Kesharwani, M. K., & Martin, J. M. L. (2017) · The Journal of Chemical Physics · doi:10.1063/1.4998332 · Cited by 74 · see citing works
Self-citationJedynak, K., Szczepanik, B., Rędzia, N., Słomkiewicz, P. M., Kolbus, A., & Rogala, P. (2019) · Water · doi:10.3390/w11051099 · Cited by 72 · see citing works
Kruse, H., Banáš, P., & Šponer, J. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00643 · Cited by 69 · see citing works
Platinum, gold, and silver standards of intermolecular interaction energy calculations
Kodrycka, M., & Patkowski, K. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5116151 · Cited by 69 · see citing works
Peng, C., Calvin, J. A., Pavošević, F., Zhang, J., & Valeev, E. F. (2016) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.6b10150 · Cited by 67 · see citing works
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Gray, M., Bowling, P. E., & Herbert, J. M. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00883 · Cited by 68 · see citing works
JARVIS-Leaderboard: a large scale benchmark of materials design methods
Choudhary, K. K., Wines, D., Li, K., Garrity, K. F., Gupta, V., Romero, A. H., Krogel, J. T., Saritas, K., Fuhr, A., Ganesh, P., et al. (2024) · npj Computational Materials · doi:10.1038/s41524-024-01259-w · Cited by 70 · see citing works
Mortazavi, M., Brandenburg, J. G., Maurer, R. J., & Tkatchenko, A. (2018) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.7b03234 · Cited by 64 · see citing works
Brandenburg, J. G., Caldeweyher, E., & Grimme, S. (2016) · Physical Chemistry Chemical Physics · doi:10.1039/c6cp01697a · Cited by 63 · see citing works
Price, A. J. A., Otero‐de‐la‐Roza, A., & Johnson, E. R. (2022) · Chemical Science · doi:10.1039/d2sc05997e · Cited by 61 · see citing works
Kesharwani, M. K., Sylvetsky, N., Köhn, A., Tew, D. P., & Martin, J. M. L. (2018) · The Journal of Chemical Physics · doi:10.1063/1.5048665 · Cited by 61 · see citing works
Self-citationSantra, G., & Martin, J. M. L. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c01055 · Cited by 60 · see citing works
Self-citationWitte, J., Neaton, J. B., & Head‐Gordon, M. (2017) · The Journal of Chemical Physics · doi:10.1063/1.4986962 · Cited by 59 · see citing works
Iron, M. A., & Janes, T. (2019) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.9b06135 · Cited by 59 · see citing works
Ma, Q., & Werner, H. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b01098 · Cited by 58 · see citing works
Pinski, P., & Neese, F. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5086544 · Cited by 56 · see citing works
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Margiotta, E., van der Lubbe, S. C. C., Santos, L. D. A., Paragi, G., Moro, S., Bickelhaupt, F. M., & Guerra, C. F. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.9b00946 · Cited by 55 · see citing works
Grande, S. D., & Barone, V. (2024) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.4c01673 · Cited by 54 · see citing works
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Gökcan, H., & Isayev, O. (2021) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.1564 · Cited by 51 · see citing works
Müller, M., Hansen, A., & Grimme, S. (2023) · The Journal of Chemical Physics · doi:10.1063/5.0172373 · Cited by 52 · see citing works
Gasevic, T., Stückrath, J. B., Grimme, S., & Bursch, M. (2022) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.2c02951 · Cited by 51 · see citing works
Sirianni, D. A., Burns, L. A., & Sherrill, C. D. (2016) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.6b00797 · Cited by 50 · see citing works
Kesharwani, M. K., Karton, A., Sylvetsky, N., & Martin, J. M. L. (2018) · Australian Journal of Chemistry · doi:10.1071/ch17588 · Cited by 51 · see citing works
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Vleet, M. J. V., Misquitta, A. J., & Schmidt, J. R. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.7b00851 · Cited by 47 · see citing works
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Iuzzolino, L., McCabe, P., Price, S. L., & Brandenburg, J. G. (2018) · Faraday Discussions · doi:10.1039/c8fd00010g · Cited by 46 · see citing works
Partnering dispersion corrections with modern parameter-free double-hybrid density functionals
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Calvin, J. A., Peng, C., Rishi, V., Kumar, A., & Valeev, E. F. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00006 · Cited by 46 · see citing works
Kesharwani, M. K., Manna, D., Sylvetsky, N., & Martin, J. M. L. (2018) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.7b10958 · Cited by 43 · see citing works
Self-citationSantra, G., Semidalas, E. C., Mehta, N., Karton, A., & Martin, J. M. L. (2022) · Physical Chemistry Chemical Physics · doi:10.1039/d2cp03938a · Cited by 42 · see citing works
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Pokorná, P., Kruse, H., Krepl, M., & Šponer, J. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00670 · Cited by 39 · see citing works
Chen, J., Chan, B., Shao, Y., & Ho, J. (2020) · Physical Chemistry Chemical Physics · doi:10.1039/c9cp06792b · Cited by 38 · see citing works
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Sierański, T. (2017) · Journal of Molecular Modeling · doi:10.1007/s00894-017-3496-4 · Cited by 36 · see citing works
Metcalf, D. P., Koutsoukas, A., Spronk, S. A., Claus, B. L., Loughney, D. A., Johnson, S. R., Cheney, D. L., & Sherrill, C. D. (2020) · The Journal of Chemical Physics · doi:10.1063/1.5142636 · Cited by 35 · see citing works
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Reimann, M., & Kaupp, M. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00924 · Cited by 35 · see citing works
Otero-de-la-Roza, A., & DiLabio, G. A. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.7b00300 · Cited by 35 · see citing works
Friede, M., Ehlert, S., Grimme, S., & Mewes, J. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c00717 · Cited by 34 · see citing works
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Sparrow, Z. M., Ernst, B. G., Joo, P. T., Lao, K. U., & DiStasio, R. A. (2021) · The Journal of Chemical Physics · doi:10.1063/5.0068862 · Cited by 34 · see citing works
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Wodyński, A., & Kaupp, M. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00795 · Cited by 35 · see citing works
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Mezei, P. D., & von Lilienfeld, O. A. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c00181 · Cited by 32 · see citing works
Efremenko, I., & Martin, J. M. L. (2021) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.1c05124 · Cited by 32 · see citing works
Self-citationMehta, N., & Martin, J. M. L. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00426 · Cited by 32 · see citing works
Self-citationDharuman, S., Amarasekara, H., & Crich, D. (2018) · The Journal of Organic Chemistry · doi:10.1021/acs.joc.8b01459 · Cited by 31 · see citing works
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Coubrough, H. M., van der Lubbe, S. C. C., Hetherington, K., Minard, A., Pask, C. M., Howard, M. J., Guerra, C. F., & Wilson, A. J. (2018) · Chemistry - A European Journal · doi:10.1002/chem.201804791 · Cited by 31 · see citing works
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Mezei, P. D., Csonka, G. I., Ruzsinszky, A., & Kállay, M. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.6b01140 · Cited by 29 · see citing works
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Stasyuk, O. A., Jakubec, D., Vondrášek, J., & Hobza, P. (2016) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.6b00775 · Cited by 29 · see citing works
Nagy, P. R., Gyevi‐Nagy, L., Lőrincz, B. D., & Kállay, M. (2022) · Molecular Physics · doi:10.1080/00268976.2022.2109526 · Cited by 28 · see citing works
Thürlemann, M., Böselt, L., & Riniker, S. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00661 · Cited by 27 · see citing works
Sharapa, D. I., Margraf, J. T., Heßelmann, A., & Clark, T. (2016) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.6b00869 · Cited by 27 · see citing works
Loipersberger, M., Bertels, L. W., Lee, J., & Head‐Gordon, M. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00469 · Cited by 26 · see citing works
Double Hybrids and Noncovalent Interactions: How Far Can We Go?
Brémond, É. A. G., Li, H., Sancho-Garcı́a, J. C., & Adamo, C. (2022) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.2c01193 · Cited by 25 · see citing works
Assessment of Bioactivity‐Modulating Pseudo‐Ring Formation in Psilocin and Related Tryptamines
Lenz, C., Dörner, S., Trottmann, F., Hertweck, C., Sherwood, A. M., & Hoffmeister, D. (2022) · ChemBioChem · doi:10.1002/cbic.202200183 · Cited by 25 · see citing works
libMBD: A general-purpose package for scalable quantum many-body dispersion calculations
Hermann, J., Stöhr, M., Góger, S., Chaudhuri, S., Aradi, B., Maurer, R. J., & Tkatchenko, A. (2023) · The Journal of Chemical Physics · doi:10.1063/5.0170972 · Cited by 24 · see citing works
Semidalas, E. C., & Martin, J. M. L. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c01106 · Cited by 24 · see citing works
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Garcı́a, J. S., Brémond, É. A. G., Campetella, M., Ciofini, I., & Adamo, C. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b01203 · Cited by 24 · see citing works
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Karton, A., & Martin, J. M. L. (2021) · The Journal of Chemical Physics · doi:10.1063/5.0043046 · Cited by 23 · see citing works
Self-citationZeng, J., Tao, Y., Giese, T. J., & York, D. M. (2023) · The Journal of Chemical Physics · doi:10.1063/5.0139281 · Cited by 23 · see citing works
Becke, A. D., Santra, G., & Martin, J. M. L. (2023) · The Journal of Chemical Physics · doi:10.1063/5.0141238 · Cited by 23 · see citing works
Self-citation
- Authors
- Brauer, B., Kesharwani, M. K., Kozuch, S., & Martin, J. M. L.
- Affiliations
- Weizmann Institute of Science (IL)
- Ben-Gurion University of the Negev (IL)
- Corresponding author
- Martin, Jan M. L.
- Venue
- Physical Chemistry Chemical Physics
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2016
- Volume
- 18
- Issue
- 31
- Pages
- 20905-20925
- ISSN
- 1463-9076 (ISSN-L)
- 1463-9084
- OpenAlex
- W2288881701
- Cited by
- 238
- References
- 111
- Citations by year
- 2026: 17 · 2025: 23 · 2024: 19 · 2023: 25 · 2022: 36 · 2021: 20 · 2020: 22 · 2019: 24 · 2018: 21 · 2017: 21 · 2016: 10
- FWCI
- 11.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Physical Chemistry Chemical Physics (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Minerva Foundation (N/A)
- Israel Science Foundation (1358/15)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Crystallography and molecular interactions
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Advanced Physical and Chemical Molecular Interactions
- Keywords
- non-covalent interactions, dispersion correction, MP2-F12, CCSD(T)-F12, double hybrids, M06-2X, symmetry-adapted perturbation theory, counterpoise correction, basis set convergence, explicitly correlated methods, biochemical interactions
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