The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Ab initio quantum chemistry using the density matrix renormalization group
Open accessAbstract
In this paper we describe how the density matrix renormalization group can be used for quantum chemical calculations for molecules, as an alternative to traditional methods, such as configuration interaction or coupled cluster approaches. As a demonstration of the potential of this approach, we present results for the H2O molecule in a standard gaussian basis. Results for the total energy of the system compare favorably with the best traditional quantum chemical methods.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It handles much larger active spaces than conventional active-space methods such as complete active space self consistent field 116 .”
From Quantum Chemistry in the Age of Quantum Computing (2019) · cites this paper as [116]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Density matrix formulation for quantum renormalization groups
White, S. R. (1992) · Physical Review Letters · doi:10.1103/physrevlett.69.2863 · Cited by 7,702
Self-citationDensity-matrix algorithms for quantum renormalization groups
White, S. R. (1993) · Physical Review B · doi:10.1103/physrevb.48.10345 · Cited by 3,244
Self-citationBenchmark full configuration-interaction calculations on H2O, F, and F−
Bauschlicher, C. W., & Taylor, P. R. (1986) · The Journal of Chemical Physics · doi:10.1063/1.451034 · Cited by 224
Analytical energy gradients for local second-order Mo/ller–Plesset perturbation theory
El‐Azhary, A. A., Rauhut, G., Pulay, P., & Werner, H. (1998) · The Journal of Chemical Physics · doi:10.1063/1.475955 · Cited by 221
Density-matrix renormalization-group method in momentum space
Xiang, T. (1996) · Physical review. B, Condensed matter · doi:10.1103/physrevb.53.r10445 · Cited by 156
Density Matrix Approach to Local Hilbert Space Reduction
Zhang, C., Jeckelmann, E., & White, S. R. (1998) · Physical Review Letters · doi:10.1103/physrevlett.80.2661 · Cited by 140
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- G. Fano , F. Ortolani, and L. Ziosi, preprint, cond-mat/9803071. · arXiv
Cited by
Sorted by citations
Items 201–300 of 557
Correlation energy extrapolation by intrinsic scaling. II. The water and the nitrogen molecule
Bytautas, L., & Ruedenberg, K. (2004) · The Journal of Chemical Physics · doi:10.1063/1.1811604 · Cited by 45
Liu, X., Chen, W., Fang, W., & Cui, G. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c00960 · Cited by 48
Weser, O., Freitag, L., Guther, K., Alavi, A., & Manni, G. L. (2020) · International Journal of Quantum Chemistry · doi:10.1002/qua.26454 · Cited by 41
Cheng, Y., Xie, Z., & Ma, H. (2022) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.1c04078 · Cited by 44
What Can We Learn from a Biomimetic Model of Nature’s Oxygen-Evolving Complex?
Paul, S., Cox, N. J., & Pantazis, D. A. (2017) · Inorganic Chemistry · doi:10.1021/acs.inorgchem.6b02777 · Cited by 43
Selected configuration interaction with truncation energy error and application to the Ne atom
Bunge, C. F. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2207620 · Cited by 43
Jeanmairet, G., Sharma, S., & Alavi, A. (2017) · The Journal of Chemical Physics · doi:10.1063/1.4974177 · Cited by 42
Coordinate Descent Full Configuration Interaction
Wang, Z., Li, Y., & Lu, J. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b00138 · Cited by 42
Optimizing Hartree-Fock orbitals by the density-matrix renormalization group
Luo, H., Qin, M., & Xiang, T. (2010) · Physical Review B · doi:10.1103/physrevb.81.235129 · Cited by 42
Investigation of quantum phase transitions using multi-target DMRG methods
Boschi, C. D. E., & Ortolani, F. (2004) · The European Physical Journal B · doi:10.1140/epjb/e2004-00344-1 · Cited by 40
Low entanglement wavefunctions
Chan, G. K. (2012) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.1095 · Cited by 42
Matrix Product States with Large Sites
Larsson, H. R., Zhai, H., Gunst, K., & Chan, G. K. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00957 · Cited by 41
Sliced Basis Density Matrix Renormalization Group for Electronic Structure
Stoudenmire, E. M., & White, S. R. (2017) · Physical Review Letters · doi:10.1103/physrevlett.119.046401 · Cited by 40
Self-citationOrbital entanglement and correlation from pCCD-tailored coupled cluster wave functions
Nowak, A., Legeza, Ö., & Bogusławski, K. (2021) · The Journal of Chemical Physics · doi:10.1063/5.0038205 · Cited by 40
A Perturbative Density Matrix Renormalization Group Algorithm for Large Active Spaces
Guo, S., Li, Z., & Chan, G. K. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00273 · Cited by 39
A tensor network view of multilayer multiconfiguration time-dependent Hartree methods
Larsson, H. R. (2024) · Molecular Physics · doi:10.1080/00268976.2024.2306881 · Cited by 47
Matrix product state formulation of the multiconfiguration time-dependent Hartree theory
Kurashige, Y. (2018) · The Journal of Chemical Physics · doi:10.1063/1.5051498 · Cited by 38
Density matrix renormalization group approach to two-fluid open many-fermion systems
Rotureau, J., Michel, N., Nazarewicz, W., Płoszajczak, M., & Dukelsky, J. (2009) · Physical Review C · doi:10.1103/physrevc.79.014304 · Cited by 39
Density Matrix Renormalization Group with Tensor Processing Units
Ganahl, M., Beall, J., Hauru, M., Lewis, A. G. M., Wojno, T., Yoo, J. H., Zou, Y., & Vidal, G. (2023) · PRX Quantum · doi:10.1103/prxquantum.4.010317 · Cited by 37
Luo, Z., Ma, Y., Wang, X., & Ma, H. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00613 · Cited by 38
Non-orthogonal multi-Slater determinant expansions in auxiliary field quantum Monte Carlo
Borda, E. J. L., Gomez, J. A., & Morales, M. A. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5049143 · Cited by 3
Transcorrelated density matrix renormalization group
Baiardi, A., & Reiher, M. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0028608 · Cited by 41
Mizukami, W., Kurashige, Y., & Yanai, T. (2010) · The Journal of Chemical Physics · doi:10.1063/1.3476461 · Cited by 37
Energy-weighted density matrix embedding of open correlated chemical fragments
Fertitta, E., & Booth, G. H. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5100290 · Cited by 37
Fajen, O. J., & Brorsen, K. R. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c01191 · Cited by 37
Lee, S., Zhai, H., Sharma, S., Umrigar, C. J., & Chan, G. K. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00205 · Cited by 37
Golub, P., Antalík, A., Veis, L., & Brabec, J. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00235 · Cited by 37
Sharma, S. (2015) · The Journal of Chemical Physics · doi:10.1063/1.4905237 · Cited by 36
Tran, L. N., Kurashige, Y., & Yanai, T. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct400978j · Cited by 36
Multireference Methods are Realistic and Useful Tools for Modeling Catalysis
Vitillo, J. G., Cramer, C. J., & Gagliardi, L. (2022) · Israel Journal of Chemistry · doi:10.1002/ijch.202100136 · Cited by 36
Stochastic Generalized Active Space Self-Consistent Field: Theory and Application
Weser, O., Guther, K., Ghanem, K., & Manni, G. L. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00936 · Cited by 35
Casanova, D. (2012) · Journal of Computational Chemistry · doi:10.1002/jcc.23188 · Cited by 36
On the multi-reference nature of plutonium oxides: PuO 2 2+ , PuO 2 , PuO 3 and PuO 2 (OH) 2
Bogusławski, K., Réal, F., Tecmer, P., Duperrouzel, C., Gomes, A. S. P., Legeza, Ö., Ayers, P. W., & Vallet, V. (2017) · Physical Chemistry Chemical Physics · doi:10.1039/c6cp05429c · Cited by 35
Chatterjee, K., & Sokolov, A. Y. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b00528 · Cited by 35
Evaluation of full valence correlation energies and gradients
Zimmerman, P. M., & Rask, A. E. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5100934 · Cited by 35
Park, J. W. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b00762 · Cited by 34
Song, Y., Guo, Y., Lei, Y., Zhang, N., & Liu, W. (2021) · Topics in Current Chemistry · doi:10.1007/s41061-021-00351-9 · Cited by 34
Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer
Shang, H., Li, S., Fan, Y., Xu, Z., Guo, C., Liu, J., Zhou, W., Ma, H., Lin, R., Yang, Y., et al. (2022) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1109/sc41404.2022.00019 · Cited by 48
Density matrix renormalisation group Lagrangians
Chan, G. K. (2008) · Physical Chemistry Chemical Physics · doi:10.1039/b805292c · Cited by 35
Menczer, A., Damme, M. V., Rask, A. E., Huntington, L. M. J., Hammond, J. R., Xantheas, S. S., Ganahl, M., & Legeza, Ö. (2024) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.4c00903 · Cited by 43
Entanglement structure of the Hubbard model in momentum space
Ehlers, G., Sólyom, J., Legeza, Ö., & Noack, R. M. (2015) · Physical Review B · doi:10.1103/physrevb.92.235116 · Cited by 34
Density matrix renormalization group and the nuclear shell model
Pittel, S., & Sandulescu, N. (2006) · Physical Review C · doi:10.1103/physrevc.73.014301 · Cited by 34
Calculations of potential energy surfaces using Monte Carlo configuration interaction
Coe, J. P., Taylor, D. J., & Paterson, M. J. (2012) · The Journal of Chemical Physics · doi:10.1063/1.4767052 · Cited by 33
Electron avoidance: A nonlocal radius for strong correlation
Wagner, L. O., & Gori‐Giorgi, P. (2014) · Physical Review A · doi:10.1103/physreva.90.052512 · Cited by 33
Benchmark Applications of Variations of Multireference Equation of Motion Coupled-Cluster Theory
Huntington, L. M. J., Demel, O., & Nooijen, M. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00799 · Cited by 31
Unmasking Static Correlation Error in Hybrid Kohn–Sham Density Functional Theory
Zhang, D., & Truhlar, D. G. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c00585 · Cited by 35
Lyakh, D. I., Ivanov, V. V., & Adamowicz, L. (2007) · Molecular Physics · doi:10.1080/00268970701332539 · Cited by 33
Yanai, T., Kurashige, Y., Neuscamman, E., & Chan, G. K. (2012) · Physical Chemistry Chemical Physics · doi:10.1039/c2cp23767a · Cited by 33
Gauging tensor networks with belief propagation
Tindall, J., & Fishman, M. (2023) · SciPost Physics · doi:10.21468/scipostphys.15.6.222 · Cited by 33
Xiang, C., Jia, W., Fang, W., & Li, Z. (2024) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c01228 · Cited by 33
Jiang, T., Li, W., Ren, J., & Shuai, Z. (2020) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.0c00905 · Cited by 32
Symmetric carbon tetramers forming spin qubits in hexagonal boron nitride
Benedek, Z., Babar, R., Ganyecz, Á., Szilvási, T., Legeza, Ö., Barcza, G., & Ivády, V. (2023) · npj Computational Materials · doi:10.1038/s41524-023-01135-z · Cited by 31
Analysis of the Tailored Coupled-Cluster Method in Quantum Chemistry
Faulstich, F. M., Laestadius, A., Legeza, Ö., Schneider, R., & Kvaal, S. (2019) · SIAM Journal on Numerical Analysis · doi:10.1137/18m1171436 · Cited by 40
DMRG on Top of Plane-Wave Kohn–Sham Orbitals: A Case Study of Defected Boron Nitride
Barcza, G., Ivády, V., Szilvási, T., Vörös, M., Veis, L., Gali, Á., & Legeza, Ö. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c00809 · Cited by 31
Zhao, Q. X., Zhang, X., Martirez, J. M. P., & Carter, E. A. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c00341 · Cited by 31
Bursill, R. J. (1999) · Physical review. B, Condensed matter · doi:10.1103/physrevb.60.1643 · Cited by 31
Hybrid grid/basis set discretizations of the Schrödinger equation
White, S. R. (2017) · The Journal of Chemical Physics · doi:10.1063/1.5007066 · Cited by 30
Self-citationLow-energy effective Hamiltonians for correlated electron systems beyond density functional theory
Hirayama, M., Miyake, T., Imada, M., & Biermann, S. (2017) · Physical review. B./Physical review. B · doi:10.1103/physrevb.96.075102 · Cited by 30
Batista, A. P. D. L., de Oliveira‐Filho, A. G. S., & Galembeck, S. E. (2017) · Physical Chemistry Chemical Physics · doi:10.1039/c7cp01642e · Cited by 31
Large-Scale Electron Correlation Calculations: Rank-Reduced Full Configuration Interaction
Fales, B. S., Seritan, S., Settje, N. F., Levine, B. G., Henrik Koch, A., & Martı́nez, T. J. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00382 · Cited by 30
Multireference configuration interaction and perturbation theory without reduced density matrices
Mahajan, A., Blunt, N. S., Sabzevari, I., & Sharma, S. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5128115 · Cited by 30
Ultrafast ab Initio Quantum Chemistry Using Matrix Product States
Frahm, L.-H., & Pfannkuche, D. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b01291 · Cited by 31
Select-divide-and-conquer method for large-scale configuration interaction
Bunge, C. F., & Carbó‐Dorca, R. (2006) · The Journal of Chemical Physics · doi:10.1063/1.2207621 · Cited by 30
Density matrix renormalization group study of Cr 48 and Ni 56
Thakur, B., Pittel, S., & Sandulescu, N. (2008) · Physical Review C · doi:10.1103/physrevc.78.041303 · Cited by 30
Multisliced gausslet basis sets for electronic structure
White, S. R., & Stoudenmire, E. M. (2019) · Physical review. B./Physical review. B · doi:10.1103/physrevb.99.081110 · Cited by 29
Self-citationRoemelt, M. (2015) · The Journal of Chemical Physics · doi:10.1063/1.4927432 · Cited by 29
Exact NMR simulation of protein-size spin systems using tensor train formalism
Savostyanov, D., Dolgov, S., Werner, J. M., & Kuprov, I. (2014) · Physical Review B · doi:10.1103/physrevb.90.085139 · Cited by 29
Projector quantum Monte Carlo with matrix product states
Wouters, S., Verstichel, B., Neck, D. V., & Chan, G. K. (2014) · Physical Review B · doi:10.1103/physrevb.90.045104 · Cited by 29
Fast NDDO Method for Molecular Structure Calculations Based on Strictly Localized Geminals
Tokmachev, A. M., & Tchougréeff, A. L. (2002) · The Journal of Physical Chemistry A · doi:10.1021/jp0265034 · Cited by 29
Transition Metal Spin-State Energetics by MC-PDFT with High Local Exchange
Stoneburner, S. J., Truhlar, D. G., & Gagliardi, L. (2020) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.9b10772 · Cited by 28
Fales, B. S., & Martı́nez, T. J. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b01165 · Cited by 28
Quantum Information-Assisted Complete Active Space Optimization (QICAS)
Ding, L., Knecht, S., & Schilling, C. (2023) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.3c02536 · Cited by 26
Kurashige, Y., Saitow, M., Chalupský, J., & Yanai, T. (2014) · Physical Chemistry Chemical Physics · doi:10.1039/c3cp55225j · Cited by 28
A hybrid approach to excited-state-specific variational Monte Carlo and doubly excited states
Otis, L., Craig, I. M., & Neuscamman, E. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0024572 · Cited by 27
Local Variational Quantum Compilation of Large-Scale Hamiltonian Dynamics
Mizuta, K., Nakagawa, Y. O., Mitarai, K., & Fujii, K. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.040302 · Cited by 30
Bosons confined in optical lattices: The numerical renormalization group revisited
Pollet, L., Rombouts, S., Heyde, K., & Dukelsky, J. (2004) · Physical Review A · doi:10.1103/physreva.69.043601 · Cited by 27
The Density Matrix Renormalization Group for finite Fermi systemsPreprint
Dukelsky, J., & Pittel, S. (2004) · Cited by 27
The df–d Dative Bonding in a Uranium–Cobalt Heterobimetallic Complex for Efficient Nitrogen Fixation
Lu, J., Ma, X., Wang, J., Jiang, Y., Li, Y., Hu, H., Xiao, H. Y., & Li, J. (2019) · Inorganic Chemistry · doi:10.1021/acs.inorgchem.9b00598 · Cited by 26
Rank-one basis made from matrix-product states for a low-rank approximation of molecular aggregates
Nishio, S., & Kurashige, Y. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5093346 · Cited by 26
On the importance of orbital localization in QC‐DMRG calculations
Mitrushchenkov, A. O., Fano, G., Linguerri, R., & Palmieri, P. (2011) · International Journal of Quantum Chemistry · doi:10.1002/qua.23173 · Cited by 26
Solving the strong-correlation problem in materials
Pavarini, E. (2021) · Rivista Del Nuovo Cimento · doi:10.1007/s40766-021-00025-8 · Cited by 25
DMRG control using an automated Richardson-type error protocol
Marti, K. H., & Reiher, M. (2010) · Molecular Physics · doi:10.1080/00268971003657078 · Cited by 25
The Density Matrix Renormalization Group for Strong Correlation in Ground and Excited States
Freitag, L., & Reiher, M. (2020) · Wiley eBooks · doi:10.1002/9781119417774.ch7 · Cited by 27
Lee, J., Malone, F. D., & Morales, M. A. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5109572 · Cited by 24
Shee, J., Weber, J. L., Reichman, D. R., Friesner, R. A., & Zhang, S. (2023) · The Journal of Chemical Physics · doi:10.1063/5.0134009 · Cited by 27
Kelly, T. P., Perera, A., Bartlett, R. J., & Greer, J. C. (2014) · The Journal of Chemical Physics · doi:10.1063/1.4866609 · Cited by 24
Compact wavefunctions from compressed imaginary time evolution
McClean, J. R., & Aspuru‐Guzik, A. (2015) · RSC Advances · doi:10.1039/c5ra23047k · Cited by 24
Challenges in Simulating Light-Induced Processes in DNA
Marquetand, P., Nogueira, J. J., Mai, S., Plasser, F., & González, L. (2016) · Molecules · doi:10.3390/molecules22010049 · Cited by 26
Stemmle, C., Paulus, B., & Legeza, Ö. (2018) · Physical Review A · doi:10.1103/physreva.97.022505 · Cited by 24
Freitag, L., Ma, Y., Baiardi, A., Knecht, S., & Reiher, M. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b00969 · Cited by 24
Malbon, C. L., & Hammes‐Schiffer, S. (2025) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5c00042 · Cited by 23
FCIQMC-Tailored Distinguishable Cluster Approach: Open-Shell Systems
Vitale, E., Manni, G. L., Alavi, A., & Kats, D. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.2c00059 · Cited by 23
A configuration interaction correction on top of pair coupled cluster doubles
Nowak, A., & Bogusławski, K. (2023) · Physical Chemistry Chemical Physics · doi:10.1039/d2cp05171k · Cited by 23
Band structures in coupled-cluster singles-and-doubles Green’s function (GFCCSD)
Furukawa, Y., Kosugi, T., Nishi, H., & Matsushita, Y. (2018) · The Journal of Chemical Physics · doi:10.1063/1.5029537 · Cited by 23
Ground states of linear rotor chains via the density matrix renormalization group
Iouchtchenko, D., & Roy, P. (2018) · The Journal of Chemical Physics · doi:10.1063/1.5024403 · Cited by 23
Quantum Chemical Topology as a Theory of Open Quantum Systems
Pendás, Á. M., & Francisco, E. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b01119 · Cited by 23
Guo, S., Li, Z., & Chan, G. K.-L. (2018) · The Journal of Chemical Physics · doi:10.1063/1.5031140 · Cited by 22
Flexible ansatz for N-body configuration interaction
Kim, T. D., Miranda‐Quintana, R. A., Richer, M., & Ayers, P. W. (2021) · Computational and Theoretical Chemistry · doi:10.1016/j.comptc.2021.113187 · Cited by 22
Mainali, S., Gatti, F., Iouchtchenko, D., Roy, P., & Meyer, H. (2021) · The Journal of Chemical Physics · doi:10.1063/5.0047090 · Cited by 22
Future Directions in Tensor-Based Computation and Modeling
Acar, E., Harrison, R. J., Olken, F., Alter, O., Helal, M., Omberg, L., Bader, B. W., Kennedy, A. D., Bai, Z., Kim, D., et al. (2009) · Cited by 22
Metadata
- Authors
- White, S. R., & Martin, R. L.
- Affiliations
- University of California, Irvine (US)
- Los Alamos National Laboratory (US)
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1999-03-01
- Volume
- 110
- Issue
- 9
- Pages
- 4127-4130
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W1983879445
- Cited by
- 558
- References
- 6
- Citations by year
- 2026: 27 · 2025: 36 · 2024: 26 · 2023: 38 · 2022: 41 · 2021: 47 · 2020: 37 · 2019: 43 · 2018: 34 · 2017: 34 · 2016: 21 · 2015: 29 · 2014: 27 · 2013: 7 · 2012: 15
- FWCI
- 2.02
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- The Journal of Chemical Physics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Keywords
- density matrix renormalization group, ab initio quantum chemistry, water molecules, total energy, Gaussian basis sets
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review