REVIEW 4 minor 52 references
Extension of the Active-Orbital-Based and Adaptive CC($P$;$Q$) Approaches to Excited Electronic States: Application to Potential Cuts of Water
T0 review · 0 major / 4 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read This paper shows that active-orbital and adaptive CC(P;Q) methods reproduce CCSDT/EOMCCSDT ground- and excited-state water potential cuts along O–H bond breaking.
desk verdict A solid, well-benchmarked extension of CC(P;Q) to excited states; the accuracy on water holds, and the open question is transferability, not correctness. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The object that carries the argument is the CC(P;Q) energy correction $\delta_\mu(P;Q)=\sum_{|\Phi_K\rangle\in\mathcal H^{(Q)}} \ell_{\mu,K}(P) M_{\mu,K}(P)$, in which the Hilbert space is split into an iterative P space and a noniterative Q space. $M_{\mu,K}(P)$ are the generalized moments of the CC/EOMCC equations projected on Q-space determinants, and $\ell_{\mu,K}(P)$ are coefficients built from the left bra states with Epstein–Nesbet denominators. CC(t;3) chooses the P-space triples by active orbitals (here the three highest occupied and two lowest unoccupied RHF orbitals), while adaptive CC(P;Q) selects the leading 1–2% of triples by the size of their $\ell_{\mu,K}M_{\mu,K}$ contributions, with no active-space input; the leftover Q-space triples enter through $\delta_\mu(P;Q)$. The method's power is that a tiny, selected subset of triples is treated iteratively and the rest perturbatively, so the expensive $N^8$ triple step of full CCSDT/EOMCCSDT is avoided.
What would settle it
Run the adaptive CC(P;Q)[%T=2] protocol on a different stretched-bond system, such as ozone or N2, using a basis larger than TZ, and compare the resulting ground- and excited-state potentials against CCSDT/EOMCCSDT or full CI; if the mean unsigned error exceeds roughly 1–2 mH, or if more than 2% of triples is needed to remove the qualitative failures of CR-EOMCC(2,3), the selection assumption is falsified for that case.
Extended reading notes
Core claim
The central claim is that the CC(P;Q) moment-expansion hierarchy, in both its active-orbital CC(t;3) form and its black-box adaptive form, can converge ground- and excited-state potential cuts of water along the O–H dissociation coordinate to the parent CCSDT/EOMCCSDT results. Relative to CCSDT/EOMCCSDT, CC(t;3) has MUEs between 0.166 and 0.951 mH over 12 states, and adaptive CC(P;Q) with only 2% of the triples in the P space has MUEs between 0.197 and 0.993 mH and NPEs between 0.133 and 1.572 mH. The improvement is most dramatic for the 2 3A″ and 3 3A″ states, where the earlier CR-EOMCC(2,3) corrections produce errors of 13 and 42 mH in NPE and a spurious bump in the 3 3A″ curve; CC(t;3) removes the bump and reduces these NPEs to 0.255 and 0.608 mH. The paper also establishes that CCSDT/EOMCCSDT itself is an excellent benchmark here, with MUEs below 1.6 mH relative to full CI for all 12 states. This is the first use of these two CC(P;Q) variants for excited electronic states.
Load-bearing premise
The weakest link is the assumption that a very small set of triple excitations, chosen by active orbitals or by moment-size ranking, captures almost all of the correlation that a full triples treatment would add; this has been demonstrated for one molecule, one basis set, and one active-space choice.
Editorial extensions
If this is right
- Excited-state potential surfaces of near-EOMCCSDT quality become practical in the stretched-bond regions where EOMCCSD and CR-EOMCC(2,3) fail, because the leading triples enter the iterative wave function rather than only a correction.
- The adaptive variant removes the need for an active-orbital choice, so the method can be applied as a black-box approximation to systems where full triples are too costly.
- The largest CR-EOMCC(2,3) failures on water, the 2 3A″ and 3 3A″ curves, are repaired: their errors relative to EOMCCSDT drop from tens of millihartree to below one millihartree in CC(t;3) and to below one millihartree in most adaptive 2% calculations.
- Only about 300 triply excited determinants per symmetry (2% of the total) suffice in this system to bring the MUE below about 1 mH, indicating the iterative cost can be far below the roughly 31,000 triples used by full EOMCCSDT.
- Because CCSDT/EOMCCSDT is shown to be within about 1.6 mH of full CI for all 12 states, these low-cost approximations inherit a near-exact description of the same curves.
Reading between the lines
- The 38%-vs-2% comparison implies that moment-based adaptive selection is more efficient than the active-space heuristic: the same accuracy is reached with far fewer iterative triples, so chemical-intuition active spaces may be over-inclusive.
- The selection heuristic is not yet established for other molecules; a direct test would run the same 2% adaptive protocol on another multireference bond-breaking case, such as ozone or stretched N2, against CCSDT/EOMCCSDT or full CI.
- If the heuristic transfers, this recipe could become a practical default for photochemical and spectroscopic studies, where many excited-state curves are needed and full CCSDT is feasible only for small molecules.
- The remaining roughly 0.2 mH floor in the adaptive results suggests a possible refinement: using higher-rank moments or a second adaptive pass on the Q space to reduce that floor without admitting more triples into the iterative P space.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This manuscript extends the CC(P;Q) hierarchy to excited states by combining active-orbital-based CC(t;3) and adaptive CC(P;Q) with EOMCC, and benchmarks the resulting methods on the ground and 11 excited singlet/triplet A′/A′′ states of water along the O–H dissociation coordinate using the TZ basis. The parent CCSDT/EOMCCSDT potentials are first validated against full CI in Table 1 (MUEs 0.28–1.53 mH, NPEs 0.57–5.50 mH). The approximate methods are then compared with these parents in Tables 2 and 3, showing that CC(t;3) reproduces CCSDT/EOMCCSDT with MUEs below 1 mH and NPEs below 0.61 mH, while adaptive CC(P;Q) using 2% of triples in the iterative P spaces gives MUEs of 0.197–0.993 mH and NPEs of 0.133–1.572 mH, and both methods improve on CR-CC(2,3)/CR-EOMCC(2,3) in strongly stretched regions. The paper is framed as a single-molecule benchmark, with broader testing explicitly deferred to future work in Sec. 4.
Significance. The significance is incremental but real: it demonstrates that the adaptive, orbital-free variant of CC(P;Q), previously tested mainly on ground states, extends successfully to excited states, including states with strong multireference character such as 23A′′ and 33A′′ where CR-EOMCC(2,3) fails badly. Strengths of the paper include the deterministic and complete set of 12 states, the external full-CI grounding of the parent CCSDT/EOMCCSDT data, the clear reporting of MUE/NPE statistics with no post-hoc state exclusions, and the availability of total energies in Supplementary Data and of the CCpy code on GitHub. The main limitation—validation on a single molecule and one basis set—is acknowledged by the authors in Sec. 4 and does not undermine the stated water-benchmark claim.
minor comments (4)
- [Abstract and Sec. 3.3] The abstract and Sec. 3.3 state that the adaptive calculations offer significantly reduced computational costs, but the manuscript reports only the fraction of triples in the iterative P spaces (1–2% versus the full CCSDT/EOMCCSDT triple manifolds), not wall-clock timings or operation counts for the excited-state implementation; since the noniterative Q-space correction still spans the remaining triples, a few timing data or an explicit complexity statement would make the cost claim easier to verify.
- [Sec. 3.1] The adaptive algorithm parameters (1% growth rate and %T = 1 and 2% final spaces) are stated, but it is not specified whether %T refers to the final converged fraction after the growth process or to a target fraction imposed at each recursion step; a one-sentence definition would improve reproducibility.
- [Sec. 3.1 and Fig. 1] The manuscript does not describe how the individual EOMCC(P) roots are tracked through avoided crossings when constructing the state-specific P spaces; because the reported MUE/NPE values require consistent state labels along ROH, a sentence on root assignment would strengthen the comparisons.
- [Tables 2 and 3] The footnotes define the active space for CCSDt/CC(t;3) only as the three highest occupied and two lowest unoccupied RHF orbitals; specifying whether this selection is by RHF orbital energy and collecting the symmetry labels already given in Sec. 3.1 in a single place would make the tables more self-contained.
Circularity Check
No meaningful circularity: the water-benchmark claim is a direct numerical comparison against independently benchmarked CCSDT/EOMCCSDT, not a fit or self-citation tautology.
full rationale
The paper's central claims—that CC(t;3) and adaptive CC(P;Q) reproduce the CCSDT/EOMCCSDT water potential cuts—are checked directly against those parent calculations in Tables 2 and 3, and the parent is itself validated against full CI in Table 1 using full CI results from Refs. [13,16]. No parameter in the CC(P;Q) workflow is fitted to the CCSDT/EOMCCSDT target energies: the moment corrections of Eq. (4) are built from CC(P)/EOMCC(P) amplitudes and Hamiltonian matrix elements, and the adaptive selection of triples uses those same moment contributions as a convergence guide rather than any target energy. The active-orbital CC(t;3) active-space choice is explicitly user-defined and acknowledged as such; that is a transferability limitation, not a hidden input-output identity. The paper's own Sec. 4 states that testing other systems and larger basis sets is future work, which is a scope limitation rather than a circularity. The extensive citations to the authors' earlier CC(P;Q) papers describe the method's derivation, but the numerical benchmark in this paper is an independent application against an external full-CI anchor. I find no step in which a prediction is equivalent by construction to its input, so the circularity score is 0.
Assumptions & free parameters
free parameters (4)
- adaptive_P_space_triple_fraction_1_percent =
1% of Sz=0 triple excitations
- adaptive_P_space_triple_fraction_2_percent =
2% of Sz=0 triple excitations
- adaptive_algorithm_growth_rate =
1% growth rate
- CC(t;3)_active_space =
three highest occupied and two lowest unoccupied RHF orbitals
assumptions (4)
- domain assumption The CCSDT/EOMCCSDT water potential cuts accurately approximate the full CI results of Refs. [13,16].
- standard math The moment expansion δμ(P;Q) = Σ ℓμ,K Mμ,K in Eq. (4) converges to the parent CCSDT/EOMCCSDT energies for the selected P/Q partitions.
- domain assumption The TZ basis set and RHF reference with frozen 1s oxygen orbital are adequate for the water potential cuts.
- domain assumption Geometries optimized at CCSD/cc-pVTZ from Ref. [16] define the reaction path.
Cite this review
Pith. "Pith review of Extension of the Active-Orbital-Based and Adaptive CC($P$;$Q$) Approaches to Excited Electronic States: Application to Potential Cuts of Water." pith.science (2026). https://pith.science/paper/ADXO4FBC
@misc{pith2026241111245,
author = {Pith},
title = {Pith review of: Extension of the Active-Orbital-Based and Adaptive CC($P$;$Q$) Approaches to Excited Electronic States: Application to Potential Cuts of Water},
year = {2026},
howpublished = {\url{https://pith.science/paper/ADXO4FBC}},
note = {Machine review of arXiv:2411.11245}
}
abstract
We report the first study using active-orbital-based and adaptive CC($P$;$Q$) approaches to describe excited electronic states. These CC($P$;$Q$) methodologies are applied, alongside their completely renormalized (CR) coupled-cluster (CC) and equation-of-motion (EOM) CC counterparts, to recover the ground- and excited-state potential cuts of the water molecule along the O-H bond-breaking coordinate obtained in the parent CC/EOMCC calculations with a full treatment of singles, doubles, and triples (CCSDT/EOMCCSDT). We demonstrate that the active-orbital-based and adaptive CC($P$;$Q$) approaches closely approximate the CCSDT/EOMCCSDT data using significantly reduced computational costs while improving the CR-CC and CR-EOMCC energetics in stretched regions of the O-H bond-breaking potentials.
Figures
Reference graph
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CCpy: A Coupled-Cluster Package Written in Python,
K. Gururangan and P . Piecuch, “CCpy: A Coupled-Cluster Package Written in Python,” see https://github.com/piecuch-group/ccpy [software]. 9 Table 1 The MUE and NPE values, in millihartree, relative to full CI c haracterizing the ground-state CCSDT and excited-state EOMCCSDT po...
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Reviewed August 12, 2026 · model on record in the stance chip above.
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