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REVIEW 3 major objections 4 minor 103 references

Efficient and accurate description of adsorption in zeolites

T0 review · 3 major / 4 minor · reviewed 2026-08-14 · deepseek-v4-flash

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Pith's one-line read The paper claims that RPA with singles corrections gives near-reference adsorption energies in zeolites, outperforming MP2 at lower cost.

desk verdict A useful seven-molecule zeolite benchmark shows MP2 overbinds ethylene and acetylene, but the advertised '<2 kJ/mol or 5%' error bound for RPA+RSE is not met on the 4T cluster, and the cost claim is unquantified. read the letter →

arxiv 1908.01490 v2 pith:PIIJVIJX submitted 2019-08-05 physics.chem-ph

Jiří Klimeš , David P. Tew This is my paper · ORCID
classification physics.chem-ph
keywords adsorptionenergyrandomphaseapproximationsinglescorrectionsMP2zeolitechabazitedispersioninteractionscoupledclusterbenchmark
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper targets a practical question: which affordable correlated electronic-structure method should be trusted to compute adsorption energies in porous materials such as zeolites? The authors calculate adsorption energies of seven small molecules—methane, ethane, ethylene, acetylene, propane, carbon dioxide, and water—in the zeolite chabazite, comparing MP2 with the random phase approximation (RPA) augmented by singles corrections (RSE or GWSE). Their central claim is that RPA with singles reproduces coupled-cluster reference values to within about 2 kJ/mol or 5 percent, while MP2 is less reliable exactly where electron screening matters, notably for ethylene and acetylene, and is about an order of magnitude more expensive. If the claim holds, RPA with singles becomes the recommended method for generating reference-quality adsorption energies in zeolites, and the paper's data also expose systematic biases in dispersion-corrected density functional approximations.

What carries the argument

The central object is the RPA correlation energy augmented by a singles correction, either RSE (renormalized single excitations) or GWSE (screened single excitations), evaluated on exact exchange built from a semilocal DFT starting point. The singles correction rotates the one-particle density matrix toward the Hartree-Fock one, which repairs the too-weak binding of bare RPA. What makes the comparison possible is a set of small cluster models (2T and 4T tetrahedral-site clusters capped with hydrogen) small enough for CCSD(T) reference calculations while still representing the acidic chabazite adsorption site; on these clusters the accuracy of MP2 and RPA+RSE is ranked directly against the coupled-cluster reference.

What would settle it

Compute adsorption energies for the same seven molecules on a larger cluster model, for example a full double-six-ring or 6T site, with CCSD(T)-level theory and compare with RPA+RSE and MP2; if RPA+RSE errors exceed 2 kJ/mol or MP2 matches or beats it, the central claim fails. A complementary test is to compare RPA+GWSE 0 K energies to experimental adsorption enthalpies after including zero-point and thermal corrections, since a systematic drift beyond 2 kJ/mol would also refute the claimed reference quality.

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Extended reading notes

Core claim

The paper's core discovery is that the inclusion of singles corrections fixes the main deficiency of RPA for adsorption: bare RPA underestimates binding by about 10–20 percent, but adding either the renormalized singles excitation (RSE) or the GW-screened singles excitation (GWSE) brings adsorption energies to near CCSD(T) quality, with the two variants differing by less than 1 kJ/mol in the bulk. MP2, by contrast, overbinds ethylene and acetylene by about 2–3 kJ/mol relative to RPA+GWSE because it lacks the infinite-order screening that RPA includes; this pattern is confirmed on 2T and 4T cluster models where CCSD(T) and PNO-CCSD(T)(F12*) references exist. On those clusters RPA+RSE stays within about 3 percent of the reference for all seven molecules, whereas MP2 errors reach 10 percent for the unsaturated molecules. The paper therefore concludes that RPA with singles surpasses MP2 both in accuracy and in cost for adsorption in zeolites, and that it can serve as a parameter-free source of near-reference 0 K adsorption energies.

Load-bearing premise

The load-bearing premise is that the 2T and 4T finite cluster models faithfully represent the periodic chabazite adsorption site, so the accuracy ranking measured against CCSD(T) on those clusters transfers to the bulk material where no CCSD(T) reference exists.

Editorial extensions

If this is right

  • For saturated hydrocarbons and water, MP2 and RPA+GWSE agree to within about 1–2 kJ/mol, so either method could serve as a reference; for ethylene and acetylene, MP2 is the outlier and overbinds because it lacks screening.
  • Bare RPA underestimates adsorption energies by roughly 10 percent, and the singles corrections are necessary to reach near-reference accuracy.
  • The claimed <2 kJ/mol or <5 percent error at 0 K means RPA with singles can replace CCSD(T) as the reference generator for zeolites too large for coupled cluster.
  • The cost advantage, about one order of magnitude less than MP2, makes periodic RPA with singles practical for unit cells up to roughly 3000 cubic angstroms, covering zeolites such as ferrierite, mordenite, and LTA.
  • The 0 K energies can be combined with resampling or correction schemes and experimental heats of adsorption to yield finite-temperature adsorption enthalpies.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the accuracy ranking transfers to the full pore, the same test on a larger-pore or higher-silica zeolite should reproduce the pattern that MP2's overbinding grows with the extent of the molecule's delocalized electrons; a molecule like benzene adsorbed in a large cage would sharpen this prediction.
  • The observed sign correlation between MP2 minus RPA differences and the second-order exchange contribution suggests that adding a screened second-order exchange term to RPA should shrink the remaining error; that is a testable calculation.
  • The observed 0.5–1.5 kJ/mol sensitivity to pseudopotential hardness implies that older zeolite adsorption benchmarks using softer potentials may carry a systematic bias; re-evaluating those systems with harder potentials is a concrete next step.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 4 minor

Summary. The manuscript benchmarks adsorption energies of seven small molecules (methane, ethane, ethylene, acetylene, propane, CO2, H2O) in zeolite chabazite, using periodic VASP calculations at the MP2 and RPA-with-singles-corrections (RSE and GWSE) levels, and on 2T and 4T finite clusters with CCSD(T) references. It reports close agreement between MP2 and RPA+singles for the bulk material and finds on clusters that RPA+RSE is generally closer to CCSD(T) than MP2 for unsaturated molecules. The paper concludes that RPA with singles is superior to MP2 both in accuracy and in computational cost, and that it can provide reference-quality adsorption energies at 0 K with errors below 2 kJ/mol or 5%.

Significance. If the central claims held, the paper would establish RPA with singles corrections as a practical reference method for adsorption in porous materials, which is a useful and important result. The benchmark design has real strengths: an external CCSD(T) reference on clusters, systematic basis-set extrapolation, use of hard PAW potentials, finite-size corrections, and parameter-free many-body methods with no fitting to the target adsorption energies. However, the data support a more limited conclusion: RPA with singles is accurate to roughly 1-2 kJ/mol for most systems and is clearly better than MP2 for ethylene and acetylene, but the blanket 'less than 2 kJ/mol or 5%' claim and the order-of-magnitude cost advantage are not established by the presented evidence.

major comments (3)
  1. [Section V, Tables II and III] The central accuracy claim is not supported as stated. Section V states that RPA with singles provides energies 'with errors of less than 2 kJ/mol or 5 %.' Against the largest available cluster (4T, Table III), RPA+RSE gives -35.3 kJ/mol for ethylene versus PNO-CCSD(T) -32.7 kJ/mol, an error of 2.6 kJ/mol (8%), exceeding both thresholds. Moreover, on the same 4T cluster MP2 is closer to the reference for methane (0.6 vs 1.5 kJ/mol), ethane (0.5 vs 1.4), and propane (0.8 vs 1.7), so the statement that RPA is 'superior to MP2 in accuracy' is too broad. Please revise the accuracy claims to be consistent with the largest cluster results, or provide additional cluster-size data that resolve the discrepancy.
  2. [Section IV.A and Abstract] The claim that RPA has a computational cost 'about an order of magnitude smaller' than MP2 is asserted without supporting timing data. No CPU times, wall-clock times, or hardware details are given anywhere in the manuscript. Since the abstract and conclusions present this cost advantage as a headline result, the authors should either include comparative timings or explicitly temper the cost claim.
  3. [Section IV.B] Cluster-size convergence is not established, which matters because the accuracy of the periodic adsorption energies is inferred by transfer from the cluster benchmarks. Only 2T and 4T clusters are reported, and the RPA+RSE error for ethylene grows from 0.4 kJ/mol on the 2T cluster (Table II) to 2.6 kJ/mol on the 4T cluster (Table III). No 6T/8T cluster or extrapolated cluster-size limit is provided, so the convergence behavior is unknown. Without this, the claim that RPA with singles provides 'reference quality' energies in the periodic system, where no CCSD(T) reference exists, is not quantitatively supported.
minor comments (4)
  1. [Section II] The geometries are optimized with optB88-vdW and not relaxed with the correlated methods; this is acknowledged but the possible sensitivity of the method ranking to this choice is not discussed.
  2. [Figure 2] The figure caption mentions HF but the legend does not include an HF curve; please either add it to the legend or update the caption.
  3. [Table III] The table heading says 'PNO-CCSD(T)' while the text describes 'PNO-CCSD(T0)(F12*)' with a T/T0 scaling correction; please make the notation consistent.
  4. [Section V] The phrase 'errors of less than 2 kJ/mol or 5 %' is ambiguous: it should state whether this is a mean absolute error or a maximum error, and whether both criteria must be met or only one.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: the accuracy ranking is benchmarked against external CCSD(T) references, and no fitted parameter is renamed as a prediction.

full rationale

The paper derives no result from its own target values. RPA, RPA+RSE, RPA+GWSE, and MP2 adsorption energies are computed from parameter-free many-body expressions, and their accuracy is assessed against CCSD(T)(F12*) and PNO-CCSD(T)(F12*) reference data on 2T and 4T clusters (Tables II and III). The singles corrections are taken from prior work (Refs. 38, 39), but they are not fitted to the adsorption energies reported here; they are applied to a new set of molecules and checked against an external reference. The bulk periodic calculations have no CCSD(T) reference, so the paper's transfer of cluster-validated accuracy to the bulk is an extrapolation, not a circular reduction. Likewise, the statement that close MP2/RPA agreement 'points to' high accuracy is an inference, not a definitional identity. One data point actually contradicts the stated bound: Table III gives RPA+RSE for ethylene on the 4T cluster as -35.3 kJ/mol versus PNO-CCSD(T) -32.7 kJ/mol, an error of 2.6 kJ/mol (8%), exceeding the '<2 kJ/mol or 5%' claim. That is a correctness or calibration concern, not circularity, because the benchmark is independent of the method's own assumptions. Self-citations to the authors' earlier singles-correction papers are method provenance rather than load-bearing circular evidence, and no uniqueness theorem or fitting step is invoked to force the conclusions.

Assumptions & free parameters 0 free parameters · 4 assumptions · 0 invented entities

No physical free parameters are introduced for the central claim; RPA and MP2 are parameter-free. The only hand-set ingredients are computational convergence choices (cutoffs, PAW potentials) and the standard CCSD(T) reference assumption. For the 4T cluster reference, the full triples correction uses a scaling ratio from a smaller basis, a computational approximation rather than a fitted physical parameter.

assumptions (4)
  • domain assumption CCSD(T)(F12*) is an accurate reference for these noncovalent adsorption energies.
    The paper uses CCSD(T) as the gold standard for finite clusters (Section IV.B). This is the standard assumption in quantum chemistry benchmarks.
  • domain assumption Finite cluster models (2T and 4T) represent the adsorption site in periodic chabazite.
    Section II creates the clusters to assess quality, and Section IV.B uses them as proxies for the bulk. This is the weakest assumption in the paper.
  • domain assumption PBE-optimized structures are adequate for comparing single-point energies.
    Section II: the framework is held fixed and geometries come from optB88-vdW or other structural optimizations; the paper argues this does not affect the method comparison.
  • domain assumption Basis-set incompleteness errors follow an E^{-3/2} extrapolation law.
    Section III states this extrapolation for RPA, GWSE, and MP2 components. It is a standard practice in plane-wave many-body calculations.

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Pith. "Pith review of Efficient and accurate description of adsorption in zeolites." pith.science (2026). https://pith.science/paper/PIIJVIJX

@misc{pith2026190801490,
  author       = {Pith},
  title        = {Pith review of: Efficient and accurate description of adsorption in zeolites},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/PIIJVIJX}},
  note         = {Machine review of arXiv:1908.01490}
}
read the original abstract

Accurate theoretical methods are needed to correctly describe adsorption on solid surfaces or in porous materials. The random phase approximation with singles corrections scheme (RPA) and the second order M{\o}ller-Plesset perturbation theory (MP2) are two schemes which offer high accuracy at affordable computational cost. However, there is little knowledge about their applicability and reliability for different adsorbates and surfaces. Here we calculate adsorption energies of seven different molecules in zeolite chabazite to show that RPA with singles corrections is superior to MP2 not only in terms of accuracy but also in terms of computer time. Therefore RPA with singles is suitable scheme for obtaining highly accurate adsorption energies in porous materials and similar systems.

Figures

Figures reproduced from arXiv: 1908.01490 by the authors.

Figure 1
Figure 1. FIG. 1. The unit cell of chabazite with adsorbed ethylene molecule (a) and, in (b) and (c), the 2T [PITH_FULL_IMAGE:figures/full_fig_p005_1.png] view at source ↗
Figure 2
Figure 2. FIG. 2. Adsorption energies of different molecules in chabazite for HF, MP2, and RPA-based [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. FIG. 3. The structure of adsorbed methane showing part of the framework (a) and the charge [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figures from the paper (1 more)
Figure 4
Figure 4. Figure 4: FIG. 4. Relative differences of the adsorption energies on the 2T cluster with respect to the [PITH_FULL_IMAGE:figures/full_fig_p013_4.png]

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