Pith. sign in

REVIEW 4 major objections 6 minor 48 references

Monitorization of the H-O Bond Flexibility

T0 review · 4 major / 6 minor · reviewed 2026-08-10 · deepseek-v4-flash

Pith's one-line read The paper claims that the H–O bond in water is flexible and that a single calibrated exponent $m = 2.3683$ converts any measured H–O stretch frequency into a complete set of bond lengths, energies, and core-level shifts.

desk verdict A handy conversion table whose load-bearing exponent is assumed, not tested; the paper recalibrates the authors' own BOLS framework without independent validation. read the letter →

arxiv 2501.01469 v1 pith:DVD7VVAZ submitted 2025-01-01 cond-mat.mtrl-sci physics.chem-ph

classification cond-mat.mtrl-sciphysics.chem-ph
keywords H–ObondflexibilitynatureindexRamanspectroscopyO1score-levelshifthydrogencooperativityphononwaterlength–energycorrelation
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

The paper sets out to overturn the common assumption that the H–O bond in water is rigid, arguing instead that it is flexible and responds cooperatively with the neighboring O:H nonbond. Its central instrument is a single bond-nature index $m$ that connects H–O bond energy $E_H$ to bond length $d_H$ through $E_H = d_H^{-m}$, calibrated to $m = 2.3683$ using two known states of water: bulk water and the dangling H–O bond. With that exponent, the paper derives a conversion database in which any measured H–O stretching frequency $\omega_H$ yields a predicted $d_H$, $E_H$, O 1s energy shift $\Delta E_{1s}$, and O:H nonbond length $d_L$. A sympathetic reader would care because this turns ordinary Raman or infrared spectra into quantitative, in-situ readouts of bond-level structure for water, ice, hydroxides, hydrogen peroxide, and aqueous solutions.

What carries the argument

The load-bearing object is the bond-nature index $m$ and the reduced-bond correlation $C^{-m} = E(C)/E_b$, where $C = d/d_b$ is the bond length relative to its bulk reference. The paper couples this power law to the tight-binding result that a core-level shift $\Delta E_\nu$ tracks the bond energy, and to the harmonic-oscillator result that a vibrational frequency shift tracks the potential curvature, giving $\Delta \omega_H \propto C^{-(1+m/2)}$. That exponent is the bridge that turns a measured $\omega_H$ into $d_H$, $E_H$, $\Delta E_{1s}$, and, via the O—O repulsive-coupling rule, the O:H nonbond length $d_L$.

What would settle it

Measure the O–H bond length directly by neutron or X-ray diffraction in the same water or ice sample where the Raman O–H stretch is recorded, under several pressures or temperatures, and compare the measured $d_H$ with the value Table A1 assigns to that $\omega_H$; a systematic mismatch, or a mismatch that grows with perturbation, would falsify the central calibration.

Watch

Extended reading notes

Core claim

On the paper's own terms, the discovery is that the H–O bond and the O:H nonbond are a coupled, flexible system whose state can be read from a single vibrational frequency. The bond energy $E_H$ and length $d_H$ obey the power law $E_H = d_H^{-m}$ with $m = 2.3683$; because the zeroth Taylor coefficient of the interatomic potential sets the O 1s energy shift $\Delta E_{1s}$ and the second coefficient sets the vibrational frequency shift $\Delta \omega_H$, a measured $\omega_H$ fixes the reduced length $C = d_H/d_{Hb}$, then $E_H$, $\Delta E_{1s}$, and, through the O—O repulsive coupling, $d_L$. The paper compiles the resulting calibration as Table A1, spanning $\omega_H$ from 2750 to 3710 cm$^{-1}$, and applies it to temperature-, pressure-, cluster-size-, and electrification-induced relaxation. The claim is that this synchronizes electron and phonon spectroscopies into one quantitative referential database for any substance containing H–O bonds.

Load-bearing premise

The whole conversion rests on the asserted scaling $\Delta \omega_H \propto C^{-(1+m/2)}$, which the paper states without derivation; if the real curvature of the H–O potential depends on bond length differently, every derived value in Table A1 shifts.

Editorial extensions

If this is right

  • Any measured H–O stretching frequency in the 2800–3700 cm$^{-1}$ range becomes convertible into a predicted H–O bond length, bond energy, O 1s shift, and O:H nonbond length using Table A1.
  • Compression and liquid cooling are predicted to lengthen and weaken the H–O bond while shortening the O:H nonbond, whereas skin formation, electrification, and molecular undercoordination do the reverse.
  • The same calibration transfers to H–O-bearing systems beyond water, including M(OH)$_n$, H$_2$O$_2$, OH$^-$, H$_3$O$^+$, and aqueous solutions, because their H–O vibrations fall in the same spectral window.
  • The O 1s core-level shift and the phonon shift become two views of the same bond-energy change, so XPS and Raman/IR data can be cross-validated against one reference table.
  • Within a phase, the flexibility coefficient converts a measured $d\omega_H/dq$ into a direct quantitative measure of how a perturbation softens or stiffens the bond.

Reading between the lines

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

  • Because $m$ is fixed from only two states and the exponent in $\Delta \omega_H \propto C^{-(1+m/2)}$ is asserted rather than derived, the most direct test is to compare a diffraction-measured $d_H$ with the Table A1 value predicted from the simultaneous Raman frequency; a systematic mismatch would propagate through every derived quantity.
  • If the calibration survives independent structural tests, the same exponent-based scheme could be applied to other hydrogen-bonded oscillators (for example O–D or N–H) by recalibrating $m$, making vibrational spectroscopy a general bond-length probe.
  • The paper's interpretation of lunar water at 3430–3480 cm$^{-1}$ implies a sharp, checkable prediction: the water there has the bond state of roughly 4–6 molecule clusters or a polarized-salt-like environment, which could be tested by laboratory spectra of size-selected water clusters.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

4 major / 6 minor

Summary. The paper argues that the H–O bond should be treated as flexible rather than rigid and proposes a 'bond nature index' m such that the H–O bond energy scales as E_H = d_H^{-m}. Using two reference states (bulk water and the dangling H–O bond), the authors calibrate m = 2.3683 and an unobserved reference frequency ω0 = 1628 cm^-1, and then construct a 'referential database' (Table A1) that converts any measured H–O stretching frequency ωH into values of d_H, E_H, ΔωH, ΔE1s, and the O:H nonbond length d_L. The paper also derives a bond-flexibility coefficient α from the assumed scaling. The central claim is that the resulting database enables simultaneous quantification of H–O bond length, energy, stiffness, O 1s shift, and O:H distance during Raman or IR spectroscopy.

Significance. If the proposed relation were quantitatively correct, it would provide an inexpensive route from routine vibrational spectra to bond-level structural and energetic information in water, ice, and H–O-containing systems. The paper does collect and organize a useful set of referenced experimental peaks for water under various perturbations. However, the significance of the paper's own contribution depends entirely on the validity of the assumed scaling exponents and on the two-point calibration; the present manuscript provides neither a derivation of these exponents nor independent validation of the resulting table. The paper does not ship reproducible code, a machine-checked derivation, or a parameter-free test, and the central Table A1 is presented without uncertainty estimates. As a result, the claimed 'monitorization' capability is not established.

major comments (4)
  1. [Eq. (6)] The exponent for the frequency shift, ΔωH ∝ C^{-(1+m/2)}, is asserted without derivation. Equation (5) states that the vibration frequency is proportional to sqrt(k/μ) and that k is related to the second Taylor coefficient of the potential, but it never shows how the curvature of the potential scales with bond length. For a power-law potential E = E_b C^{-m}, the second derivative at equilibrium scales as d^{-(m+2)}, which yields the stated exponent only if the potential is exactly of that form and if the reduced mass and the Condon-like factors are invariant. The manuscript does not justify this scaling for the actual anharmonic O–H potential, nor does it test the exponent against any independent force-constant calculation or measured frequency-bond-length pair. Since Eq. (6) is the bridge from the measured quantity ωH to every derived quantity in Table A1, this missing derivation is load-bearing.
  2. [Table 1 / Figure 2b] The calibration of m uses exactly the two states that are subsequently used as anchor rows of Table A1 (bulk H2O at 3200 cm^-1 and dangling H–O at 3610 cm^-1). The paper also admits that the reference frequency ω0 = 1628 cm^-1 is 'unseen using spectroscopy' and is refined through Eq. (8), i.e., fitted. Consequently, Table A1 is not an independent referential database but a two-point interpolation/extrapolation of the fitted power law. Reading a measured frequency off Table A1 is therefore reading off the fitted curve, so the table cannot provide independent confirmation of the proposed universality. An independent test against, for example, measured bond lengths from diffraction or EXAFS under matched conditions is needed.
  3. [Table A1 and §Flexibility] No uncertainty propagation is performed, yet Table A1 reports d_H, d_L, E_H, and ΔE1s to three or four significant figures (e.g., d_H = 1.167 Å, E_H = 2.75 eV, ΔE1s = 17.07 eV). The input values carry uncertainties (ω0 = 1628 ± 1 cm^-1, E1s0 = 508.2 ± 0.1 eV, σr = 10^-2), and the two calibration points themselves are not infinitely precise. Because the scaling is highly nonlinear and Table A1 extrapolates to d_H = 0.88–1.17 Å, the quoted precision is unjustified and the absence of error bars makes it impossible to judge whether, for example, the 3610 cm^-1 OH^- value is truly distinct from the 3650 cm^-1 vapor value.
  4. [Discussion of perturbations (Fig. 3, Fig. A3)] The paper uses temperature-, cluster-size-, and pressure-resolved Raman data (Fig. A3) to generate the trends in Fig. 3, but it never validates the resulting d_H(T), d_L(T), or E_H(T) against any independent structural or thermodynamic measurement. For instance, the pressure dependence of d_H and d_L predicted from the Raman shifts could be compared with neutron or X-ray diffraction results for ice under pressure; no such comparison is made. Without an external benchmark, the agreement between the predicted trends and the HBCP picture is circular because the HBCP regulation itself was used to interpret the input Raman peaks.
minor comments (6)
  1. [Eq. (1)] The typesetting of Eq. (1) is garbled in the manuscript; the Hamiltonian, the Bloch wavefunction, and the tight-binding approximations are not displayed in a readable form, which makes it difficult to follow the derivation.
  2. [Eq. (9)] The expression for the flexibility α(q) in Eq. (9) is dimensionally unclear and the symbols dL in the first equality appear inconsistent with the intended H–O bond length; please clarify the notation and the derivatives used.
  3. [Table A1] The column heading 'Ln(Δω/(Δω_b)' is incomplete and the base of the logarithm is not defined; also, the values in that column do not appear to match the stated formula for all rows, which should be checked.
  4. [Abstract and summary] The text contains several typographical errors, such as 'relxation' and 'flecxibility' in the summary, and the phrase 'monitorization' is unconventional; I recommend a careful language edit.
  5. [References] The citation for the 'referential input values' of the bulk and dangling states (references 22, 26, 36, 37) would benefit from clear labelling of which value comes from which reference; currently the reader must infer the provenance of individual numbers in Table 1.
  6. [Figure A2] The inset of Figure A2a mentions 'Danging dH = 0.09 nm' which is presumably 'dangling'; please correct the typo and ensure units are consistent (Å versus nm).

Circularity Check

3 steps flagged · score 6.0 of 10

The 'monitorization' framework reduces to a two-point-calibrated power law self-cited from the authors' prior work; the referential database is the calibration curve itself, so readouts are not independent predictions.

  1. self citation load bearing [Introduction, page 5, Eq. (6) and preceding paragraph]
    "This correlation is universal to any two-body interactions with the m value varying intrinsically from substance to substance 29, 30."

    The paper's entire quantitative machinery rests on the power law E_H = d_H^{-m} and the derived exponent (1+m/2) in Eq. (6). This correlation is asserted as universal solely by citing the authors' own prior reviews (references 29 and 30), with no derivation or independent test presented here. Thus, the load-bearing premise is a self-citation, and the frequency-to-length mapping is an unsupported ansatz imported from the authors' previous work.

  2. fitted input called prediction [Table A1 and the sentence preceding it, page 11]
    "Table A1 tabulates the H–O bond frequency dependence of the concerned quantities for reference ... One can thus readily quantify these parameters and their flexibility in situ from the presented referential database during phonon spectroscopy."

    Table A1 is generated entirely from the two-point-calibrated m and the fitted ω0 using Eq. (6). Every 'quantified' value read from the table (d_H, E_H, ΔE1s, d_L) is just an evaluation of the calibration curve at the measured ωH. The database is not an independent reference; it is the model's own output. Any use of the database to 'monitor' the H–O bond is therefore reading off the fitted curve, making the predicted quantities equivalent to the fit by construction.

1 more flagged steps
  1. other [Section 'Principles and derivatives', after Eq. (8), page 9]
    "Fine-tuning of the measured ωH(C) and E1s(C) values is necessary to meet eq (8) condition, which resulted in the skin mode of 3450 cm-1 corresponding to a 0.65% H–O bond contraction"

    The measured spectroscopic values are adjusted to satisfy the model's Eq. (8) minimization condition before being used to illustrate the model's quantitative capability. This reverses the usual validation direction: data are modified to fit the theory, then the adjusted data are presented as confirming the theory. The subsequent 'agreement' with synchrotron electron spectroscopy is therefore not an independent check but a consequence of the adjustment.

full rationale

The paper calibrates the bond nature index m from two reference (d_H, E_H) points and then uses that same m to construct the frequency-to-length relation in Eq. (6). The resulting Table A1 is a tabulation of this self-consistent model. While the mathematical steps from Eq. (5) to Eq. (6) are internally valid given the power-law premise, that premise is introduced by citing the authors' own prior reviews (refs 29,30) and is never tested against independent data within this paper. The central 'monitorization' claim thus reduces to applying a self-cited ansatz rather than deriving a new result. The fine-tuning of measured values to satisfy Eq. (8) further undercuts the claim of independent quantification. However, the paper does provide a clear, falsifiable mapping: if the exponent (1+m/2) were tested against direct force-constant calculations or a set of spectroscopically characterized bonds, the framework could be validated or refuted. That testability prevents a score of 8 or 10, but the absence of any such test and the self-referential construction of the database justify a score of 6.

Assumptions & free parameters 3 free parameters · 5 assumptions · 0 invented entities

The central claim depends on an assumed power-law relation and two additional assumed exponents. These are calibrated using two data points and then used to generate the entire referential table, with no independent validation. The minimization of Q0 adds two more fitted parameters. The HBCP relation for d_L is imported from the authors' prior work without restating its derivation.

free parameters (3)
  • m (bond nature index) = 2.3683
    Fitted from two calibration states: bulk water (1.0004 Å, 3.97 eV, 3200 cm^-1) and dangling H-O bond (0.90 Å, 5.1 eV, 3610 cm^-1), using Ln(E/Eb)/Ln(C). This is the central parameter controlling all derived quantities.
  • ω0 (referential H-O vibration frequency) = 1628 cm^-1
    Refined by the minimization condition in Eq. (8) over the spectral peak components; it is unobserved directly and is set to make the self-consistency condition hold.
  • E1s0 (referential O 1s core level) = 508.2 eV
    Refined by the same minimization condition in Eq. (8); it is not directly measured and is tuned as part of the calibration.
assumptions (5)
  • ad hoc to paper The two-body bond energy and length obey a power law E = E_b * C^{-m} for all substances, with C = d/d_b.
    Central assumption taken from the authors' prior BOLS theory (Refs. 29, 30). It is not derived in this paper and no independent validation is offered for the H-O bond.
  • ad hoc to paper The H-O vibration frequency shift scales as Δω ∝ C^{-(1+m/2)}.
    Asserted in Eq. (6) without derivation. The text mentions the second Taylor coefficient of the potential but never derives the exponent from a specific potential form.
  • ad hoc to paper The O 1s energy shift scales as ΔE1s ∝ C^{-m}.
    Stated from the tight-binding exchange integral being proportional to bond energy, but the power-law exponent is assumed, not shown from TB matrix elements.
  • domain assumption The O-O repulsive coupling (HBCP) governs the cooperative relaxation of O:H and H-O bonds, giving d_L values.
    Taken from the authors' Ref. 22. It is used to populate the d_L column of Table A1, but the specific functional relation is not stated in this paper.
  • standard math Standard tight-binding Hamiltonian and Bloch wave functions apply to the H-O bond system.
    The TB equations are standard, but the connection between the TB parameters and the power-law exponents is not established.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Monitorization of the H-O Bond Flexibility." pith.science (2026). https://pith.science/paper/DVD7VVAZ

@misc{pith2026250101469,
  author       = {Pith},
  title        = {Pith review of: Monitorization of the H-O Bond Flexibility},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/DVD7VVAZ}},
  note         = {Machine review of arXiv:2501.01469}
}
read the original abstract

Unlike conventional thought, the H-O bond is flexible, instead, and sensitive to perturbation. This exercise empowers the electron and phonon spectroscopies with the Tight-binding approach, enabling a referential database to synchronically quantize the relaxation and flexibility of these identities for substances involving the H-O bond during phonon spectroscopy.

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

48 extracted references · 48 canonical work pages

  1. [1]

    R.; Klein, R

    Arunan, E.; Desiraju, G. R.; Klein, R. A.; Sadlej, J.; Scheiner, S.; Alkorta, I.; Clary, D. C.; Crabtree, R. H.; Dannenberg, J. J.; Hobza, P.; Kjaergaard, H. G.; Legon, A. C.; Mennucci, B.; Nesbitt, D. J., Defining the hydrogen bond: An account (IUPAC Technical Report). Pure Appl. Chem. 2011, 83 (8), 1619-1636

  2. [2]

    E., On the forces between atoms and ions

    Lennard-Jones, J. E., On the forces between atoms and ions. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character 1925, 109 (752), 584-597

  3. [3]

    D.; Fowler, R

    Bernal, J. D.; Fowler, R. H., A Theory of Water and Ionic Solution, with Particular Reference to Hydrogen and Hydroxyl Ions. J. Chem. Phys. 1933, 1 (8), 515-548

  4. [4]

    J.; Postma, J

    Berendsen, H. J.; Postma, J. P.; van Gunsteren, W. F.; Hermans, J. In Interaction models for water in relation to protein hydration, Intermolecular forces: proceedings of the fourteenth Jerusalem symposium on quantum chemistry and biochemistry held in jerusalem, israel, april 13–16, 1981, Springer: 1981; pp 331-342

  5. [5]

    L.; Chandrasekhar, J.; Madura, J

    Jorgensen, W. L.; Chandrasekhar, J.; Madura, J. D.; Impey, R. W.; Klein, M. L., Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 1983, 79 (2), 926-935

  6. [6]

    L.; Madura, J

    Jorgensen, W. L.; Madura, J. D., Temperature and size dependence for Monte Carlo simulations of TIP4P water. Mol. Phys. 1985, 56 (6), 1381-1392

  7. [7]

    W.; Jorgensen, W

    Mahoney, M. W.; Jorgensen, W. L., A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions. J. Chem. Phys. 2000, 112 (20), 8910-8922

  8. [8]

    W.; Kollman, P

    Caldwell, J. W.; Kollman, P . A., Structure and properties of neat liquids using nonadditive molecular dynamics: water, methanol, and N-methylacetamide. J. Chem. Phys. 1995, 99 (16), 6208-6219

Show all 48 references
  1. [9]

    J.; Grigera, J

    Berendsen, H. J.; Grigera, J. -R.; Straatsma, T. P., The missing term in effective pair potentials. J. Phys. Chem. 1987, 91 (24), 6269-6271

  2. [10]

    W.; Case, D

    Ponder, J. W.; Case, D. A., Force fields for protein simulations. Adv. Protein Chem. 2003, 66, 27-85

  3. [11]

    G.; Ramírez, R.; Sesé, L

    McBride, C.; Vega, C.; Noya, E. G.; Ramírez, R.; Sesé, L. M., Quantum contributions in the ice phases: The path to a new empirical model for water—TIP4PQ/2005. J. Chem. Phys. 2009, 131 (2), 024506

  4. [12]

    G.; Car, R.; Qiu, D

    Tang, F.; Li, Z.; Zhang, C.; Louie, S. G.; Car, R.; Qiu, D. Y .; Wu, X., Many -body effects in the X-ray absorption spectra of liquid water. Proceedings of the National Academy of Sciences 2022, 119 (20), e2201258119

  5. [13]

    I.; Parrinello, M., Temperature dependence of homogeneous nucleation in ice

    Niu, H.; Yang, Y . I.; Parrinello, M., Temperature dependence of homogeneous nucleation in ice. Phys. Rev. Lett. 2019, 122 (24), 245501

  6. [14]

    Nature Reviews Chemistry 2019, 3 (3), 172-188

    Slater, B.; Michaelides, A., Surface premelting of water ice. Nature Reviews Chemistry 2019, 3 (3), 172-188

  7. [15]

    Catalysts 2021, 11 (7), 807

    Goga, N.; Mayrhofer, L.; Tranca, I.; Nedea, S.; Heijmans, K.; Ponnuchamy, V .; Vasilateanu, A., A review of recent developments in molecular dynamics simulations of the photoelectrochemical water splitting process. Catalysts 2021, 11 (7), 807

  8. [16]

    Yang, J.; Dettori, R.; Nunes, J. P. F.; List, N. H.; Biasin, E.; Centurion, M.; Chen, Z.; Cordones, A. A.; Deponte, D. P .; Heinz, T. F.; Kozina, M. E.; Ledbetter, K.; Lin, M. -F.; Lindenberg, A. M.; Mo, M.; Nilsson, A.; Shen, X.; Wolf, T. J. A.; Donadio, D.; Gaffney, K. J.; M...

  9. [17]

    Proceedings of the Royal Society of London 1860, 10, 440-450

    Faraday, M., Note on Regelation. Proceedings of the Royal Society of London 1860, 10, 440-450

  10. [18]

    B.; Osborne, D

    Mpemba, E. B.; Osborne, D. G., Cool? Phys. Educ. 1979, 14, 410-413

  11. [19]

    Y .; Chen, S

    Mallamace, F.; Branca, C.; Broccio, M.; Corsaro, C.; Mou, C. Y .; Chen, S. H., The anomalous behavior of the density of water in the range 30 K < T < 373 K. Proc. Natl. Acad. Sci. U.S.A. 2007, 104 (47), 18387-91. 16

  12. [20]

    Montero de Hijes, P.; Dellago, C.; Jinnouchi, R.; Kresse, G., Density isobar of water and melting temperature of ice: Assessing common density functionals. J. Chem. Phys. 2024, 161 (13)

  13. [21]

    Montero de Hijes, P.; Dellago, C.; Jinnouchi, R.; Schmiedmayer, B.; Kresse, G., Comparing machine learning potentials for water: Kernel-based regression and Behler–Parrinello neural networks. J. Chem. Phys. 2024, 160 (11)

  14. [22]

    Q.; Huang, Y .; Zhang, X.; Ma, Z.; Wang, B., The physics behind water irregularity

    Sun, C. Q.; Huang, Y .; Zhang, X.; Ma, Z.; Wang, B., The physics behind water irregularity. Physics Reports 2023, 998, 1-68

  15. [23]

    Q., Oxidation electronics: bond-band-barrier correlation and its applications

    Sun, C. Q., Oxidation electronics: bond-band-barrier correlation and its applications. Prog. Mater Sci. 2003, 48 (6), 521- 685

  16. [24]

    F.; Struzhkin, V

    Goncharov, A. F.; Struzhkin, V . V .; Mao, H.-k.; Hemley, R. J., Raman spectroscopy of dense H 2 O and the transition to symmetric hydrogen bonds. Phys. Rev. Lett. 1999, 83 (10), 1998

  17. [25]

    Q.; Zhang, X.; Zheng, W

    Sun, C. Q.; Zhang, X.; Zheng, W. T., Hidden force opposing ice compression. Chem Sci 2012, 3, 1455-1460

  18. [26]

    Q., Aqueous charge injection: solvation bonding dynamics, molecular nonbond interactions, and extraordinary solute capabilities

    Sun, C. Q., Aqueous charge injection: solvation bonding dynamics, molecular nonbond interactions, and extraordinary solute capabilities. Int. Rev. Phys. Chem. 2018, 37 (3-4), 363-558

  19. [27]

    Q., Discriminative Mechanical and Thermal Response of the H-N Bonds for the Energetic LLM-105 Molecular Assembly

    Wang, J.; Zeng, Y .; Zheng, Z.; Zhang, L.; Wang, B.; Yang, Y .; Sun, C. Q., Discriminative Mechanical and Thermal Response of the H-N Bonds for the Energetic LLM-105 Molecular Assembly. J. Phys. Chem. Lett. 2023, 14, 8555−8562

  20. [28]

    Q.; Chen, J., Stabilization of the Dual -Aromatic Cyclo-N5ˉ Anion by Acidic Entrapment

    Zhang, L.; Yao, C.; Yu, Y .; Jiang, S.-L.; Sun, C. Q.; Chen, J., Stabilization of the Dual -Aromatic Cyclo-N5ˉ Anion by Acidic Entrapment. Journal of physical chemistry letters 2019, 10, 2378–2385

  21. [29]

    Q., Size dependence of nanostructures: Impact of bond order deficiency

    Sun, C. Q., Size dependence of nanostructures: Impact of bond order deficiency. Prog. Solid State Chem. 2007, 35, 1- 159

  22. [30]

    J.; Zhang, X.; Bo, M

    Liu, X. J.; Zhang, X.; Bo, M. L.; Li, L.; Nie, Y . G.; Tian, H.; Sun, Y .; Xu, S.; Wang, Y .; Zheng, W.; Sun, C. Q., Coordination-resolved electron spectrometrics. Chem. Rev. 2015, 115 (14), 6746-6810

  23. [31]

    A., Elementary Solid State Physics: Principles and Applications

    Omar, M. A., Elementary Solid State Physics: Principles and Applications. Addison-Wesley: New York, 1993

  24. [32]

    Q., Hydrogen Bond Asymmetric Local Potentials in Compressed Ice

    Huang, Y .; Ma, Z.; Zhang, X.; Zhou, G.; Zhou, Y .; Sun, C. Q., Hydrogen Bond Asymmetric Local Potentials in Compressed Ice. J. Phys. Chem. B 2013, 117 (43), 13639-13645

  25. [33]

    Q., Multifield-resolved phonon spectrometrics: structured crystals and liquids

    Yang, X.; Peng, C.; Li, L.; Bo, M.; Sun, Y .; Huang, Y .; Sun, C. Q., Multifield-resolved phonon spectrometrics: structured crystals and liquids. Prog. Solid State Chem. 2019, 55, 20-66

  26. [34]

    C.; Sammer, M.; Wexler, A

    Fuchs, E. C.; Sammer, M.; Wexler, A. D.; Kuntke, P .; Woisetschläger, J., A floating water bridge produces water with excess charge. J. Phys. D: Appl. Phys. 2016, 49 (12), 125502

  27. [35]

    Q., Size, separation, structure order, and mass density of molecules packing in water and ice

    Huang, Y .; Zhang, X.; Ma, Z.; Zhou, Y .; Zhou, J.; Zheng, W.; Sun, C. Q., Size, separation, structure order, and mass density of molecules packing in water and ice. Sci Rep 2013, 3, 3005

  28. [36]

    Physical Chemistry Chemical Physics 2011, 13, 413-417

    Nishizawa, K.; Kurahashi, N.; Sekiguchi, K.; Mizuno, T.; Ogi, Y .; Horio, T.; Oura, M.; Kosugi, N.; Suzuki, T., High-resolution soft X-ray photoelectron spectroscopy of liquid water. Physical Chemistry Chemical Physics 2011, 13, 413-417

  29. [37]

    A.; Hwang, D

    Harich, S. A.; Hwang, D. W. H.; Yang, X.; Lin, J. J.; Yang, X.; Dixon, R. N., Photodissociation of H2O at 121.6 nm: A state-to-state dynamical picture. J. Chem. Phys. 2000, 113 (22), 10073-10090

  30. [38]

    C.; Burnham, J.; Leighton, P

    Cross, P. C.; Burnham, J.; Leighton, P. A., The Raman spectrum and the structure of water. Journal of the American Chemical Society 1937, 59, 1134-1147

  31. [39]

    Nature Astronomy 2024, 8 (9), 1127-1137

    Jin, S.; Hao, M.; Guo, Z.; Yin, B.; Ma, Y .; Deng, L.; Chen, X.; Song, Y .; Cao, C.; Chai, C.; Wei, Q.; Ma, Y .; Guo, J.; Chen, X., Evidence of a hydrated mineral enriched in water and ammonium molecules in the Chang’e-5 lunar sample. Nature Astronomy 2024, 8 (9), 1127-1137

  32. [40]

    R.; Schaller, R

    Wilson, K. R.; Schaller, R. D.; Co, D. T.; Saykally, R. J.; Rude, B. S.; Catalano, T.; Bozek, J. D., Surface relaxation in liquid water and methanol studied by x-ray absorption spectroscopy. J. Chem. Phys. 2002, 117 (16), 7738-7744

  33. [41]

    D.; Appadoo, D.; Bauerecker, S.; Robertson, E

    Medcraft, C.; McNaughton, D.; Thompson, C. D.; Appadoo, D.; Bauerecker, S.; Robertson, E. G., Size and Temperature Dependence in the Far-Ir Spectra of Water Ice Particles. The Astrophysical Journal 2012, 758 (1), 17

  34. [42]

    Hirabayashi, S.; Yamada, K. M. T., Infrared spectra and structure of water clusters trapped in argon and krypton matrices. J. Mol. Struct. 2006, 795 (1-3), 78-83

  35. [43]

    Ceponkus, J.; Uvdal, P.; Nelander, B., Water tetramer, pentamer, and hexamer in inert matrices. J. Phys. Chem. A 2012, 116 (20), 4842-50

  36. [44]

    F.; Reid, J

    Kahan, T. F.; Reid, J. P.; Donaldson, D. J., Spectroscopic probes of the quasi -liquid layer on ice. J. Phys. Chem. A 2007, 111 (43), 11006-11012

  37. [45]

    E.; Fayer, M

    Park, S.; Moilanen, D. E.; Fayer, M. D., Water Dynamics: The Effects of Ions and Nanoconfinement. J. Phys. Chem. B 2008, 112 (17), 5279-5290

  38. [46]

    F.; Hergenhahn, U.; Faubel, M.; Hertel, I

    Winter, B.; Aziz, E. F.; Hergenhahn, U.; Faubel, M.; Hertel, I. V ., Hydrogen bonds in liquid water studied by photoelectron spectroscopy. J. Chem. Phys. 2007, 126 (12), 124504. 17

  39. [47]

    D.; Appadoo, D

    Medcraft, C.; McNaughton, D.; Thompson, C. D.; Appadoo, D. R. T.; Bauerecker, S.; Robertson, E. G., Water ice nanoparticles: size and temperature effects on the mid-infrared spectrum. Physical Chemistry Chemical Physics 2013, 15 (10), 3630-3639

  40. [48]

    Ponterio, R.; Pochylski, M.; Aliotta, F.; Vasi, C.; Fontanella, M.; Saija, F., Raman scattering measurements on a floating water bridge. J. Phys. D: Appl. Phys. 2010, 43 (17), 175405

Pith tools

Reviewed August 10, 2026 · model on record in the stance chip above.