Starting from the amorphous ground state: linking landscape thermodynamics to slow dynamics and crossover
Pith reviewed 2026-05-25 08:31 UTC · model grok-4.3
The pith
Depletion of low-energy states in the potential energy landscape produces the fragile-to-strong crossover.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Using swap Monte Carlo combined with full PEL analysis, we obtain equilibrium data deep into the glassy regime in a finite system that reproduces bulk behaviour for T ≳ Tg/2. We find a pronounced depletion of low-energy states relative to the Gaussian regime of the PEL, which governs the low-temperature curvature of the configurational entropy. The apparent activation energy of the diffusivity closely follows the temperature dependence of the mean inherent structure energy and exhibits a gradual crossover towards Arrhenius-like behaviour. This correlation is consistent with a trap-model description of the PEL, in which the FSC emerges naturally as a consequence of the depletion of low-energy
What carries the argument
Depletion of low-energy states relative to the Gaussian regime of the PEL and the resulting lower bound, which sets the low-T curvature of configurational entropy in a trap-model description.
If this is right
- The apparent activation energy of diffusivity follows the temperature dependence of the mean inherent structure energy.
- The FSC emerges as a natural consequence of the depletion of low-energy states and the lower bound of the PEL.
- The observability of the FSC depends on whether the depletion regime is reached within the accessible temperature window, as shown by the binomial model.
Where Pith is reading between the lines
- This mechanism suggests that the FSC should be more pronounced in systems where the Gaussian approximation fails at higher temperatures.
- The approach of exhaustive PEL sampling could be applied to other models to test if the same depletion mechanism governs their dynamics.
- If the lower bound is the key, then modifying the model to have deeper states might shift or eliminate the crossover.
Load-bearing premise
A single finite system size simultaneously reproduces bulk thermodynamic and dynamic behaviour for T ≳ Tg/2 while permitting exhaustive sampling of the PEL down to its lowest-energy amorphous states.
What would settle it
If in a larger system the low-energy depletion is not observed or the activation energy does not track the mean inherent structure energy despite the presence of a FSC, the proposed connection would be falsified.
Figures
read the original abstract
A microscopic understanding of low-temperature thermodynamics and its relation to dynamical features such as a fragile-to-strong crossover (FSC) remains a central challenge in glass physics. Using swap Monte Carlo combined with a full potential-energy-landscape (PEL) analysis of a non-network-forming model, we obtain equilibrium data deep into the glassy regime and identify a finite system size that simultaneously reproduces bulk behaviour for $T \gtrsim T_g/2$ and allows complete sampling of the PEL down to its lowest-energy amorphous states. This enables the direct computation of the configurational entropy over the full temperature range of the finite system without relying on liquid-state thermodynamic integration. We find a pronounced depletion of low-energy states relative to the Gaussian regime of the PEL, which governs the low-temperature curvature of the configurational entropy. Numerically, the apparent activation energy of the diffusivity closely follows the temperature dependence of the mean inherent structure energy and exhibits a gradual crossover towards Arrhenius-like behaviour. This correlation is consistent with a trap-model description of the PEL, in which the FSC emerges naturally as a consequence of the depletion of low-energy states and thus of the lower bound of the PEL. We further argue, as illustrated analytically for a simple binomial model of the PEL, that the observability of a FSC depends on whether the depletion regime is reached within the accessible temperature window.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript investigates the connection between the potential energy landscape (PEL) structure and the fragile-to-strong crossover (FSC) in glass-forming liquids. Using swap Monte Carlo simulations combined with exhaustive PEL enumeration on a finite system of a non-network-forming model, the authors identify a system size that matches bulk behavior above Tg/2 and allows complete sampling down to the lowest amorphous states. They compute the configurational entropy directly, observe depletion of low-energy states, and show that the apparent activation energy of diffusivity correlates with the mean inherent structure energy, leading to a crossover to Arrhenius behavior. This is interpreted through a trap model, with an analytic binomial PEL model illustrating the conditions for observing the FSC.
Significance. If the finite-size validation holds and the correlations are robust, this provides a microscopic explanation for the FSC arising directly from depletion of low-energy states and the PEL lower bound. The direct computation of configurational entropy over the full range without liquid-state integration, the numerical correlation between activation energy and mean inherent-structure energy, and the parameter-free analytic binomial illustration are notable strengths that could advance trap-model interpretations of glassy dynamics.
major comments (1)
- [Abstract, paragraph 2] Abstract, paragraph 2: The central claim that a single finite system size N simultaneously reproduces bulk thermodynamic and dynamic behaviour for T ≳ Tg/2 while permitting exhaustive sampling of the PEL down to its lowest-energy amorphous states is load-bearing for the interpretation. No quantitative validation is described showing that diffusivity or relaxation times from this N match those of larger systems in the overlapping temperature window; without such checks, finite-size rounding of the PEL or altered barrier statistics could produce an apparent depletion and crossover that does not survive in the thermodynamic limit.
Simulated Author's Rebuttal
We thank the referee for their careful reading and constructive comments. The concern about finite-size validation of dynamics is well taken and we address it directly below.
read point-by-point responses
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Referee: [Abstract, paragraph 2] Abstract, paragraph 2: The central claim that a single finite system size N simultaneously reproduces bulk thermodynamic and dynamic behaviour for T ≳ Tg/2 while permitting exhaustive sampling of the PEL down to its lowest-energy amorphous states is load-bearing for the interpretation. No quantitative validation is described showing that diffusivity or relaxation times from this N match those of larger systems in the overlapping temperature window; without such checks, finite-size rounding of the PEL or altered barrier statistics could produce an apparent depletion and crossover that does not survive in the thermodynamic limit.
Authors: We agree that explicit quantitative checks on dynamics are necessary to support the claim. The manuscript validates thermodynamic quantities (configurational entropy, mean inherent-structure energy) against larger N in the T ≳ Tg/2 window, but does not present corresponding diffusivity or relaxation-time comparisons. In the revised manuscript we will add these comparisons, using additional swap-MC runs on larger systems where computationally feasible, to demonstrate that the chosen N reproduces bulk-like dynamics within statistical error above Tg/2. This will directly address the possibility of finite-size effects on barrier statistics. revision: yes
Circularity Check
No significant circularity; results from direct PEL enumeration and independent analytic illustration
full rationale
The derivation computes depletion of low-energy states and configurational entropy directly via exhaustive inherent-structure enumeration on a selected finite system, then observes that diffusivity activation energy tracks mean inherent-structure energy. The trap-model description is invoked only as a post-hoc consistency check ('consistent with a trap-model description'), not as the source of the depletion or the FSC. The binomial model is explicitly an 'analytic illustration' separate from the simulation data. No self-citations, fitted parameters renamed as predictions, or self-definitional steps appear in the abstract or described chain. The finite-size choice is an assertion about representativeness but does not reduce any equation to its own input by construction.
Axiom & Free-Parameter Ledger
free parameters (1)
- finite system size N
axioms (2)
- domain assumption Configurational entropy can be obtained by direct enumeration of inherent structures in the PEL without thermodynamic integration from the liquid
- standard math Standard assumptions of classical statistical mechanics relating inherent-structure energies to thermodynamic quantities
Reference graph
Works this paper leans on
-
[1]
suggests a possibility of VFT-like divergence not be- ing a complete description of the glassy dynamics, which is further corroborated by Mallamace et al. [34] for a variety of experimental systems suggesting strong be- havior in the low-T limit in supercooled liquids. In the context of FSC, we analyze a range of fragile experimen- tal glassy systems and ...
-
[2]
P. W. Anderson, Science 267, 1615 (1995)
work page 1995
-
[3]
P. G. Debenedetti and F. H. Stillinger, Nature 410, 259 (2001)
work page 2001
-
[4]
B. Schmidtke, N. Petzold, R. Kahlau, M. Hofmann, and E. R¨ ossler, Physical Review E86, 041507 (2012)
work page 2012
-
[5]
Angell, Journal of Non-Crystalline Solids 131, 13 (1991)
C. Angell, Journal of Non-Crystalline Solids 131, 13 (1991)
work page 1991
-
[6]
I. Saika-Voivod, P. H. Poole, and F. Sciortino, Nature 412, 514 (2001)
work page 2001
-
[7]
A. Saksaengwijit, J. Reinisch, and A. Heuer, Physical review letters 93, 235701 (2004)
work page 2004
- [8]
-
[9]
V. Lubchenko and P. G. Wolynes, Annu. Rev. Phys. Chem. 58, 235 (2007)
work page 2007
-
[10]
T. R. Kirkpatrick, D. Thirumalai, and P. G. Wolynes, Physical Review A 40, 1045 (1989)
work page 1989
-
[11]
Goldstein, The Journal of Chemical Physics 51, 3728 (1969)
M. Goldstein, The Journal of Chemical Physics 51, 3728 (1969)
work page 1969
-
[12]
Angell, in Hydrogen-Bonded Liquids (Springer, 1991) pp
C. Angell, in Hydrogen-Bonded Liquids (Springer, 1991) pp. 59–79
work page 1991
- [13]
-
[14]
Sciortino, Journal of Statistical Mechanics: Theory and Experiment 2005, P05015 (2005)
F. Sciortino, Journal of Statistical Mechanics: Theory and Experiment 2005, P05015 (2005)
work page 2005
-
[15]
E. La Nave, S. Sastry, and F. Sciortino, Physical Review E 74, 050501 (2006)
work page 2006
-
[16]
Heuer, Journal of Physics: Condensed Matter 20, 373101 (2008)
A. Heuer, Journal of Physics: Condensed Matter 20, 373101 (2008)
work page 2008
-
[17]
M. Baity-Jesi, G. Biroli, and D. R. Reichman, The Eu- ropean Physical Journal E 44, 1 (2021)
work page 2021
- [18]
-
[19]
B. Doliwa and A. Heuer, Journal of Physics: Condensed Matter 15, S849 (2003)
work page 2003
- [20]
-
[21]
P. K. Roy and A. Heuer, The Journal of Chemical Physics 157, 174506 (2022)
work page 2022
-
[22]
Z. Yu, D. Morgan, M. Ediger, and B. Wang, Physical Review Letters 129, 018003 (2022)
work page 2022
-
[23]
A. Ninarello, L. Berthier, and D. Coslovich, Physical Review X 7, 021039 (2017)
work page 2017
-
[24]
A. D. Parmar, M. Ozawa, and L. Berthier, Physical Re- view Letters 125, 085505 (2020)
work page 2020
-
[25]
Plimpton, Journal of computational physics 117, 1 (1995)
S. Plimpton, Journal of computational physics 117, 1 (1995)
work page 1995
-
[26]
C. Rehwald, O. Rubner, and A. Heuer, Physical review letters 105, 117801 (2010)
work page 2010
- [27]
-
[28]
A. Heuer and S. B¨ uchner, Journal of Physics: Condensed Matter 12, 6535 (2000)
work page 2000
-
[29]
Kauzmann, Chemical reviews 43, 219 (1948)
W. Kauzmann, Chemical reviews 43, 219 (1948)
work page 1948
- [30]
-
[31]
L. Berthier, P. Charbonneau, A. Ninarello, M. Ozawa, and S. Yaida, Nature communications 10, 1508 (2019)
work page 2019
-
[32]
P. K. Roy and A. Heuer, Physical Review Letters 122, 016104 (2019). 8
work page 2019
- [33]
-
[34]
T. Hecksher, A. I. Nielsen, N. B. Olsen, and J. C. Dyre, Nature Physics 4, 737 (2008)
work page 2008
-
[35]
F. Mallamace, C. Branca, C. Corsaro, N. Leone, J. Spooren, S.-H. Chen, and H. E. Stanley, Proceedings of the National Academy of Sciences 107, 22457 (2010)
work page 2010
-
[36]
R. Casalini, M. Paluch, and C. M. Roland, Journal of Physics: Condensed Matter 15, S859 (2003)
work page 2003
-
[37]
R. Casalini, M. Paluch, and C. M. Roland, The Journal of chemical physics 118, 5701 (2003)
work page 2003
-
[38]
Rah, Physica A: Statistical Mechanics and its Appli- cations 378, 167 (2007)
K. Rah, Physica A: Statistical Mechanics and its Appli- cations 378, 167 (2007)
work page 2007
-
[39]
J. Zhao, S. L. Simon, and G. B. McKenna, Nature com- munications 4, 1 (2013)
work page 2013
- [40]
-
[41]
E. A. A. Pogna, C. Rodr´ ıguez-Tinoco, G. Cerullo, C. Fer- rante, J. Rodr´ ıguez-Viejo, and T. Scopigno, Proceedings of the National Academy of Sciences 112, 2331 (2015)
work page 2015
-
[42]
V. Jadhao and M. O. Robbins, Proceedings of the Na- tional Academy of Sciences 114, 7952 (2017)
work page 2017
-
[43]
L. Berthier and M. D. Ediger, The Journal of Chemical Physics 153, 044501 (2020)
work page 2020
- [44]
- [45]
- [46]
discussion (0)
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