Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 23 min ago
PreprintCC BY 4.0arXiv

Mobility-network topology carries incremental, softness-orthogonal information about future aging dynamics in a glass-forming liquid

Abstract

Does the spatial organization of particle mobility in a glass predict future motion beyond what local structure knows? In leakage-free simulations of an aging Kob--Andersen liquid (N=2028; 200 trajectories; three temperatures), mobility-network topology raises the out-of-fold R2 by dRtwo=0.0049--$0.0122$, monotonically with quench depth, retaining ≥ 98% atop softness-class baselines. Giant mobile components are dense hotspots whose members subsequently quiet down: exhaustion zones of cooperative motion --- a spatial anticorrelation channel invisible to single-particle descriptors.

Related

  1. Topology Does Not Determine Defect Mobility in Active Polar Matter
    Abhra Puitandy, Shradha Mishra
    arXivPreprintCC BY-NC-ND 4.0Full textCondensed matterStatistical & nonlinear physicsarXiv
  2. Carnot Meets Quantum Information: A Thermal Machine Driven by Non-orthogonal State Discrimination
    Tan-Ji Zhou, Yun-Qian Lin, Yu-Han Ma +1
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  3. Cosmic topology. Part Va. Information content of the observable Universe
    Deyan P Mihaylov, Mikel Martin Barandiaran, Stefano Anselmi +14
    HALPreprintLicence not statedGeneral astronomyGeneral physicsHAL
  4. IR extremality and UV softness in string bootstrap
    Shi-Lin Wan, Ji-Yang Wang, Shuang-Yong Zhou
    arXivPreprintarXiv licenceFull textHigh-energy & particle physicsarXiv
  5. On-the-fly algorithm for Dynamic Mode Decomposition using Incremental Singular Value Decomposition and Total Least Squares
    Daiki Matsumoto, Christian F. Janßen, Thomas Indinger
    Computers & FluidsPeer-reviewedLicence not stated27 citedStatistical & nonlinear physicsOpenAlex
BibTeX
@misc{li2026mobilitynetwork,
  title = {{Mobility-network topology carries incremental, softness-orthogonal information about future aging dynamics in a glass-forming liquid}},
  author = {Zhenpeng Li},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.34022},
  eprint = {2609.34022},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.34022},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Mobility-network topology carries incremental, softness-orthogonal information about future aging dynamics in a glass-forming liquid
AU  - Zhenpeng Li
PY  - 2026
DA  - 2026/09/27
PB  - arXiv
DO  - 10.48550/arxiv.2609.34022
UR  - https://arxiv.org/abs/2609.34022
AB  - Does the spatial organization of particle mobility in a glass predict future motion beyond what local structure knows? In leakage-free simulations of an aging Kob--Andersen liquid (N=2028; 200 trajectories; three temperatures), mobility-network topology raises the out-of-fold R^2 by dRtwo=0.0049--$0.0122$, monotonically with quench depth, retaining ≥ 98% atop softness-class baselines. Giant mobile components are dense hotspots whose members subsequently quiet down: exhaustion zones of cooperative motion --- a spatial anticorrelation channel invisible to single-particle descriptors.
ER  -