pith:X3VMMHFE
How to quantify long-time rotational motion in molecular systems
Existing methods for quantifying rotational motion fail in supercooled liquids with slow or heterogeneous dynamics, but a new empirical method succeeds.
arxiv:2604.21512 v2 · 2026-04-23 · cond-mat.stat-mech · cond-mat.dis-nn · cond-mat.mtrl-sci · cond-mat.soft · physics.chem-ph
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\pithnumber{X3VMMHFE4V55UFWUS6UTEUFKVY}
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Claims
We then introduce an empirical method that efficiently solves all issues. We benchmark our method devising a family of continuous time random walk models for rotational dynamics. Our method correctly quantifies the statistics of free and caged rotational motion, as well as non-Gaussian and non-Fickian rotational dynamics.
That the family of continuous time random walk models used for benchmarking adequately represents the full range of complex, heterogeneous rotational dynamics found in real molecular supercooled liquids, and that the empirical method generalizes beyond these specific models.
Existing methods fail to quantify complex rotational dynamics in molecular fluids, and a new empirical method is proposed that correctly captures free, caged, non-Gaussian, and non-Fickian rotational motion.
Receipt and verification
| First computed | 2026-06-23T01:12:07.484368Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
beeac61ca4e57bda16d497a93250aaae381fd6d6947c9750ec94b6577385a6dc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X3VMMHFE4V55UFWUS6UTEUFKVY \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: beeac61ca4e57bda16d497a93250aaae381fd6d6947c9750ec94b6577385a6dc
Canonical record JSON
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"submitted_at": "2026-04-23T10:15:40Z",
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