pith:XFMUFHDD
Lost in Translation: Simulation-Informed Bayesian Inference Improves Understanding of Molecular Motion From Neutron Scattering
Integrating molecular dynamics simulations with Bayesian discrimination of quasi-elastic neutron scattering data resolves anisotropic rotational motion in liquid benzene.
arxiv:2603.06080 v4 · 2026-03-06 · physics.chem-ph
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Claims
By integrating molecular dynamics simulations, physically derived Q-dependent scattering models, Bayesian model discrimination, and polarisation analysis, we demonstrate that QENS can, for the first time, resolve anisotropic rotational motion in liquid benzene... The extracted spinning and tumbling diffusion coefficients suggest substantially stronger anisotropy than previously recognised.
That the molecular dynamics simulations produce scattering functions that are sufficiently accurate and complete to serve as the basis for Bayesian discrimination between physically distinct rotational mechanisms.
Integrating MD simulations, physically derived scattering models, Bayesian model selection and polarisation analysis allows QENS to resolve anisotropic rotational diffusion in liquid benzene with stronger anisotropy than prior models indicated.
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| First computed | 2026-06-08T01:04:00.189171Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b959429c6335a7fb6192b3e925a23ca7510204a08fdb8fe7dfcb3f40b239d58e
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/XFMUFHDDGWT7WYMSWPUSLIR4U5 \
| 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: b959429c6335a7fb6192b3e925a23ca7510204a08fdb8fe7dfcb3f40b239d58e
Canonical record JSON
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