Evidence map›Paper›PMID 40184435›Full record

ArticleThe journal of physical chemistry. A2025

High-Frequency Tails in Spectral Densities.

Roman Korol, Xinxian Chen, Ignacio Franco

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Article in The journal of physical chemistry. A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Roman KorolDepartment of Chemistry, University of Rochester, Rochester, New York 14627, United States.ORCID 0000-0001-9307-6351
Xinxian ChenDepartment of Chemistry, University of Rochester, Rochester, New York 14627, United States.ORCID 0000-0002-0363-0097
Ignacio FrancoDepartment of Chemistry, University of Rochester, Rochester, New York 14627, United States.ORCID 0000-0002-0802-8185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in numerically exact quantum dynamics methods have brought the dream of accurately modeling the dynamics of chemically complex open systems within reach. Path-integral-based methods, hierarchical equations of motion, and quantum analog simulators all require the spectral density (SD) of the environment to describe its effect on the system. Here, we focus on the decoherence dynamics of electronically excited species in solution in the common case where nonradiative electronic relaxation dominates and is much slower than electronic dephasing. We show that the computed relaxation rate is highly sensitive to the choice of SD representation─such as the Drude-Lorentz or Brownian modes─or strategy used to capture the main SD features, even when early-time dephasing dynamics remains robust. The key reason is that electronic relaxation is dominated by the resonant contribution from the high-frequency tails of the SD, which are orders of magnitude weaker than the main features of the SD and can vary significantly between strategies. This finding highlights an important, yet overlooked, numerical challenge: obtaining an accurate SD requires capturing its structure over several orders of magnitude to ensure correct decoherence dynamics at both early and late times. To address this, we provide a simple transformation that recovers the correct relaxation rates in quantum simulations constrained by algorithmic or physical limitations on the shape of the SD. Our findings enable a comparison of different numerically exact simulation methods and expand the capabilities of analog simulations of open quantum dynamics.

Identifiers

PMID40184435
PMCPMC12010327

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.