Evidence map›Paper›PMID 41364620›Full record

ReviewJournal of chemical theory and computation2025

Consistent and Generalizable Effective Model Hamiltonian Framework for Studying Nonadiabatic Dynamics in the Condensed Phase.

Zengkui Liu, Hao Zeng, Xiang Sun

Abstract readReview
In one paragraph

Review in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zengkui LiuDivision of Arts and Sciences, NYU Shanghai, 567 West Yangsi Road, Shanghai 200124, China.ORCID 0000-0001-6506-9787
Hao ZengDivision of Arts and Sciences, NYU Shanghai, 567 West Yangsi Road, Shanghai 200124, China.ORCID 0009-0001-8584-8718
Xiang SunDivision of Arts and Sciences, NYU Shanghai, 567 West Yangsi Road, Shanghai 200124, China.ORCID 0000-0002-2846-8532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulating nonadiabatic dynamics in complex, condensed-phase systems presents a formidable computational challenge, demanding the development of effective model Hamiltonians that capture the essential physics of electronic and nuclear interactions. This Review charts the evolution of such models, from the foundational two-state spin-boson model to multistate Frenkel exciton models, highlighting the limitations of traditional approaches, particularly the isolated bath assumption, which neglects crucial environmental correlations. We focus on the recently developed multistate harmonic (MSH) model, a general and consistent framework for mapping information from all-atom simulations onto an effective Hamiltonian. The MSH model overcomes the shortcomings of previous models by systematically satisfying all pairwise reorganization energy constraints for a multistate system. This is achieved through a novel extension of the nuclear coordinate space, which provides a physically grounded and geometrically intuitive representation of a globally shared, correlated bath. We detail the construction of the MSH Hamiltonian and its equivalent multistate reaction coordinate (MRC) representation and discuss its applications in conjunction with various dynamical methods, including perturbative quantum master equations and semiclassical nonadiabatic dynamics approaches, as well as rate constant and time-dependent rate. The MSH/MRC models not only provide a robust platform for predictive simulations of charge and energy transfer in the condensed phase but also serve as an invaluable tool for benchmarking the accuracy of approximate quantum dynamics methods.

Identifiers

PMID41364620
PMCPMC12746476

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Registered trials

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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.