ArticleThe journal of physical chemistry letters2026
Accurate Prediction of Photoinduced Electron Transfer Timescales with Nonadiabatic Microcanonical Rate Theory.
Article in The journal of physical chemistry letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Strand Structure Controls Photoinduced Self-Repair of RNA Uracil Dimers.The journal of physical chemistry letters · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photoinduced electron transfer (PET) lies at the heart of energy conversion from light into chemical reactions. It governs a variety of biological processes including DNA damage and repair and biological photosynthesis. Quantifying PET rates and optimizing them is also crucial for selective photoredox catalysis. However, commonly used rate theories break down for PET operating in the strong coupling and nonequilibrium regimes, while excited-state dynamics simulations are computationally demanding and require complex analysis to extract PET times. Here, we employed surface-hopping nonadiabatic excited-state dynamics simulations and statistical rate theories to characterize ultrafast PET in a dimer of stacked adenine nucleobases. We show that the widely used classical Marcus Theory and Fermi's Golden Rule fail to describe ultrafast PET or even reproduce qualitative rate trends. Instead, we propose a chromophore-localized variant of nonadiabatic Rice-Rampsperger-Kassel-Marcus (NA-RRKM) theory, which yields PET timescales that are in excellent agreement with excited-state dynamics simulations.
Identifiers
What OpenQuestion holds
Registered trials
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.