Evidence map›Paper›PMID 30048134›Full record

ArticleThe journal of physical chemistry letters2018

First-Principles Prediction of Wavelength-Dependent Product Quantum Yields.

Travis Thompson, Enrico Tapavicza

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. TURBOMOLE: Today and Tomorrow.Journal of chemical theory and computation · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

2 authors.

Travis ThompsonDepartment of Chemistry and Biochemistry , California State University, Long Beach , 1250 Bellflower Blvd. , Long Beach , California 90840 , United States.
Enrico TapaviczaDepartment of Chemistry and Biochemistry , California State University, Long Beach , 1250 Bellflower Blvd. , Long Beach , California 90840 , United States.ORCID http://orcid.org/0000-0002-0640-0297

Funding

CSULB Building Biomedical Research Program: Overall ComponentUL1GM118979 · NIGMS · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI CHUN, CHI-AH, DILLON, JESSE · 2015 to 2023
$20.7M
CSULB Building Biomedical Research Program: Student Training CoreTL4GM118980 · NIGMS · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI CHUN, CHI-AH, DILLON, JESSE · 2015 to 2023
$12.3M
CSULB Building Biomedical Research Program: Research Enrichment CoreRL5GM118978 · NIGMS · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI CHUN, CHI-AH, DILLON, JESSE · 2015 to 2023
$7.3M
Ab initio modelling of vitamin D photochemistry in biological membranesR15GM126524 · NIGMS · CALIFORNIA STATE UNIVERSITY LONG BEACH · PI TAPAVICZA, ENRICO · 2017 to 2017
$443k
NIGMS NIH HHS R15 GM126524NIGMS NIH HHS RL5 GM118978NIGMS NIH HHS TL4 GM118980NIGMS NIH HHS UL1 GM118979
6 · The paper itself

Abstract

We present a method to predict wavelength-dependent product quantum yields (PQYs) for photochemical reactions and applied it to Z/E-isomerization and several ring-closing reactions of Z-2,5-dimethyl-1,3,5-hexatriene and truncated previtamin D. Using branching ratios from surface hopping molecular dynamics, individual trajectories are correlated with the absorption spectra of their initial structures. The wavelength-dependent PQYs are computed by dividing the average spectrum of the initial structures of the product-forming trajectories by the average spectrum of all initial structures. Accurate absorption spectra are calculated using the correlated ADC(2) method with an implicit solvent. Calculations reproduce the experimentally found trend of increasing six-ring formation and decreasing Z/E-isomerization on the red side of the spectrum. Over all seven reactions studied, the mean absolute error (MAE) between experimental and calculated PQYs (MAE) amounts to 8.1%, and the largest MAE is 18.6%. For four reactions, predicted values agree quantitatively with experiments within 5.6%.

Identifiers

PMID30048134
PMCPMC6211794

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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.