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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Supporting Data and Code for "Mechanical Tuning of Singlet–Triplet Resonance for Efficient Triplet–Triplet Annihilation Upconversion"

Authors: Miranda-Sáenz, Edgard; Coto, Pedro B.; Frutos, Luis Manuel;

Supporting Data and Code for "Mechanical Tuning of Singlet–Triplet Resonance for Efficient Triplet–Triplet Annihilation Upconversion"

Abstract

This dataset contains the computational data and source code for the manuscript “Mechanical Tuning of Singlet–Triplet Resonance for Efficient Triplet–Triplet Annihilation Upconversion.” It includes Gaussian 16 input and output files for the S₀, S₁, and T₁ electronic states, optimized geometries, frequency calculations, vertical excitation calculations, force-distorted resonance structures, and the complete optimization trajectories for anthracene, 1,4-bis(phenylethynyl)benzene (BPEB), and 9,10-diphenylanthracene (DPA). The repository also provides the Fortran implementation of the constrained minimum-force algorithm developed to identify the molecular displacement and external force required to satisfy the singlet–triplet resonance condition relevant to TTA-UC, together with example input and output files and compilation instructions.

Keywords

Computational chemistry, Mechano-photochemistry, External mechanical forces, Molecular photophysics, Excited states, Density functional theory, Triplet–triplet annihilation upconversion, Singlet–triplet resonance, Constrained optimization, TD-DFT, TTA-UC, Mechanochemistry

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average