Mechanical Tuning of Singlet–Triplet Resonance for Efficient Triplet–Triplet Annihilation Upconversion

Abstract Triplet–triplet annihilation upconversion depends on a near-resonant energetic balance between the relevant singlet and triplet excited states. Here we introduce a computational framework for mechanically tuning this balance by applying an external force that permits to locate the molecular geometry reaching the singlet–triplet resonance condition, i.e., ES1 – ES0 = 2(ET1 – ES0). Our approach formulates this problem as a constrained optimization in which the force magnitude is minimized while enforcing the target energetic resonance condition. Using a local quadratic model for the triplet-state potential energy surface together with a linearized description of the relevant energy gaps, we derive a minimum-force update procedure to obtain the optimal displacement and the associated external force. The resulting algorithm provides the mechanically controlled geometry and the optimal force vector required to reach it. The method offers a practical computational route to identify mechanically accessible structures with improved upconversion characteristics, paving the way for the design of mechanoresponsive chromophores and materials with stress-tunable optical behavior.

Authors

Institutions

Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2026-09-25
DOI
https://doi.org/10.1021/acs.jctc.6c01488
Primary Topic
Luminescence and Fluorescent Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Mechanical Tuning of Singlet–Triplet Resonance for Efficient Triplet–Triplet Annihilation Upconversion

Pedro B. Coto, Luis Manuel Frutos, Edgard Miranda-Sáenz
Journal of Chemical Theory and Computation
Luminescence and Fluorescent Materials
article

Mechanical Tuning of Singlet–Triplet Resonance for Efficient Triplet–Triplet Annihilation Upconversion

Pedro B. Coto, Luis Manuel Frutos, Edgard Miranda-Sáenz
article en

Abstract

Abstract Triplet–triplet annihilation upconversion depends on a near-resonant energetic balance between the relevant singlet and triplet excited states. Here we introduce a computational framework for mechanically tuning this balance by applying an external force that permits to locate the molecular geometry reaching the singlet–triplet resonance condition, i.e., ES1 – ES0 = 2(ET1 – ES0). Our approach formulates this problem as a constrained optimization in which the force magnitude is minimized while enforcing the target energetic resonance condition. Using a local quadratic model for the triplet-state potential energy surface together with a linearized description of the relevant energy gaps, we derive a minimum-force update procedure to obtain the optimal displacement and the associated external force. The resulting algorithm provides the mechanically controlled geometry and the optimal force vector required to reach it. The method offers a practical computational route to identify mechanically accessible structures with improved upconversion characteristics, paving the way for the design of mechanoresponsive chromophores and materials with stress-tunable optical behavior.

Journal of Chemical Theory and Computation
Universidad de Alcalá (ES), Nanomaterials and Nanotechnology Research Center (ES)
Affordable and clean energy
Openalex Percentile: Top 25%
Luminescence and Fluorescent Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mechanical Tuning of Singlet–Triplet Resonance for Efficient Triplet–Triplet Annihilation Upconversion — Pedro B. Coto, Luis Manuel Frutos, et al. · Journal of Chemical Theory and Computation (2026) | TGRS Research Map | TGRS