ReviewChemical reviews2026
Modeling Targeted Mechanochemistry in Polymeric Solids.
Review in Chemical reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Embedding mechanophores into polymeric solids enables the design of materials that respond to mechanical stimuli, with applications in sensing, self-healing, and adaptive systems. This review summarizes modeling approaches for mechanophores in polymer solids across multiple length scales, from nanoscale quantum chemical models and mesoscale reactive molecular dynamics to macroscale continuum frameworks. We also discuss theoretical foundations such as force-modified potential energy surfaces. We then compare computational strategies to experimental insights, highlighting key findings, ranging from the roles of mechanophore geometry, chemical substituents, network architecture, and physical cross-linking in force transduction and activation. Persistent challenges in the field include capturing multiscale dynamics, local environmental effects, and heterogeneity. Advancing predictive models will accelerate mechanophore discovery and enable rational design of mechanoresponsive polymeric solids.
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.