ArticleScience advances2019
Energy renormalization for coarse-graining polymers having different segmental structures.
Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
17 citing papers in PubMed.
- Computational rheometry for modeling viscoelasticity and mechanical responses of biomolecular condensates.Biophysical journal · 2026Article
- A molecular dynamics study of the structure and dynamics of screened polyelectrolyte complex materials.Soft matter · 2026Article
- Atomistic Polymer Modeling: Recent Advances and Challenges in Building and Parametrization Workflows.Macromolecules · 2025Review
- Article
- Porous nanoparticles overcome the conventional stiffness-damping tradeoff in polymer nanocomposites.npj soft matter · 2025Article
- Do Specific Ion Effects on Collective Relaxation Arise from Perturbation of Hydrogen-Bonding Network Structure?The journal of physical chemistry. B · 2024Article
- Chemically Specific Systematic Coarse-Grained Polymer Model with Both Consistently Structural and Dynamical Properties.JACS Au · 2024Article
- B-factor prediction in proteins using a sequence-based deep learning model.Patterns (New York, N.Y.) · 2023Article
- Comparison of Friction Parametrization from Dynamics and Material Properties for a Coarse-Grained Polymer Melt.The journal of physical chemistry. B · 2023Article
- Bottom-up Coarse-Graining: Principles and Perspectives.Journal of chemical theory and computation · 2022Review
- Mesoscopic and multiscale modelling in materials.Nature materials · 2021Review
- Understanding the Mechanical and Viscoelastic Properties of Graphene Reinforced Polycarbonate Nanocomposites Using Coarse-Grained Molecular Dynamics Simulations.Computational materials science · 2021Article
- Dynamically consistent coarse-grain simulation model of chemically specific polymer melts via friction parameterization.The Journal of chemical physics · 2021Article
- Systematic Coarse-graining of Epoxy Resins with Machine Learning-Informed Energy Renormalization.npj computational materials · 2021Article
- Importance of Interface in the Coarse-Grained Model of CNT /Epoxy Nanocomposites.Nanomaterials (Basel, Switzerland) · 2019Article
- Influence of Branching on the Configurational and Dynamical Properties of Entangled Polymer Melts.Polymers · 2019Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiscale coarse-grained (CG) modeling of soft materials, such as polymers, is currently an art form because CG models normally have significantly altered dynamics and thermodynamic properties compared to their atomistic counterparts. We address this problem by exploiting concepts derived from the generalized entropy theory (GET), emphasizing the central role of configurational entropy
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.