Evidence map›Paper›PMID 35054751›Full record

ArticlePolymers2022

Predicting the Mechanical Response of Polyhydroxyalkanoate Biopolymers Using Molecular Dynamics Simulations.

Karteek K Bejagam, Nevin S Gupta, Kwan-Soo Lee, Carl N Iverson, Babetta L Marrone, Ghanshyam Pilania

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
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

6 authors.

Karteek K BejagamLos Alamos National Laboratory, Materials Science and Technology Division, Los Alamos, NM 87545, USA.ORCID 0000-0002-8660-9946
Nevin S GuptaLos Alamos National Laboratory, Chemistry Division, Los Alamos, NM 87545, USA.
Kwan-Soo LeeLos Alamos National Laboratory, Chemistry Division, Los Alamos, NM 87545, USA.ORCID 0000-0002-5315-3487
Carl N IversonLos Alamos National Laboratory, Chemistry Division, Los Alamos, NM 87545, USA.ORCID 0000-0002-9854-0026
Babetta L MarroneLos Alamos National Laboratory, Bioscience Division, Los Alamos, NM 87545, USA.ORCID 0000-0001-5002-1289
Ghanshyam PilaniaLos Alamos National Laboratory, Materials Science and Technology Division, Los Alamos, NM 87545, USA.ORCID 0000-0003-4460-1572

Funding

Los Alamos National Laboratory 20190001DR; 20200688PRD2
6 · The paper itself

Abstract

Polyhydroxyalkanoates (PHAs) have emerged as a promising class of biosynthesizable, biocompatible, and biodegradable polymers to replace petroleum-based plastics for addressing the global plastic pollution problem. Although PHAs offer a wide range of chemical diversity, the structure-property relationships in this class of polymers remain poorly established. In particular, the available experimental data on the mechanical properties is scarce. In this contribution, we have used molecular dynamics simulations employing a recently developed forcefield to predict chemical trends in mechanical properties of PHAs. Specifically, we make predictions for Young's modulus, and yield stress for a wide range of PHAs that exhibit varying lengths of backbone and side chains as well as different side chain functional groups. Deformation simulations were performed at six different strain rates and six different temperatures to elucidate their influence on the mechanical properties. Our results indicate that Young's modulus and yield stress decrease systematically with increase in the number of carbon atoms in the side chain as well as in the polymer backbone. In addition, we find that the mechanical properties were strongly correlated with the chemical nature of the functional group. The functional groups that enhance the interchain interactions lead to an enhancement in both the Young's modulus and yield stress. Finally, we applied the developed methodology to study composition-dependence of the mechanical properties for a selected set of binary and ternary copolymers. Overall, our work not only provides insights into rational design rules for tailoring mechanical properties in PHAs, but also opens up avenues for future high throughput atomistic simulation studies geared towards identifying functional PHA polymer candidates for targeted applications.

Indexed as

atomistic simulationschemical trendsPHAspolymer designproperty predictions

Identifiers

PMID35054751
PMCPMC8778129

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.