2018
DOI: 10.20944/preprints201811.0115.v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Optimization and Validation of Efficient Models for Predicting Polythiophene Self-Assembly

Abstract: We develop an optimized force-field for poly(3-hexylthiophene) (P3HT) and demonstrate its utility for predicting thermodynamic self-assembly. In particular, we consider short oligomer chains, model electrostatics and solvent implicitly, and coarsely model solvent evaporation. We quantify the performance of our model to determine what the optimal system sizes are for exploring self-assembly at combinations of state variables. We perform molecular dynamics simulations to predict the self-assembly of P3HT at ∼ 35… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Year Published

2018
2018
2018
2018

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 49 publications
0
4
0
Order By: Relevance
“…In previous work, we predicted equilibrium morphologies of P3HT at ∼ 100 combinations of temperature, T, and solvent strength, ε s [12]. Each of these model systems is monodisperse, with Figure 2b.…”
Section: Structure and Mobility In "Small" Morphologiesmentioning
confidence: 91%
See 3 more Smart Citations
“…In previous work, we predicted equilibrium morphologies of P3HT at ∼ 100 combinations of temperature, T, and solvent strength, ε s [12]. Each of these model systems is monodisperse, with Figure 2b.…”
Section: Structure and Mobility In "Small" Morphologiesmentioning
confidence: 91%
“…The P3HT morphologies studied here were previously predicted using MD simulations, and so only salient information will be covered here [12]. We investigate ∼ 100 morphologies generated from simulations using an adapted Optimized Performance for Liquid Simulations -United Atom forcefield to govern the non-bonded pair interactions (see Figure 1b) 2).…”
Section: Molecular Dynamics Simulationsmentioning
confidence: 99%
See 2 more Smart Citations