Model Edwards¶
- Arguments:
type (string) - Name of the model to use (Edwards)
Nref (float) - Reference degree of polymerization
bref (float) - Reference statistical segment length
initfields (json object) - Describes how to initialize fields within model. See Initialize Model Fields
C or rho0 (float) - System density
. Only one can be specified.B or u0 (float) - Excluded volume parameter
. Only one can be specified.
Example (python):
fts.model(Nref=1.0,bref=1.0,C=4.0,B=2.0,type='Edwards')
Example (json):
"model": {
"Nref": 1.0,
"bref": 1.0,
"C": 4.0,
"B": 2.0,
"initfields": {
"mu": {
"type": "random",
"mean": 1.0,
"stdev": 0.1
}
},
"type": "Edwards"
},
"model": {
"type": "Edwards",
"Nref": 1.0,
"bref": 1.0,
"nu0": 30,
"rho0": 10,
"initfields": {
"mu": {
"seed": 0,
"type": "random"
}
}
},
Model Edwards Formalism¶
References: Delaney2016, Villet2014
The model
where
where
The field theory derived for this model is
where
By introducing the following variables
TODO: lots of these rescaling conventions are recycled from model to model. Can I combine into one place?
The density operator
The force is
For a homogeneous saddle point