ForceFromPotential(potential)

Set up force using the derivative of a potential.

Fields

• potential - Potential name, should be the name of a function implemented in LangevinIntegrators

ForceFromBasis(potential)

Set up force using a set of basis function from ApproxFun package. See https://juliaapproximation.github.io/ApproxFun.jl/latest/usage/spaces/ for a list of available basis

Fields

• type - Basis name, should be the name of a space implemented in ApproxFun
• coeffs - Coefficient of the force in the basis

ForceFromSplines(k, knots, coeffs)

Set up force using splines from BSplineKit.

Fields

• k - Degree of the splines
• knots - Knots
• coeffs - Coefficients

ForceFromScipySplines(k, knots, coeffs)

Set up force using splines from scipy. This is slower than julia implemenation of splines but allow to use the python implementation if needed.

Fields

• k - Degree of the splines
• knots - Knots
• coeffs - Coefficients

UWall(exponent, at, strenght)

Add an upper wall to the system strenght*(x-at)^exponent if x >= at

LWall(exponent, at, strenght)

Add an lower wall to the system strenght*(x-at)^exponent if x <= at

Quadratic(at, strenght)

Add a quadratic bias to the system

When we want to appy boundary conditions, define a SeparateSpace, that hold one BC or constraints per dimension. That can hold a constraints on some dimension if needed