AFMFittingInteraction #
Flexible fitting potential to an AFM image.
It is developed in the following paper.
- T. Niina et al., JCTC (2020)
 
Example #
[[forcefields.external]]
interaction = "AFMFlexibleFitting"
k           = 100.0
gamma       =   1.0
pixel_x     =  10.0
pixel_y     =  10.0
length_x    =   5
length_y    =   5
sigma_x     =   2.0
sigma_y     =   2.0
z0          = 0.0
cutoff      = 5.0
margin      = 0.5
image       = [
    0.0, 0.0, 0.0, 0.0, 0.0,
    0.0, 0.0, 0.0, 0.0, 0.0,
    0.0, 0.0, 0.5, 1.0, 0.5,
    0.0, 0.0, 1.0, 2.0, 1.0,
    0.0, 0.0, 0.5, 1.0, 0.5,
]
parameters  = [
{index = 0, radius = 1.0},
{index = 1, radius = 2.0},
{index = 4, radius = 3.0},
{index = 5, radius = 4.0},
]
Input Reference #
interaction: String- Name of the interaction. Here, it is 
"AFMFlexibleFitting". 
- Name of the interaction. Here, it is 
 k: Floating- It determines the strength of the potential.
 
gamma: Floating- It determines the accuracy of the softmax.
 
pixel_x, pixel_y: Floating- The pixel size along each axis.
 
length_x, length_y: Integer- The number of pixels along each axis.
 
sigma_x, sigma_y: Floating- \( \sigma \) values in \( H \) function along each axis.
 
z0: Floating- A parameter to reduce the numerical error internally. Normally, 0 is okay.
 
cutoff: Floating- Cutoff length for the gaussian relative to \( \sigma \) .
 
margin: Floating- Margin used in the internal neighboring list, relative to the cutoff length.
 
image: Array of Floatings- The reference image. Each pixel has height in z direction.
 - The first element has (0, 0) pixel, (1, 0) pixel, … (Lx, 0) pixel, (0, 1) pixel, … and so on.
 - The (0, 0) pixel is the rectangular region from the origin, 
(0.0, 0.0), to(pixel_x, pixel_y). - The (n, m) pixel is the rectangular region from 
(n*pixel_x, m*pixel_y)to((n+1) pixel_x, (m+1)*pixel_y). 
parameters: Array of Tablesindex: Integer- The index of the particle.
 
radius: Floating- The radius of the particle.