This is a function to import vector file archives from oommf into Matlab
Oommf vector files must be written with the output Specifications "text %g"
instead of the default "binary 4" option. And the type of grid must be
Vector files will be imported into the object "data" which will have this
field: current applied magnetic field
xmin: minimum x value
xnodes: number of nodes used along x
xmax: maximum x value
ymin: minimum y value
ynodes: number of nodes used along y
ymax: maximum y value
zmin: minimum z value
znodes: number of nodes used along z
zmax: maximum z value
datax: component x of vector on data file
datay: component y of vector on data file
dataz: component z of vector on data file
positionx: x positions of vectors
positiony: y positions of vectors
positionz: z positions of vectors
We have created with Oommf the archive test.omf (included on the zip). To open it into "data"
Now we can make a 2D vector field
or calculate the divergence and plot it
For more examples, you can see my blog (look for Oommf, to be updated shortly):
 Oommf Micromagnetic simulator at NIST,
This function was written by :
B.Sc. in physics 2010
M.Sc. in Complex physics systems 2012
Ph.D Student between NPL (National Physical Laboratory) and Royal Holloway University of London
Héctor Corte (2020). Oommf vector data file to Matlab array (https://www.mathworks.com/matlabcentral/fileexchange/44187-oommf-vector-data-file-to-matlab-array), MATLAB Central File Exchange. Retrieved .
Hey, could you clarify how to modify this for working with files with the "Binary 4" output specification?
I'm trying to import .ovf files, but they are all in Binary 4 format.
I got this message "Error using oommfodt2matlab (line 43)
Not enough input arguments."
I wrote a few lines about exporting data on Oommf in my blog here: http://thebrickinthesky.wordpress.com/?p=3179&preview=true
There was a problem with 3D data files that now is solved.
An updated version is now available. The older version scan line by line for the data and took 30 s to upload the test.omf file into Matlab, this version uses textscan()and takes only about 0.17 s.