Difference between revisions of "ScatterSim"
KevinYager (talk | contribs) |
(→See Also) |
||
| (3 intermediate revisions by the same user not shown) | |||
| Line 2: | Line 2: | ||
* Citation: [[Yager, K.G.]]; Zhang, Y.; Lu, F.; Gang, O. "[http://scripts.iucr.org/cgi-bin/paper?S160057671302832X Periodic lattices of arbitrary nano-objects: modeling and applications for self-assembled systems]" ''Journal of Applied Crystallography'' '''2014''', 47, 118–129. [http://dx.doi.org/10.1107/S160057671302832X doi: 10.1107/S160057671302832X] | * Citation: [[Yager, K.G.]]; Zhang, Y.; Lu, F.; Gang, O. "[http://scripts.iucr.org/cgi-bin/paper?S160057671302832X Periodic lattices of arbitrary nano-objects: modeling and applications for self-assembled systems]" ''Journal of Applied Crystallography'' '''2014''', 47, 118–129. [http://dx.doi.org/10.1107/S160057671302832X doi: 10.1107/S160057671302832X] | ||
** See also [[Paper:Periodic lattices of arbitrary nano-objects: modeling and applications for self-assembled systems|summary of paper]]. | ** See also [[Paper:Periodic lattices of arbitrary nano-objects: modeling and applications for self-assembled systems|summary of paper]]. | ||
| − | * [ | + | * [http://github.com/CFN-softbio/ScatterSim Code available on github.] |
[[Image:NanoLattice cartoon.jpg|center|500px]] | [[Image:NanoLattice cartoon.jpg|center|500px]] | ||
==See Also== | ==See Also== | ||
| − | * [[ScatterSim:Examples]] | + | * [[ScatterSim:Installing| Installing ScatterSim]] |
| + | * [[ScatterSim:API | API]] | ||
| + | * [[ScatterSim:Examples | ScatterSim Examples]] | ||
| + | * [http://scattersim.readthedocs.io/en/latest/ ScatterSim Documentation] | ||
Latest revision as of 12:55, 28 July 2017
ScatterSim is a set of Python code for simulating the one-dimensional curve (circular average) for nanoparticle superlattices.
- Citation: Yager, K.G.; Zhang, Y.; Lu, F.; Gang, O. "Periodic lattices of arbitrary nano-objects: modeling and applications for self-assembled systems" Journal of Applied Crystallography 2014, 47, 118–129. doi: 10.1107/S160057671302832X
- See also summary of paper.
- Code available on github.
