Hello everyone, I have an update: if you want to know more about pymablock, we will be giving an online talk about it. We will explain the algorithms we developed, show the package capabilities in a tutorial, and of course we'll be happy to answer your questions!
The talk will take place Wednesday Nov 15 at 17:00 EU time / 11:00 Eastern time. The details are here: https://virtualscienceforum.org/speakers-corner/#pymablock-a-software-package-for-constructing-effective-models Best, Anton (on behalf of pymablock maintainers) On Tue, 20 Jun 2023 at 16:22, Anton Akhmerov <i...@antonakhmerov.org> wrote: > > Hello fellow Kwanters, > > I am happy to announce Pymablock, a Python package useful to combine > with Kwant. Its main purpose is constructing effective models using > perturbation theory, which may help you in different ways. > Pymablock allows you to analyse the behavior of a few levels of a > large Hamiltonian, or to construct a symbolic k.p model. > > We originally wrote the code for one of our projects, but then saw > that this tool is useful almost for the entire group, so we decided to > turn it into a package. > We spent countless hours generalizing, optimizing, and testing it so > that it is efficient and reliable. > Now it handles multiple perturbations to any order, and it is > compatible with symbolic and numerical calculations. > We hope that Pymablock will save you a lot of effort and computation > time. To see where it can help, check out our its documentation > (https://pymablock.rtfd.io/), and in particular the tutorials about > the k.p model of bilayer graphene > (https://pymablock.readthedocs.io/en/latest/tutorial/bilayer_graphene.html) > or the induced superconducting gap > (https://pymablock.readthedocs.io/en/latest/tutorial/induced_gap.html). > > Just like Kwant, Pymablock is open source > (https://gitlab.kwant-project.org/qt/pymablock), and you are welcome > to follow and contribute to its development. > > Let us know if you have any questions or comments! Also if there's > interest we can organize an online introduction of the package > > Best, > Anton Akhmerov and the Pymablock maintainers: > Isidora Araya Day and Sebastian Miles
