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Bump version to 0.7.12
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Project.toml

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name = "DFTK"
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uuid = "acf6eb54-70d9-11e9-0013-234b7a5f5337"
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authors = ["Michael F. Herbst <info@michael-herbst.com>", "Antoine Levitt <antoine.levitt@inria.fr>"]
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version = "0.7.11"
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version = "0.7.12"
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AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"

docs/src/guide/introductory_resources.md

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For a list of articles dealing with novel research aspects achieved using DFTK,
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see [Publications](@ref).
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## Julia resources
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- There are tons of great resources for learning Julia on the internet.
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For a comprehensive overview see the [JuliaLang learning website](https://julialang.org/learning/)
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- Condensed introductions are also provided in
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[Michael's numerical analysis course](https://teaching.matmat.org/numerical-analysis/exercises/ex0_introduction_julia_pluto_statement.html)
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or the
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[programming for mathematical applications](http://persson.berkeley.edu/Programming_for_Mathematical_Applications/)
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class at UC Berkeley.
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## Workshop material and tutorials
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- [DFTK school 2022: Numerical methods for density-functional theory simulations](https://school2022.dftk.org):
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Summer school centred around the DFTK code and modern approaches to density-functional theory.

docs/src/publications.md

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([Computational script](https://github.com/JuliaMolSim/DFTK.jl/blob/f7fcc31c79436b2582ac1604d4ed8ac51a6fd3c8/examples/publications/2022_cazalis.jl)).
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- E. Cancès, G. Kemlin, A. Levitt.
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[*A Priori Error Analysis of Linear and Nonlinear Periodic Schr\"{o}dinger Equations with Analytic Potentials*](https://doi.org/10.1007/s10915-023-02421-0)
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[*A Priori Error Analysis of Linear and Nonlinear Periodic Schrödinger Equations with Analytic Potentials*](https://doi.org/10.1007/s10915-023-02421-0)
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J. Sci. Comp., **98**, 25 (2024).
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[ArXiv:2206.04954](https://arxiv.org/abs/2206.04954).
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