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The density-functional toolkit, DFTK for short, is a collection of Julia routines for experimentation with plane-wave density-functional theory (DFT). The unique feature of this code is its emphasis on simplicity and flexibility with the goal of facilitating algorithmic and numerical developments as well as interdisciplinary collaboration in solid-state research.
Deep neural networks for density functional theory Hamiltonian
DeepH-pack is the official implementation of the DeepH (Deep Hamiltonian) method described in the paper Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation and in the Research Briefing. DeepH-pack supports DFT results made by ABACUS, OpenMX, FHI-aims or SIESTA and will support HONPAS.
Vibeplot presents a new and attractive way to visualize vibrational analysis from density functional calculations (DFT). It is especially targeted at the chemists. The interface can either be scripted or used interactively with QVibeplot.
A collection of projects I have developed in the past years. It contains: - a tool to compute height and angle of objects above horizon - a proof of concept of DFT and DWT to reduce audio files - a quantitative library with OOorg interface for Calc
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