Search Results for "density functional theory matlab"
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Showing 19 open source projects for "density functional theory matlab"
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DFTK.jl
Density-functional toolkit
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. -
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MO Analyzer is a matlab-based toolbox tailored for ADF and ORCA users to explore density functional theory (DFT) output files from these packages.
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DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Implementation of robust dynamic Hamiltonian Monte Carlo methods in Julia. In contrast to frameworks that utilize a directed acyclic graph to build a posterior for a Bayesian model from small components, this package requires that you code a log-density function of the posterior in Julia. Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent... -
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Materials Discovery: GNoME
AI discovers 520000 stable inorganic crystal structures for research
Materials Discovery (GNoME) is a large-scale research initiative by Google DeepMind focused on applying graph neural networks to accelerate the discovery of stable inorganic crystal materials. The project centers on Graph Networks for Materials Exploration (GNoME), a message-passing neural network architecture trained on density functional theory (DFT) data to predict material stability and energy formation. Using GNoME, DeepMind identified 381,000 new stable materials, later expanding the dataset to include over 520,000 materials within 1 meV/atom of the convex hull as of August 2024. The repository provides datasets, model definitions, and interactive Colabs for exploring these materials, computing decomposition energies, and visualizing chemical families. ... -
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An all-electron full-potential linearised augmented-planewave (FP-LAPW) code. Designed to be as developer friendly as possible so that new developments in the field of density functional theory (DFT) can be added quickly and reliably.
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QuMuLuS++
A quantum chemical code based on wave functions and pseudopotentials.
What is QuMuLuS++? QuMuLuS++ is an open source quantum chemical program, i. e., a program for the computation of molecular properties with quantum chemical models. How do I obtain a copy of the code? hg clone http://hg.code.sf.net/p/qumulus/code qumulus-code How do I install the code? Installing the code for the first time, follow the description given in the INSTALL file in the source directory. How do I update the code? The code is updated regularly. For how to update... -
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PH-NODE
Code for finding phonon nodes using first-principle approach.
PH-NODE is a Python 3 based code designed for finding topological phonon nodes (branch-degenerate points) in a material using first-principle approach. It is a density-functional perturbation theory and finite displacement supercell based software package for efficiently computing phonon nodes present in real material. The present version of the code is interfaced with the WIEN2k, Elk, and ABINIT packages. Please cite the paper mentioned below while using the PH-NODE code for your research. ... -
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DeepH-pack
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. -
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JDFTx
Joint Density Functional Theory
JDFTx is a plane-wave density functional theory code designed for electronic structure theory development. One prominent unique capability is the treatment of solvated electronic systems using joint density functional theory. Please see http://jdftx.org for download and compile instructions, tutorials, documentation and citation information. -
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SMASH
Massively parallel software for quantum chemistry calculations
Scalable Molecular Analysis Solver for High-performance computing systems (SMASH) is massively parallel software for quantum chemistry calculations and released under the Apache 2.0 open source license. It is currently capable of energy, analytical gradient, and geometry optimization calculations of Hartree-Fock theory and Density Functional Theory (DFT), and energy calculations of Second-order Moller-Plesset (MP2) perturbation theory. DFT calculations can be performed on 100,000 CPU cores with high parallel efficiency. -
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PROJECT DEVELOPEMENT IS MOVING TO GITHUB! New website: https://anharmonic.github.io/ Please get the latest version of the code from github repository: https://github.com/paulatz/d3q
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RMGDFT
Real Space Multigrid based electronic structure code.
...News: V2.2 with performance enhancements, bug fixes and new features released on 06/26/2017. Sources are available with binaries to follow soon. News: V2.1 with many improvements released on 07/15/2016. Sources and binaries are available. RMG is a density functional theory (DFT) based electronic structure code that uses real space grids to represent wavefunctions, charge densities and ionic potentials. Designed for scaleability it has been run successfully on systems with thousands of nodes and hundreds of thousands of CPU cores. It is currently under active development and contributions are gladly accepted. -
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CP2K is a freely available (GPL) program, written in Fortran 95, to perform atomistic and molecular simulations of solid state, liquid, molecular and biological systems. It provides a general framework for different methods such as e.g. density functional theory (DFT) using a mixed Gaussian and plane waves approach (GPW), and classical pair and many-body potentials.
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Grid-based Coupled Electron and Electromagnetic field Dynamics (GCEED) is an open-source software package for massively parallel first-principles calculations of electron dynamics in real time and real space. The program codes are written in the Fortran 90/95 language with MPI and OpenMP. Time dependent density functional theory (TD-DFT) calculations can be performed on 100,000 CPU cores of K Computer with high parallel efficiency.
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condensed matter laboratory
Application for quantum simulation and statistical properties
Condensed-Matter-Laboratory (CML) is an application for simulating solids and nanostructures and calculating different properties of them by density functional theory and using Green's function theory in tight-binding approximation to calculate phononic and spin dependent or independent electronic properties of different systems. Furthermore, it can be used for calculating thermodynamic properties of solids and nanostructures using statistical mechanics. The CML is a cross-platform application with a graphical user interface design that is user-friendly and easy to work with. ... -
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C-Tools
Input file preparation tool for DFT codes
This application can produce input files of various applications for density functional theory (DFT) calculations via user-friendly parameter adjustment using three-dimensional computer graphics (3DCG) and graphical user interfaces (GUI). Input-file conversion between different applications is also possible. Now C-Tools supports the three file formats for DFT codes, xTAPP, OpenMX, RSDFT, VASP and Quantum ESPRESSO(PWscf). -
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The ab initio Spinor Project is a scientifc code project based on density functional theory (DFT) within the ab initio pseudopotential frame work. The code implements the fundamental Kohn-Sham functions in form of two-component spinors, hence allowing to
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A state-of-the-art full-potential linearised augmented-planewave (FP-LAPW) code. Designed to be as developer friendly as possible so that new developments in the field of density functional theory (DFT) can be added quickly and reliably.
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