Search Results for "density functional theory matlab"
Sort By:
Showing 11 open source projects for "density functional theory matlab"
View related business solutions-
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
-
HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
-
1
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. -
2
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. -
3
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... -
4
MO Analyzer is a matlab-based toolbox tailored for ADF and ORCA users to explore density functional theory (DFT) output files from these packages.
-
Calmerry is beneficial for businesses of all sizes, particularly those in high-stress industries, organizations with remote teams, and HR departments seeking to improve employee well-being and productivity
-
5
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.
-
6
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... -
7
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
-
8
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.
-
9
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... -
Define and Deliver Comprehensive Cybersecurity Services. Security threats continue to grow, and your clients are most likely at risk. Small- to medium-sized businesses (SMBs) are targeted by 64% of all cyberattacks, and 62% of them admit lacking in-house expertise to deal with security issues. Now technology solution providers (TSPs) are a prime target. Enter ConnectWise Cybersecurity Management (formerly ConnectWise Fortify) — the advanced cybersecurity solution you need to deliver the managed detection and response protection your clients require. Whether you’re talking to prospects or clients, we provide you with the right insights and data to support your cybersecurity conversation. From client-facing reports to technical guidance, we reduce the noise by guiding you through what’s really needed to demonstrate the value of enhanced strategy.
-
10
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). -
11
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.
- Previous
- You're on page 1
- Next