Showing 9 open source projects for "siesta"

View related business solutions
  • Stop Storing Third-Party Tokens in Your Database Icon
    Stop Storing Third-Party Tokens in Your Database

    Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.

    Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
    Try Auth0 for Free
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • 1
    DeepH-pack

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2

    dft_installer.sh

    Automated Installer for VASP, SIESTA, their libraries and utilities

    Automated Installer for VASP, SIESTA, and their libraries and utilities for serial and parallel modes in a Linux environment. (dft_installer.sh) Gustavo Domínguez Rodríguez, Gabriel Iván Canto Santana, Jorge Alejandro Tapia Gonzalez, Cesar Alberto Cab Cauich High-performance scientific software is commonly compiled on the computing system, for optimizing it according to its specific characteristics.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Siesta

    Siesta

    The civilized way to write REST API clients for iOS / macOS

    Drastically simplifies app code by providing a client-side cache of observable models for RESTful resources. The elegant way to write iOS / macOS REST clients. You need to display response data whenever it arrives. Unless the requesting screen is no longer visible. Unless some other currently visible bit of UI happens to need the same data. Or is about to need it. You should show a loading indicator (but watch out for race conditions that leave it stuck spinning forever), display...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4

    CIF2Cell

    Generating cells for electronic structure calculations from CIF files

    ...The program currently supports output for a number of popular electronic structure programs, including ABINIT, ASE, CASTEP, CP2K, CPMD, CRYSTAL09, Elk, EMTO, Exciting, Fleur, FHI-aims, Hutsepot, MOPAC, Quantum Espresso, RSPt, Siesta, SPR-KKR, VASP. Also exports some related formats like .coo, .cfg and .xyz-files. The program has been published in Computer Physics Communications 182 (2011) 1183–1186. Please cite generously.
    Downloads: 4 This Week
    Last Update:
    See Project
  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • 5

    Inelastica

    Transport code and tools based on SIESTA and TranSIESTA (DFT-NEGF)

    NOTE: The Inelastica project moved to https://github.com/tfrederiksen/inelastica/ in February 2018. Pre- and post-processing tools for SIESTA (DFT, quantum chemistry) and TranSIESTA (quantum transport): (1) Calculate phonon frequencies, e-ph couplings, and inelastic contributions to the conductance (IETS). (2) Access Hamiltonian etc from Python. Some code documentation and installation instructions are available at this mediawiki page: http://dipc.ehu.es/frederiksen/inelastica/index.php.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    MUSE

    MUSE

    A Multi-algorithm Collaborative Structure-prediction Environment

    MUSE is short for Multi-algorithm-collaborative Universal Structure-prediction Environment, which was developed for easy use in structure prediction of materials under ambient or extreme conditions, such as high pressure. It was written in Python and organically combined the multi algorithms including the evolutionary algorithm, the simulated annealing algorithm and the basin hopping algorithm to collaboratively search the global energy minimum of materials with the fixed stoichiometry....
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7

    ANT.1D

    Quantum transport for tight-binding and ab initio Hamiltonians

    ANT.1D is a stand-alone quantum transport code for essentially one-dimensional setups described by tight-binding or ab initio Kohn-Sham Hamiltonians obtained from other codes working with atomic basis sets (Gaussian, Crystal,SIESTA). Interfaces with Crystal and Gaussian codes are available. Electrodes are described either by nanowires of finite thickness or Bethe lattice electrodes.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    The Siesta project team has witnessed many discussions by people suggesting that if Mailman was written in Perl they would hack on it. However nothing has happened so far and so they're writing in it in a few lazy afternoons, hence Siesta.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Catch Bugs Before Your Customers Do Icon
    Catch Bugs Before Your Customers Do

    Real-time error alerts, performance insights, and anomaly detection across your full stack. Free 30-day trial.

    Move from alert to fix before users notice. AppSignal monitors errors, performance bottlenecks, host health, and uptime—all from one dashboard. Instant notifications on deployments, anomaly triggers for memory spikes or error surges, and seamless log management. Works out of the box with Rails, Django, Express, Phoenix, Next.js, and dozens more. Starts at $23/month with no hidden fees.
    Try AppSignal Free
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB