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Showing 9 open source projects for "siesta"
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PRTG Network Monitor is an all-inclusive monitoring software solution developed by Paessler. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine, PRTG Network Monitor optimizes connections and workloads as well as reduces operational costs by avoiding outages while saving time and controlling service level agreements (SLAs). The solution is packed with specialized monitoring features that include flexible alerting, cluster failover solution, distributed monitoring, in-depth reporting, maps and dashboards, and more.
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Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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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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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... -
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dft_installer.sh
Instalador automatizado de VASP, SIESTA, bibliotecas y utilerias
Instalador automatizado de VASP, SIESTA, bibliotecas y utilerias en modalidad serial y paralela en ambiente Linux. (dft_installer.sh) Gustavo Domínguez Rodríguez, Gabriel Iván Canto Santana, Jorge Alejandro Tapia Gonzalez, Cesar Alberto Cab Cauich El software científico de alto desempeño es comúnmente compilado en el equipo de cómputo a usar, para así optimizarlo de acuerdo con las características del mismo. No obstante, la compilación suele ser un proceso tedioso, y frecuentemente... -
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CIF2Cell
Generating cells for electronic structure calculations from CIF files
CIF2Cell is a tool to generate the geometrical setup for various electronic structure codes from a CIF (Crystallographic Information Framework) file. 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... -
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
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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. -
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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.... -
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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. -
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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.
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Google Cloud’s AI-powered APIs help you translate documents, websites, apps, audio files, videos, and more at scale with best-in-class quality and enterprise-grade control and security.
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